Analysis of citation networks as a new tool for scientific research

DOE PAGES

Vasudevan, R. K.; Ziatdinov, M.; Chen, C.; ...

2016-12-06

The rapid growth of scientific publications necessitates new methods to understand the direction of scientific research within fields of study, ascertain the importance of particular groups, authors, or institutions, compute metrics that can determine the importance (centrality) of particular seminal papers, and provide insight into the social (collaboration) networks that are present. We present one such method based on analysis of citation networks, using the freely available CiteSpace Program. We use citation network analysis on three examples, including a single material that has been widely explored in the last decade (BiFeO 3), two small subfields with a minimal number ofmore » authors (flexoelectricity and Kitaev physics), and a much wider field with thousands of publications pertaining to a single technique (scanning tunneling microscopy). Interpretation of the analysis and key insights into the fields, such as whether the fields are experiencing resurgence or stagnation, are discussed, and author or collaboration networks that are prominent are determined. Such methods represent a paradigm shift in our way of dealing with the large volume of scientific publications and could change the way literature searches and reviews are conducted, as well as how the impact of specific work is assessed.« less

Analysis of citation networks as a new tool for scientific research

DOE Office of Scientific and Technical Information (OSTI.GOV)

Vasudevan, R. K.; Ziatdinov, M.; Chen, C.

The rapid growth of scientific publications necessitates new methods to understand the direction of scientific research within fields of study, ascertain the importance of particular groups, authors, or institutions, compute metrics that can determine the importance (centrality) of particular seminal papers, and provide insight into the social (collaboration) networks that are present. We present one such method based on analysis of citation networks, using the freely available CiteSpace Program. We use citation network analysis on three examples, including a single material that has been widely explored in the last decade (BiFeO 3), two small subfields with a minimal number ofmore » authors (flexoelectricity and Kitaev physics), and a much wider field with thousands of publications pertaining to a single technique (scanning tunneling microscopy). Interpretation of the analysis and key insights into the fields, such as whether the fields are experiencing resurgence or stagnation, are discussed, and author or collaboration networks that are prominent are determined. Such methods represent a paradigm shift in our way of dealing with the large volume of scientific publications and could change the way literature searches and reviews are conducted, as well as how the impact of specific work is assessed.« less

A main path domain map as digital library interface

NASA Astrophysics Data System (ADS)

Demaine, Jeffrey

2009-01-01

The shift to electronic publishing of scientific journals is an opportunity for the digital library to provide non-traditional ways of accessing the literature. One method is to use citation metadata drawn from a collection of electronic journals to generate maps of science. These maps visualize the communication patterns in the collection, giving the user an easy-tograsp view of the semantic structure underlying the scientific literature. For this visualization to be understandable the complexity of the citation network must be reduced through an algorithm. This paper describes the Citation Pathfinder application and its integration into a prototype digital library. This application generates small-scale citation networks that expand upon the search results of the digital library. These domain maps are linked to the collection, creating an interface that is based on the communication patterns in science. The Main Path Analysis technique is employed to simplify these networks into linear, sequential structures. By identifying patterns that characterize the evolution of the research field, Citation Pathfinder uses citations to give users a deeper understanding of the scientific literature.

Analysis of Collaboration and Co-Citation Networks between Researchers Studying Violence Involving Women

ERIC Educational Resources Information Center

Muñoz-Muñoz, Ana M.; Mirón-Valdivieso, M. Dolores

2017-01-01

Introduction: We analyse the collaboration and co-citation networks at the international level in scientific articles about violence against women. The aim is to identify who are writing about this subject, if they are women and/or men, who the most influential authors are and which institutions they belong to, and finally which authors are cited…

The Intellectual Structure of Research on Educational Technology in Science Education (ETiSE): A Co-Citation Network Analysis of Publications in Selected Journals (2008-2013)

ERIC Educational Resources Information Center

Tang, Kai-Yu; Tsai, Chin-Chung

2016-01-01

The main purpose of this paper is to investigate the intellectual structure of the research on educational technology in science education (ETiSE) within the most recent years (2008-2013). Based on the criteria for educational technology research and the citation threshold for educational co-citation analysis, a total of 137 relevant ETiSE papers…

Mapping the historical development of physical activity and health research: A structured literature review and citation network analysis.

PubMed

Varela, Andrea Ramirez; Pratt, Michael; Harris, Jenine; Lecy, Jesse; Salvo, Deborah; Brownson, Ross C; Hallal, Pedro C

2018-06-01

Little has been published about the historical development of scientific evidence in the physical activity (PA) and public health research field. The study aimed to examine the evolution of knowledge in this field. A structured literature review using formal citation network analysis methods was conducted in June-2016. Using a list of influential PA publications identified by domain experts, a snowball sampling technique was used to build a compact citation network of 141 publications that represents the backbone of the field. Articles were coded by study type and research team characteristics, then analyzed by visualizing the citation network and identifying research clusters to trace the evolution of the field. The field started in the 1950s, with a health sciences focus and strong North American and European leadership. Health outcome studies appeared most frequently in the network and policy and interventions least. Critical articles on objective measurement and public policy have influenced the progress from an emphasis on health outcomes research at early stages in the field to the more recent emerging built environment and global monitoring foci. There is only modest cross-citation across types of study. To our knowledge, this paper is the first to systematically describe the development of research on PA and public health. The key publications include fundamental ideas that remain citable over time, but notable research and dissemination gaps exist and should be addressed. Increasing collaboration and communication between study areas, encouraging female researchers, and increasing studies on interventions, evaluation of interventions and policy are recommended. Copyright © 2017 Elsevier Inc. All rights reserved.

Detecting trends in academic research from a citation network using network representation learning

PubMed Central

Mori, Junichiro; Ochi, Masanao; Sakata, Ichiro

2018-01-01

Several network features and information retrieval methods have been proposed to elucidate the structure of citation networks and to detect important nodes. However, it is difficult to retrieve information related to trends in an academic field and to detect cutting-edge areas from the citation network. In this paper, we propose a novel framework that detects the trend as the growth direction of a citation network using network representation learning(NRL). We presume that the linear growth of citation network in latent space obtained by NRL is the result of the iterative edge additional process of a citation network. On APS datasets and papers of some domains of the Web of Science, we confirm the existence of trends by observing that an academic field grows in a specific direction linearly in latent space. Next, we calculate each node’s degree of trend-following as an indicator called the intrinsic publication year (IPY). As a result, there is a correlation between the indicator and the number of future citations. Furthermore, a word frequently used in the abstracts of cutting-edge papers (high-IPY paper) is likely to be used often in future publications. These results confirm the validity of the detected trend for predicting citation network growth. PMID:29782521

Growing complex network of citations of scientific papers: Modeling and measurements

NASA Astrophysics Data System (ADS)

Golosovsky, Michael; Solomon, Sorin

2017-01-01

We consider the network of citations of scientific papers and use a combination of the theoretical and experimental tools to uncover microscopic details of this network growth. Namely, we develop a stochastic model of citation dynamics based on the copying-redirection-triadic closure mechanism. In a complementary and coherent way, the model accounts both for statistics of references of scientific papers and for their citation dynamics. Originating in empirical measurements, the model is cast in such a way that it can be verified quantitatively in every aspect. Such validation is performed by measuring citation dynamics of physics papers. The measurements revealed nonlinear citation dynamics, the nonlinearity being intricately related to network topology. The nonlinearity has far-reaching consequences including nonstationary citation distributions, diverging citation trajectories of similar papers, runaways or "immortal papers" with infinite citation lifetime, etc. Thus nonlinearity in complex network growth is our most important finding. In a more specific context, our results can be a basis for quantitative probabilistic prediction of citation dynamics of individual papers and of the journal impact factor.

Innovation network

PubMed Central

Acemoglu, Daron; Akcigit, Ufuk; Kerr, William R.

2016-01-01

Technological progress builds upon itself, with the expansion of invention in one domain propelling future work in linked fields. Our analysis uses 1.8 million US patents and their citation properties to map the innovation network and its strength. Past innovation network structures are calculated using citation patterns across technology classes during 1975–1994. The interaction of this preexisting network structure with patent growth in upstream technology fields has strong predictive power on future innovation after 1995. This pattern is consistent with the idea that when there is more past upstream innovation for a particular technology class to build on, then that technology class innovates more. PMID:27681628

The Privileging of Communitarian Ideas: Citation Practices and the Translation of Social Capital Into Public Health Research

PubMed Central

Moore, Spencer; Shiell, Alan; Hawe, Penelope; Haines, Valerie A.

2005-01-01

The growing use of social science constructs in public health invites reflection on how public health researchers translate, that is, appropriate and reshape, constructs from the social sciences. To assess how 1 recently popular construct has been translated into public health research, we conducted a citation network and content analysis of public health articles on the topic of social capital. The analyses document empirically how public health researchers have privileged communitarian definitions of social capital and marginalized network definitions in their citation practices. Such practices limit the way public health researchers measure social capital’s effects on health. The application of social science constructs requires that public health scholars be sensitive to how their own citation habits shape research and knowledge. PMID:16006421

From Excessive Journal Self-Cites to Citation Stacking: Analysis of Journal Self-Citation Kinetics in Search for Journals, Which Boost Their Scientometric Indicators.

PubMed

Heneberg, Petr

2016-01-01

Bibliometric indicators increasingly affect careers, funding, and reputation of individuals, their institutions and journals themselves. In contrast to author self-citations, little is known about kinetics of journal self-citations. Here we hypothesized that they may show a generalizable pattern within particular research fields or across multiple fields. We thus analyzed self-cites to 60 journals from three research fields (multidisciplinary sciences, parasitology, and information science). We also hypothesized that the kinetics of journal self-citations and citations received from other journals of the same publisher may differ from foreign citations. We analyzed the journals published the American Association for the Advancement of Science, Nature Publishing Group, and Editura Academiei Române. We found that although the kinetics of journal self-cites is generally faster compared to foreign cites, it shows some field-specific characteristics. Particularly in information science journals, the initial increase in a share of journal self-citations during post-publication year 0 was completely absent. Self-promoting journal self-citations of top-tier journals have rather indirect but negligible direct effects on bibliometric indicators, affecting just the immediacy index and marginally increasing the impact factor itself as long as the affected journals are well established in their fields. In contrast, other forms of journal self-citations and citation stacking may severely affect the impact factor, or other citation-based indices. We identified here a network consisting of three Romanian physics journals Proceedings of the Romanian Academy, Series A, Romanian Journal of Physics, and Romanian Reports in Physics, which displayed low to moderate ratio of journal self-citations, but which multiplied recently their impact factors, and were mutually responsible for 55.9%, 64.7% and 63.3% of citations within the impact factor calculation window to the three journals, respectively. They did not receive nearly any network self-cites prior impact factor calculation window, and their network self-cites decreased sharply after the impact factor calculation window. Journal self-citations and citation stacking requires increased attention and elimination from citation indices.

From Excessive Journal Self-Cites to Citation Stacking: Analysis of Journal Self-Citation Kinetics in Search for Journals, Which Boost Their Scientometric Indicators

PubMed Central

2016-01-01

Bibliometric indicators increasingly affect careers, funding, and reputation of individuals, their institutions and journals themselves. In contrast to author self-citations, little is known about kinetics of journal self-citations. Here we hypothesized that they may show a generalizable pattern within particular research fields or across multiple fields. We thus analyzed self-cites to 60 journals from three research fields (multidisciplinary sciences, parasitology, and information science). We also hypothesized that the kinetics of journal self-citations and citations received from other journals of the same publisher may differ from foreign citations. We analyzed the journals published the American Association for the Advancement of Science, Nature Publishing Group, and Editura Academiei Române. We found that although the kinetics of journal self-cites is generally faster compared to foreign cites, it shows some field-specific characteristics. Particularly in information science journals, the initial increase in a share of journal self-citations during post-publication year 0 was completely absent. Self-promoting journal self-citations of top-tier journals have rather indirect but negligible direct effects on bibliometric indicators, affecting just the immediacy index and marginally increasing the impact factor itself as long as the affected journals are well established in their fields. In contrast, other forms of journal self-citations and citation stacking may severely affect the impact factor, or other citation-based indices. We identified here a network consisting of three Romanian physics journals Proceedings of the Romanian Academy, Series A, Romanian Journal of Physics, and Romanian Reports in Physics, which displayed low to moderate ratio of journal self-citations, but which multiplied recently their impact factors, and were mutually responsible for 55.9%, 64.7% and 63.3% of citations within the impact factor calculation window to the three journals, respectively. They did not receive nearly any network self-cites prior impact factor calculation window, and their network self-cites decreased sharply after the impact factor calculation window. Journal self-citations and citation stacking requires increased attention and elimination from citation indices. PMID:27088862

PageRank without hyperlinks: Reranking with PubMed related article networks for biomedical text retrieval

PubMed Central

Lin, Jimmy

2008-01-01

Background Graph analysis algorithms such as PageRank and HITS have been successful in Web environments because they are able to extract important inter-document relationships from manually-created hyperlinks. We consider the application of these techniques to biomedical text retrieval. In the current PubMed® search interface, a MEDLINE® citation is connected to a number of related citations, which are in turn connected to other citations. Thus, a MEDLINE record represents a node in a vast content-similarity network. This article explores the hypothesis that these networks can be exploited for text retrieval, in the same manner as hyperlink graphs on the Web. Results We conducted a number of reranking experiments using the TREC 2005 genomics track test collection in which scores extracted from PageRank and HITS analysis were combined with scores returned by an off-the-shelf retrieval engine. Experiments demonstrate that incorporating PageRank scores yields significant improvements in terms of standard ranked-retrieval metrics. Conclusion The link structure of content-similarity networks can be exploited to improve the effectiveness of information retrieval systems. These results generalize the applicability of graph analysis algorithms to text retrieval in the biomedical domain. PMID:18538027

Stochastic Dynamical Model of a Growing Citation Network Based on a Self-Exciting Point Process

NASA Astrophysics Data System (ADS)

Golosovsky, Michael; Solomon, Sorin

2012-08-01

We put under experimental scrutiny the preferential attachment model that is commonly accepted as a generating mechanism of the scale-free complex networks. To this end we chose a citation network of physics papers and traced the citation history of 40 195 papers published in one year. Contrary to common belief, we find that the citation dynamics of the individual papers follows the superlinear preferential attachment, with the exponent α=1.25-1.3. Moreover, we show that the citation process cannot be described as a memoryless Markov chain since there is a substantial correlation between the present and recent citation rates of a paper. Based on our findings we construct a stochastic growth model of the citation network, perform numerical simulations based on this model and achieve an excellent agreement with the measured citation distributions.

Mining author relationship in scholarly networks based on tripartite citation analysis

PubMed Central

Wang, Xiaohan; Yang, Siluo

2017-01-01

Following scholars in Scientometrics as examples, we develop five author relationship networks, namely, co-authorship, author co-citation (AC), author bibliographic coupling (ABC), author direct citation (ADC), and author keyword coupling (AKC). The time frame of data sets is divided into two periods: before 2011 (i.e., T1) and after 2011 (i.e., T2). Through quadratic assignment procedure analysis, we found that some authors have ABC or AC relationships (i.e., potential communication relationship, PCR) but do not have actual collaborations or direct citations (i.e., actual communication relationship, ACR) among them. In addition, we noticed that PCR and AKC are highly correlated and that the old PCR and the new ACR are correlated and consistent. Such facts indicate that PCR tends to produce academic exchanges based on similar themes, and ABC bears more advantages in predicting potential relations. Based on tripartite citation analysis, including AC, ABC, and ADC, we also present an author-relation mining process. Such process can be used to detect deep and potential author relationships. We analyze the prediction capacity by comparing between the T1 and T2 periods, which demonstrate that relation mining can be complementary in identifying authors based on similar themes and discovering more potential collaborations and academic communities. PMID:29117198

Betweenness and diversity in journal citation networks as measures of interdisciplinarity-A tribute to Eugene Garfield.

PubMed

Leydesdorff, Loet; Wagner, Caroline S; Bornmann, Lutz

2018-01-01

Journals were central to Eugene Garfield's research interests. Among other things, journals are considered as units of analysis for bibliographic databases such as the Web of Science and Scopus. In addition to providing a basis for disciplinary classifications of journals, journal citation patterns span networks across boundaries to variable extents. Using betweenness centrality (BC) and diversity, we elaborate on the question of how to distinguish and rank journals in terms of interdisciplinarity. Interdisciplinarity, however, is difficult to operationalize in the absence of an operational definition of disciplines; the diversity of a unit of analysis is sample-dependent. BC can be considered as a measure of multi-disciplinarity. Diversity of co-citation in a citing document has been considered as an indicator of knowledge integration, but an author can also generate trans-disciplinary-that is, non-disciplined-variation by citing sources from other disciplines. Diversity in the bibliographic coupling among citing documents can analogously be considered as diffusion  or differentiation of knowledge across disciplines. Because the citation networks in the cited direction reflect both structure and variation, diversity in this direction is perhaps the best available measure of interdisciplinarity at the journal level. Furthermore, diversity is based on a summation and can therefore be decomposed; differences among (sub)sets can be tested for statistical significance. In the appendix, a general-purpose routine for measuring diversity in networks is provided.

Clustering Scientific Publications Based on Citation Relations: A Systematic Comparison of Different Methods.

PubMed

Šubelj, Lovro; van Eck, Nees Jan; Waltman, Ludo

2016-01-01

Clustering methods are applied regularly in the bibliometric literature to identify research areas or scientific fields. These methods are for instance used to group publications into clusters based on their relations in a citation network. In the network science literature, many clustering methods, often referred to as graph partitioning or community detection techniques, have been developed. Focusing on the problem of clustering the publications in a citation network, we present a systematic comparison of the performance of a large number of these clustering methods. Using a number of different citation networks, some of them relatively small and others very large, we extensively study the statistical properties of the results provided by different methods. In addition, we also carry out an expert-based assessment of the results produced by different methods. The expert-based assessment focuses on publications in the field of scientometrics. Our findings seem to indicate that there is a trade-off between different properties that may be considered desirable for a good clustering of publications. Overall, map equation methods appear to perform best in our analysis, suggesting that these methods deserve more attention from the bibliometric community.

Clustering Scientific Publications Based on Citation Relations: A Systematic Comparison of Different Methods

PubMed Central

Šubelj, Lovro; van Eck, Nees Jan; Waltman, Ludo

2016-01-01

Clustering methods are applied regularly in the bibliometric literature to identify research areas or scientific fields. These methods are for instance used to group publications into clusters based on their relations in a citation network. In the network science literature, many clustering methods, often referred to as graph partitioning or community detection techniques, have been developed. Focusing on the problem of clustering the publications in a citation network, we present a systematic comparison of the performance of a large number of these clustering methods. Using a number of different citation networks, some of them relatively small and others very large, we extensively study the statistical properties of the results provided by different methods. In addition, we also carry out an expert-based assessment of the results produced by different methods. The expert-based assessment focuses on publications in the field of scientometrics. Our findings seem to indicate that there is a trade-off between different properties that may be considered desirable for a good clustering of publications. Overall, map equation methods appear to perform best in our analysis, suggesting that these methods deserve more attention from the bibliometric community. PMID:27124610

Measuring Long-Term Impact Based on Network Centrality: Unraveling Cinematic Citations

PubMed Central

Spitz, Andreas; Horvát, Emőke-Ágnes

2014-01-01

Traditional measures of success for film, such as box-office revenue and critical acclaim, lack the ability to quantify long-lasting impact and depend on factors that are largely external to the craft itself. With the growing number of films that are being created and large-scale data becoming available through crowd-sourced online platforms, an endogenous measure of success that is not reliant on manual appraisal is of increasing importance. In this article we propose such a ranking method based on a combination of centrality indices. We apply the method to a network that contains several types of citations between more than 40,000 international feature films. From this network we derive a list of milestone films, which can be considered to constitute the foundations of cinema. In a comparison to various existing lists of ‘greatest’ films, such as personal favourite lists, voting lists, lists of individual experts, and lists deduced from expert polls, the selection of milestone films is more diverse in terms of genres, actors, and main creators. Our results shed light on the potential of a systematic quantitative investigation based on cinematic influences in identifying the most inspiring creations in world cinema. In a broader perspective, we introduce a novel research question to large-scale citation analysis, one of the most intriguing topics that have been at the forefront of scientific enquiries for the past fifty years and have led to the development of various network analytic methods. In doing so, we transfer widely studied approaches from citation analysis to the the newly emerging field of quantification efforts in the arts. The specific contribution of this paper consists in modelling the multidimensional cinematic references as a growing multiplex network and in developing a methodology for the identification of central films in this network. PMID:25295877

Co-citation Network Analysis of Religious Texts

NASA Astrophysics Data System (ADS)

Murai, Hajime; Tokosumi, Akifumi

This paper introduces a method of representing in a network the thoughts of individual authors of dogmatic texts numerically and objectively by means of co-citation analysis and a method of distinguishing between the thoughts of various authors by clustering and analysis of clustered elements, generated by the clustering process. Using these methods, this paper creates and analyzes the co-citation networks for five authoritative Christian theologians through history (Augustine, Thomas Aquinas, Jean Calvin, Karl Barth, John Paul II). These analyses were able to extract the core element of Christian thought (Jn 1:14, Ph 2:6, Ph 2:7, Ph 2:8, Ga 4:4), as well as distinctions between the individual theologians in terms of their sect (Catholic or Protestant) and era (thinking about the importance of God's creation and the necessity of spreading the Gospel). By supplementing conventional literary methods in areas such as philosophy and theology, with these numerical and objective methods, it should be possible to compare the characteristics of various doctrines. The ability to numerically and objectively represent the characteristics of various thoughts opens up the possibilities of utilizing new information technology, such as web ontology and the Artificial Intelligence, in order to process information about ideological thoughts in the future.

Do highly cited clinicians get more citations when being present at social networking sites?

PubMed

Ramezani-Pakpour-Langeroudi, Fatemeh; Okhovati, Maryam; Talebian, Ali

2018-01-01

The advent of social networking sites has facilitated the dissemination of scientific research. This article aims to investigate the presence of Iranian highly cited clinicians in social networking sites. This is a scientometrics study. Essential Science Indicator (ESI) was searched for Iranian highly cited papers in clinical medicine during November-December 2015. Then, the authors of the papers were checked and a list of authors was obtained. In the second phase, the authors' names were searched in the selected social networking sites (ResearchGate [RG], Academia, Mendeley, LinkedIn). The total citations and h-index in Scopus were also gathered. Fifty-five highly cited papers were retrieved. A total of 107 authors participated in writing these papers. RG was the most popular (64.5%) and LinkedIn and Academia were in 2 nd and 3 rd places. None of the authors of highly cited papers were subscribed to Mendeley. A positive direct relationship was observed between visibility at social networking sites with citation and h-index rate. A significant relationship was observed between the RG score, citations, reads indicators in RG, and citation numbers and there was a significant relationship between the number of document indicator in Academia and the citation numbers. It seems putting the papers in social networking sites can influence the citation rate. We recommend all scientists to be present at social networking sites to have better chance of visibility and also citation.

Do highly cited clinicians get more citations when being present at social networking sites?

PubMed Central

Ramezani-Pakpour-Langeroudi, Fatemeh; Okhovati, Maryam; Talebian, Ali

2018-01-01

BACKGROUND AND AIMS: The advent of social networking sites has facilitated the dissemination of scientific research. This article aims to investigate the presence of Iranian highly cited clinicians in social networking sites. MATERIALS AND METHODS: This is a scientometrics study. Essential Science Indicator (ESI) was searched for Iranian highly cited papers in clinical medicine during November–December 2015. Then, the authors of the papers were checked and a list of authors was obtained. In the second phase, the authors’ names were searched in the selected social networking sites (ResearchGate [RG], Academia, Mendeley, LinkedIn). The total citations and h-index in Scopus were also gathered. RESULTS: Fifty-five highly cited papers were retrieved. A total of 107 authors participated in writing these papers. RG was the most popular (64.5%) and LinkedIn and Academia were in 2nd and 3rd places. None of the authors of highly cited papers were subscribed to Mendeley. A positive direct relationship was observed between visibility at social networking sites with citation and h-index rate. A significant relationship was observed between the RG score, citations, reads indicators in RG, and citation numbers and there was a significant relationship between the number of document indicator in Academia and the citation numbers. CONCLUSION: It seems putting the papers in social networking sites can influence the citation rate. We recommend all scientists to be present at social networking sites to have better chance of visibility and also citation. PMID:29629379

DOE Office of Scientific and Technical Information (OSTI.GOV)

The Analysis of Search Results for the Clarification and Identification of Technology Emergence (AR-CITE) computer code examines a scientometric model that tracks the emergence of an identified technology from initial discovery (via original scientific and conference literature), through critical discoveries (via original scientific, conference literature and patents), transitioning through Technology Readiness Levels (TRLs) and ultimately on to commercial currency of citations, collaboration indicators, and on-line news patterns are identified. The combinations of four distinct and separate searchable on-line networked sources (i.e. scholarly publications and citation, world patents, news archives, and on-line mapping networks) are assembled to become one collective networkmore » (a dataset for analysis of relations). This established network becomes the basis from which to quickly analyze the temporal flow of activity (searchable events) for the subject domain to be clarified and identified.« less

Homophily in coauthorship networks of East European sociologists

NASA Astrophysics Data System (ADS)

Hâncean, Marian-Gabriel; Perc, Matjaž

2016-10-01

We study to what degree and how homophily and network properties affect individual citation counts of researchers in the sociology departments of three East European countries, namely Poland, Romania, and Slovenia. We built first-order personal coauthorship networks out of the Web of Science publication records. Each sociologist is assigned as a focal node or ego, while her coauthors are alters. We analyze the data using structural measurements methods, hierarchical regression models, and we make visualizations based on the clustered graph technique. For all three populations, our results indicate that the mean score of the citations of alters substantially predicts the citation counts of egos. In particular, citation similarity increases the chances for coauthorship ties. Evidence for the impact of network properties on the citation levels of egos is mixed. For Poland, normalized ego-betweenness shows a negative effect on citation counts, while network density displays a positive one. For Romania and Slovenia, network characteristics have only a minor impact. Even if the visual summarization of the personal networks uncovers a wide palette of coauthorship patterns, homophily appears to be pervasive. These results are relevant for domestic policy makers who aim to improve the aggregated research performance in East European countries.

Homophily in coauthorship networks of East European sociologists

PubMed Central

Hâncean, Marian-Gabriel; Perc, Matjaž

2016-01-01

We study to what degree and how homophily and network properties affect individual citation counts of researchers in the sociology departments of three East European countries, namely Poland, Romania, and Slovenia. We built first-order personal coauthorship networks out of the Web of Science publication records. Each sociologist is assigned as a focal node or ego, while her coauthors are alters. We analyze the data using structural measurements methods, hierarchical regression models, and we make visualizations based on the clustered graph technique. For all three populations, our results indicate that the mean score of the citations of alters substantially predicts the citation counts of egos. In particular, citation similarity increases the chances for coauthorship ties. Evidence for the impact of network properties on the citation levels of egos is mixed. For Poland, normalized ego-betweenness shows a negative effect on citation counts, while network density displays a positive one. For Romania and Slovenia, network characteristics have only a minor impact. Even if the visual summarization of the personal networks uncovers a wide palette of coauthorship patterns, homophily appears to be pervasive. These results are relevant for domestic policy makers who aim to improve the aggregated research performance in East European countries. PMID:27786271

Document co-citation analysis to enhance transdisciplinary research

PubMed Central

Trujillo, Caleb M.; Long, Tammy M.

2018-01-01

Specialized and emerging fields of research infrequently cross disciplinary boundaries and would benefit from frameworks, methods, and materials informed by other fields. Document co-citation analysis, a method developed by bibliometric research, is demonstrated as a way to help identify key literature for cross-disciplinary ideas. To illustrate the method in a useful context, we mapped peer-recognized scholarship related to systems thinking. In addition, three procedures for validation of co-citation networks are proposed and implemented. This method may be useful for strategically selecting information that can build consilience about ideas and constructs that are relevant across a range of disciplines. PMID:29308433

Modeling Citation Networks Based on Vigorousness and Dormancy

NASA Astrophysics Data System (ADS)

Wang, Xue-Wen; Zhang, Li-Jie; Yang, Guo-Hong; Xu, Xin-Jian

2013-08-01

In citation networks, the activity of papers usually decreases with age and dormant papers may be discovered and become fashionable again. To model this phenomenon, a competition mechanism is suggested which incorporates two factors: vigorousness and dormancy. Based on this idea, a citation network model is proposed, in which a node has two discrete stage: vigorous and dormant. Vigorous nodes can be deactivated and dormant nodes may be activated and become vigorous. The evolution of the network couples addition of new nodes and state transitions of old ones. Both analytical calculation and numerical simulation show that the degree distribution of nodes in generated networks displays a good right-skewed behavior. Particularly, scale-free networks are obtained as the deactivated vertex is target selected and exponential networks are realized for the random-selected case. Moreover, the measurement of four real-world citation networks achieves a good agreement with the stochastic model.

A Journal-Level Analysis of Progress in Transplantation.

PubMed

Feeley, Thomas; Lee, Seyoung; Moon, Shin-Il

2018-03-01

Citations to articles published in academic journals represent a proxy for influence in bibliometrics. To measure the journal impact factor for Progress in Transplantation over time and to also identify related journals indexed in transplantation and surgery. Data from Journal Citation Reports (ISI web of science) were used to rank Progress in Transplantation compared to peer journals using journal impact and journal relatedness measures. Social network analysis was used to measure relationships between pairs of journals in Progress in Transplantation's relatedness network. Journal impact factor and journal relatedness. Data from 2010 through 2015 indicate the average journal article in PIT was cited 0.87 times (standard deviation [SD] = 0.12) and this estimate was stable over time. Progress in Transplantation most often cited American Journal of Transplantation, Transplantation, American Journal of Kidney Diseases, and Liver Transplantation. In terms of cited data, the journal was most often referenced by Clinical Transplantation, Transplant International, and Current Opinion in Organ Transplantation. The journal is listed both in surgery and transplantation categories of Journal Citation Reports and its impact factors over time fare better with surgery journals than with transplant journals. Network data using betweenness centrality indicate Progress in Transplantation links transplantation-focused journals and journals indexed in health sciences categories.

Co-Authorship and Bibliographic Coupling Network Effects on Citations

PubMed Central

Biscaro, Claudio; Giupponi, Carlo

2014-01-01

This paper analyzes the effects of the co-authorship and bibliographic coupling networks on the citations received by scientific articles. It expands prior research that limited its focus on the position of co-authors and incorporates the effects of the use of knowledge sources within articles: references. By creating a network on the basis of shared references, we propose a way to understand whether an article bridges among extant strands of literature and infer the size of its research community and its embeddedness. Thus, we map onto the article – our unit of analysis – the metrics of authors' position in the co-authorship network and of the use of knowledge on which the scientific article is grounded. Specifically, we adopt centrality measures – degree, betweenneess, and closeness centrality – in the co-authorship network and degree, betweenness centrality and clustering coefficient in the bibliographic coupling and show their influence on the citations received in first two years after the year of publication. Findings show that authors' degree positively impacts citations. Also closeness centrality has a positive effect manifested only when the giant component is relevant. Author's betweenness centrality has instead a negative effect that persists until the giant component - largest component of the network in which all nodes can be linked by a path - is relevant. Moreover, articles that draw on fragmented strands of literature tend to be cited more, whereas the size of the scientific research community and the embeddedness of the article in a cohesive cluster of literature have no effect. PMID:24911416

PageRank as a method to rank biomedical literature by importance.

PubMed

Yates, Elliot J; Dixon, Louise C

2015-01-01

Optimal ranking of literature importance is vital in overcoming article overload. Existing ranking methods are typically based on raw citation counts, giving a sum of 'inbound' links with no consideration of citation importance. PageRank, an algorithm originally developed for ranking webpages at the search engine, Google, could potentially be adapted to bibliometrics to quantify the relative importance weightings of a citation network. This article seeks to validate such an approach on the freely available, PubMed Central open access subset (PMC-OAS) of biomedical literature. On-demand cloud computing infrastructure was used to extract a citation network from over 600,000 full-text PMC-OAS articles. PageRanks and citation counts were calculated for each node in this network. PageRank is highly correlated with citation count (R = 0.905, P < 0.01) and we thus validate the former as a surrogate of literature importance. Furthermore, the algorithm can be run in trivial time on cheap, commodity cluster hardware, lowering the barrier of entry for resource-limited open access organisations. PageRank can be trivially computed on commodity cluster hardware and is linearly correlated with citation count. Given its putative benefits in quantifying relative importance, we suggest it may enrich the citation network, thereby overcoming the existing inadequacy of citation counts alone. We thus suggest PageRank as a feasible supplement to, or replacement of, existing bibliometric ranking methods.

Inheritance Patterns in Citation Networks Reveal Scientific Memes

NASA Astrophysics Data System (ADS)

Kuhn, Tobias; Perc, Matjaž; Helbing, Dirk

2014-10-01

Memes are the cultural equivalent of genes that spread across human culture by means of imitation. What makes a meme and what distinguishes it from other forms of information, however, is still poorly understood. Our analysis of memes in the scientific literature reveals that they are governed by a surprisingly simple relationship between frequency of occurrence and the degree to which they propagate along the citation graph. We propose a simple formalization of this pattern and validate it with data from close to 50 million publication records from the Web of Science, PubMed Central, and the American Physical Society. Evaluations relying on human annotators, citation network randomizations, and comparisons with several alternative approaches confirm that our formula is accurate and effective, without a dependence on linguistic or ontological knowledge and without the application of arbitrary thresholds or filters.

[Bibliometric analysis of IBERPOC and EPI-SCAN studies. Contribution of the smoking variable on the iberpoc study].

PubMed

de Granda-Orive, J I; Alonso-Arroyo, A; López-Padilla, D; Segrelles-Calvo, G; Jiménez-Ruiz, C A; Solano-Reina, S

2018-03-01

The aim of this study was to perform a bibliometric analysis of EPI-SCAN and IBERPOC studies using the Science Citation Index and Scopus databases, and to determine the overall impact with the impact of smoking on IBERPOC as a secondary objective. A general searching was conducted in Science Citation Index-Expanded through the Web of Science (WoS) (Thomson Reuters) platform and Scopus on 23 March 2015. The search strategy included the terms "iberpoc" OR "episcan" was performed on 15 October 2015. A total of 24 publications were obtained; 13 from IBERPOC study (9 on "COPD" and 4 for "tobacco"), with 11 from the EPI-SCAN (All COPD) study. A total of 841 WoS citations were obtained (445 IBERPOC [99 of tobacco]), and 1,442 from Scopus (963 IBERPOC [144 tobacco]). The theme "tobacco" contributed with 22.24% and 14.95% of total citations in WoS and Scopus, respectively to the IBERPOC study. It was found that Scopus citations were newer, and a similar impact from both WoS studies was detected, although the IBERPOC impact was greater in Scopus. Collaborative networks of institutions and authors of both studies were identified. There is an important productivity and impact of both studies. Scopus citations are newer than those in WoS. The "tobacco" variable added IBERPOC impact and visibility. There was high density, accessibility, and cohesion in collaborative networks of both studies. Copyright © 2017 Sociedad Española de Médicos de Atención Primaria (SEMERGEN). Publicado por Elsevier España, S.L.U. All rights reserved.

Research and Practice Communications Between Oral Health Providers and Prenatal Health Providers: A Bibliometric Analysis.

PubMed

Skvoretz, John; Dyer, Karen; Daley, Ellen; Debate, Rita; Vamos, Cheryl; Kline, Nolan; Thompson, Erika

2016-08-01

Objectives We aimed to examine scholarly collaboration between oral health and prenatal providers. Oral disease is a silent epidemic with significant public health implications for pregnant women. Evidence linking poor oral health during pregnancy to adverse pregnancy and birth outcomes requires oral health and prenatal providers to communicate on the prevention, treatment and co-management matters pertaining to oral health issues among their pregnant patients. The need for inter-professional collaboration is highlighted by guidelines co-endorsed by the American College of Obstetricians and Gynecologists and the American Dental Association, stressing the importance of oral health care during pregnancy. Methods To assess if interdisciplinary communication occurs between oral health and prenatal disciplines, we conducted a network analysis of research on pregnancy-related periodontal disease. Results Social Network analysis allowed us to identify communication patterns between communities of oral health and prenatal professionals via scientific journals. Analysis of networks of citations linking journals in different fields reveals a core-periphery pattern dominated by oral health journals with some participation from medicine journals. However, an analysis of dyadic ties of citation reveals statistically significant "inbreeding" tendencies in the citation patterns: both medical and oral health journals tend to cite their own kind at greater-than-chance levels. Conclusions Despite evidence suggesting that professional collaboration benefits patients' overall health, findings from this research imply that little collaboration occurs between these two professional groups. More collaboration may be useful in addressing women's oral-systemic health concerns that result in adverse pregnancy outcomes.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Abercrombie, Robert K; Udoeyop, Akaninyene W; Schlicher, Bob G

This work examines a scientometric model that tracks the emergence of an identified technology from initial discovery (via original scientific and conference literature), through critical discoveries (via original scientific, conference literature and patents), transitioning through Technology Readiness Levels (TRLs) and ultimately on to commercial application. During the period of innovation and technology transfer, the impact of scholarly works, patents and on-line web news sources are identified. As trends develop, currency of citations, collaboration indicators, and on-line news patterns are identified. The combinations of four distinct and separate searchable on-line networked sources (i.e., scholarly publications and citation, patents, news archives, andmore » online mapping networks) are assembled to become one collective network (a dataset for analysis of relations). This established network becomes the basis from which to quickly analyze the temporal flow of activity (searchable events) for the example subject domain we investigated.« less

World citation and collaboration networks: uncovering the role of geography in science

PubMed Central

Pan, Raj Kumar; Kaski, Kimmo; Fortunato, Santo

2012-01-01

Modern information and communication technologies, especially the Internet, have diminished the role of spatial distances and territorial boundaries on the access and transmissibility of information. This has enabled scientists for closer collaboration and internationalization. Nevertheless, geography remains an important factor affecting the dynamics of science. Here we present a systematic analysis of citation and collaboration networks between cities and countries, by assigning papers to the geographic locations of their authors’ affiliations. The citation flows as well as the collaboration strengths between cities decrease with the distance between them and follow gravity laws. In addition, the total research impact of a country grows linearly with the amount of national funding for research & development. However, the average impact reveals a peculiar threshold effect: the scientific output of a country may reach an impact larger than the world average only if the country invests more than about 100,000 USD per researcher annually. PMID:23198092

World citation and collaboration networks: uncovering the role of geography in science

NASA Astrophysics Data System (ADS)

Pan, Raj Kumar; Kaski, Kimmo; Fortunato, Santo

2012-11-01

Modern information and communication technologies, especially the Internet, have diminished the role of spatial distances and territorial boundaries on the access and transmissibility of information. This has enabled scientists for closer collaboration and internationalization. Nevertheless, geography remains an important factor affecting the dynamics of science. Here we present a systematic analysis of citation and collaboration networks between cities and countries, by assigning papers to the geographic locations of their authors' affiliations. The citation flows as well as the collaboration strengths between cities decrease with the distance between them and follow gravity laws. In addition, the total research impact of a country grows linearly with the amount of national funding for research & development. However, the average impact reveals a peculiar threshold effect: the scientific output of a country may reach an impact larger than the world average only if the country invests more than about 100,000 USD per researcher annually.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Abercrombie, Robert K; Udoeyop, Akaninyene W

This work examines a scientometric model that tracks the emergence of an identified technology from initial discovery (via original scientific and conference literature), through critical discoveries (via original scientific, conference literature and patents), transitioning through Technology Readiness Levels (TRLs) and ultimately on to commercial application. During the period of innovation and technology transfer, the impact of scholarly works, patents and on-line web news sources are identified. As trends develop, currency of citations, collaboration indicators, and on-line news patterns are identified. The combinations of four distinct and separate searchable on-line networked sources (i.e., scholarly publications and citation, worldwide patents, news archives,more » and on-line mapping networks) are assembled to become one collective network (a dataset for analysis of relations). This established network becomes the basis from which to quickly analyze the temporal flow of activity (searchable events) for the example subject domain we investigated.« less

The Evolution of Your Success Lies at the Centre of Your Co-Authorship Network

PubMed Central

Servia-Rodríguez, Sandra; Noulas, Anastasios; Mascolo, Cecilia; Fernández-Vilas, Ana; Díaz-Redondo, Rebeca P.

2015-01-01

Collaboration among scholars and institutions is progressively becoming essential to the success of research grant procurement and to allow the emergence and evolution of scientific disciplines. Our work focuses on analysing if the volume of collaborations of one author together with the relevance of his collaborators is somewhat related to his research performance over time. In order to prove this relation we collected the temporal distributions of scholars’ publications and citations from the Google Scholar platform and the co-authorship network (of Computer Scientists) underlying the well-known DBLP bibliographic database. By the application of time series clustering, social network analysis and non-parametric statistics, we observe that scholars with similar publications (citations) patterns also tend to have a similar centrality in the co-authorship network. To our knowledge, this is the first work that considers success evolution with respect to co-authorship. PMID:25760732

Scientometric methods for identifying emerging technologies

DOEpatents

Abercrombie, Robert K; Schlicher, Bob G; Sheldon, Frederick T

2015-11-03

Provided is a method of generating a scientometric model that tracks the emergence of an identified technology from initial discovery (via original scientific and conference literature), through critical discoveries (via original scientific, conference literature and patents), transitioning through Technology Readiness Levels (TRLs) and ultimately on to commercial application. During the period of innovation and technology transfer, the impact of scholarly works, patents and on-line web news sources are identified. As trends develop, currency of citations, collaboration indicators, and on-line news patterns are identified. The combinations of four distinct and separate searchable on-line networked sources (i.e., scholarly publications and citation, worldwide patents, news archives, and on-line mapping networks) are assembled to become one collective network (a dataset for analysis of relations). This established network becomes the basis from which to quickly analyze the temporal flow of activity (searchable events) for the example subject domain.

Dynamic Network Logistic Regression: A Logistic Choice Analysis of Inter- and Intra-Group Blog Citation Dynamics in the 2004 US Presidential Election

PubMed Central

2013-01-01

Methods for analysis of network dynamics have seen great progress in the past decade. This article shows how Dynamic Network Logistic Regression techniques (a special case of the Temporal Exponential Random Graph Models) can be used to implement decision theoretic models for network dynamics in a panel data context. We also provide practical heuristics for model building and assessment. We illustrate the power of these techniques by applying them to a dynamic blog network sampled during the 2004 US presidential election cycle. This is a particularly interesting case because it marks the debut of Internet-based media such as blogs and social networking web sites as institutionally recognized features of the American political landscape. Using a longitudinal sample of all Democratic National Convention/Republican National Convention–designated blog citation networks, we are able to test the influence of various strategic, institutional, and balance-theoretic mechanisms as well as exogenous factors such as seasonality and political events on the propensity of blogs to cite one another over time. Using a combination of deviance-based model selection criteria and simulation-based model adequacy tests, we identify the combination of processes that best characterizes the choice behavior of the contending blogs. PMID:24143060

A Measure of Standing for Citation Networks within a Wider Environment.

ERIC Educational Resources Information Center

Doreian, Patrick

1994-01-01

Discusses the use of citation networks for constructing measures of the relative standing of journals in scientific journal-to-journal networks. Topics addressed include eigenvectors; measuring the standing of national scientific communities; and an empirical comparison of two measures of standing, one considering the environment and one without…

Topology and evolution of technology innovation networks

NASA Astrophysics Data System (ADS)

Valverde, Sergi; Solé, Ricard V.; Bedau, Mark A.; Packard, Norman

2007-11-01

The web of relations linking technological innovation can be fairly described in terms of patent citations. The resulting patent citation network provides a picture of the large-scale organization of innovations and its time evolution. Here we study the patterns of change of patents registered by the U.S. Patent and Trademark Office. We show that the scaling behavior exhibited by this network is consistent with a preferential attachment mechanism together with a Weibull-shaped aging term. Such an attachment kernel is shared by scientific citation networks, thus indicating a universal type of mechanism linking ideas and designs and their evolution. The implications for evolutionary theory of innovation are discussed.

The meta-analytic big bang.

PubMed

Shadish, William R; Lecy, Jesse D

2015-09-01

This article looks at the impact of meta-analysis and then explores why meta-analysis was developed at the time and by the scholars it did in the social sciences in the 1970s. For the first problem, impact, it examines the impact of meta-analysis using citation network analysis. The impact is seen in the sciences, arts and humanities, and on such contemporaneous developments as multilevel modeling, medical statistics, qualitative methods, program evaluation, and single-case design. Using a constrained snowball sample of citations, we highlight key articles that are either most highly cited or most central to the systematic review network. Then, the article examines why meta-analysis came to be in the 1970s in the social sciences through the work of Gene Glass, Robert Rosenthal, and Frank Schmidt, each of whom developed similar theories of meta-analysis at about the same time. The article ends by explaining how Simonton's chance configuration theory and Campbell's evolutionary epistemology can illuminate why meta-analysis occurred with these scholars when it did and not in medical sciences. Copyright © 2015 John Wiley & Sons, Ltd.

The health impact of trade and investment agreements: a quantitative systematic review and network co-citation analysis.

PubMed

Barlow, Pepita; McKee, Martin; Basu, Sanjay; Stuckler, David

2017-03-08

Regional trade agreements are major international policy instruments that shape macro-economic and political systems. There is widespread debate as to whether and how these agreements pose risks to public health. Here we perform a comprehensive systematic review of quantitative studies of the health impact of trade and investment agreements. We identified studies from searches in PubMed, Web of Science, EMBASE, and Global Health Online. Research articles were eligible for inclusion if they were quantitative studies of the health impacts of trade and investment agreements or policy. We systematically reviewed study findings, evaluated quality using the Quality Assessment Tool from the Effective Public Health Practice Project, and performed network citation analysis to study disciplinary siloes. Seventeen quantitative studies met our inclusion criteria. There was consistent evidence that implementing trade agreements was associated with increased consumption of processed foods and sugar-sweetened beverages. Granting import licenses for patented drugs was associated with increased access to pharmaceuticals. Implementing trade agreements and associated policies was also correlated with higher cardiovascular disease incidence and higher Body Mass Index (BMI), whilst correlations with tobacco consumption, under-five mortality, maternal mortality, and life expectancy were inconclusive. Overall, the quality of studies is weak or moderately weak, and co-citation analysis revealed a relative isolation of public health from economics. We identified limitations in existing studies which preclude definitive conclusions of the health impacts of regional trade and investment agreements. Few address unobserved confounding, and many possible consequences and mechanisms linking trade and investment agreements to health remain poorly understood. Results from our co-citation analysis suggest scope for greater interdisciplinary collaboration. Notwithstanding these limitations, our results find evidence that trade agreements pose some significant health risks. Health protections in trade and investment treaties may mitigate these impacts.

New Features in ADS Labs

NASA Astrophysics Data System (ADS)

Accomazzi, Alberto; Kurtz, M. J.; Henneken, E. A.; Grant, C. S.; Thompson, D.; Di Milia, G.; Luker, J.; Murray, S. S.

2013-01-01

The NASA Astrophysics Data System (ADS) has been working hard on updating its services and interfaces to better support our community's research needs. ADS Labs is a new interface built on the old tried-and-true ADS Abstract Databases, so all of ADS's content is available through it. In this presentation we highlight the new features that have been developed in ADS Labs over the last year: new recommendations, metrics, a citation tool and enhanced fulltext search. ADS Labs has long been providing article-level recommendations based on keyword similarity, co-readership and co-citation analysis of its corpus. We have now introduced personal recommendations, which provide a list of articles to be considered based on a individual user's readership history. A new metrics interface provides a summary of the basic impact indicators for a list of records. These include the total and normalized number of papers, citations, reads, and downloads. Also included are some of the popular indices such as the h, g and i10 index. The citation helper tool allows one to submit a set of records and obtain a list of top 10 papers which cite and/or are cited by papers in the original list (but which are not in it). The process closely resembles the network approach of establishing "friends of friends" via an analysis of the citation network. The full-text search service now covers more than 2.5 million documents, including all the major astronomy journals, as well as physics journals published by Springer, Elsevier, the American Physical Society, the American Geophysical Union, and all of the arXiv eprints. The full-text search interface interface allows users and librarians to dig deep and find words or phrases in the body of the indexed articles. ADS Labs is available at http://adslabs.org

Landscape of Research Areas for Zeolites and Metal-Organic Frameworks Using Computational Classification Based on Citation Networks.

PubMed

Ogawa, Takaya; Iyoki, Kenta; Fukushima, Tomohiro; Kajikawa, Yuya

2017-12-14

The field of porous materials is widely spreading nowadays, and researchers need to read tremendous numbers of papers to obtain a "bird's eye" view of a given research area. However, it is difficult for researchers to obtain an objective database based on statistical data without any relation to subjective knowledge related to individual research interests. Here, citation network analysis was applied for a comparative analysis of the research areas for zeolites and metal-organic frameworks as examples for porous materials. The statistical and objective data contributed to the analysis of: (1) the computational screening of research areas; (2) classification of research stages to a certain domain; (3) "well-cited" research areas; and (4) research area preferences of specific countries. Moreover, we proposed a methodology to assist researchers to gain potential research ideas by reviewing related research areas, which is based on the detection of unfocused ideas in one area but focused in the other area by a bibliometric approach.

Landscape of Research Areas for Zeolites and Metal-Organic Frameworks Using Computational Classification Based on Citation Networks

PubMed Central

Ogawa, Takaya; Fukushima, Tomohiro; Kajikawa, Yuya

2017-01-01

The field of porous materials is widely spreading nowadays, and researchers need to read tremendous numbers of papers to obtain a “bird’s eye” view of a given research area. However, it is difficult for researchers to obtain an objective database based on statistical data without any relation to subjective knowledge related to individual research interests. Here, citation network analysis was applied for a comparative analysis of the research areas for zeolites and metal-organic frameworks as examples for porous materials. The statistical and objective data contributed to the analysis of: (1) the computational screening of research areas; (2) classification of research stages to a certain domain; (3) “well-cited” research areas; and (4) research area preferences of specific countries. Moreover, we proposed a methodology to assist researchers to gain potential research ideas by reviewing related research areas, which is based on the detection of unfocused ideas in one area but focused in the other area by a bibliometric approach. PMID:29240708

Network Analysis of Publications on Topological Indices from the Web of Science.

PubMed

Bodlaj, Jernej; Batagelj, Vladimir

2014-08-01

In this paper we analyze a collection of bibliographic networks, constructed from the data from the Web of Science on works (papers, books, etc.) on the topic of topological indices and on relating scientific fields. We present the general outlook and more specific findings about authors, works and journals, subtopics and keywords and also important relations between them based on scientometric approaches like the strongest and main citation paths, the main themes on citation path based on keywords, results of co-authorship analysis in form of the most prominent islands of citing authors, groups of collaborating authors, two-mode cores of authors and works. We investigate the nature of citing of authors, important journals and citing of works between them, journals preferred by authors and expose hierarchy of similar collaborating authors, based on keywords they use. We perform temporal analysis on one important journal as well. We give a comprehensive scientometric insight into the field of topological indices. © 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Google matrix analysis of directed networks

NASA Astrophysics Data System (ADS)

Ermann, Leonardo; Frahm, Klaus M.; Shepelyansky, Dima L.

2015-10-01

In the past decade modern societies have developed enormous communication and social networks. Their classification and information retrieval processing has become a formidable task for the society. Because of the rapid growth of the World Wide Web, and social and communication networks, new mathematical methods have been invented to characterize the properties of these networks in a more detailed and precise way. Various search engines extensively use such methods. It is highly important to develop new tools to classify and rank a massive amount of network information in a way that is adapted to internal network structures and characteristics. This review describes the Google matrix analysis of directed complex networks demonstrating its efficiency using various examples including the World Wide Web, Wikipedia, software architectures, world trade, social and citation networks, brain neural networks, DNA sequences, and Ulam networks. The analytical and numerical matrix methods used in this analysis originate from the fields of Markov chains, quantum chaos, and random matrix theory.

A Principal Component Analysis of 39 Scientific Impact Measures

PubMed Central

Bollen, Johan; Van de Sompel, Herbert

2009-01-01

Background The impact of scientific publications has traditionally been expressed in terms of citation counts. However, scientific activity has moved online over the past decade. To better capture scientific impact in the digital era, a variety of new impact measures has been proposed on the basis of social network analysis and usage log data. Here we investigate how these new measures relate to each other, and how accurately and completely they express scientific impact. Methodology We performed a principal component analysis of the rankings produced by 39 existing and proposed measures of scholarly impact that were calculated on the basis of both citation and usage log data. Conclusions Our results indicate that the notion of scientific impact is a multi-dimensional construct that can not be adequately measured by any single indicator, although some measures are more suitable than others. The commonly used citation Impact Factor is not positioned at the core of this construct, but at its periphery, and should thus be used with caution. PMID:19562078

The Meta-Analytic Big Bang

ERIC Educational Resources Information Center

Shadish, William R.; Lecy, Jesse D.

2015-01-01

This article looks at the impact of meta-analysis and then explores why meta-analysis was developed at the time and by the scholars it did in the social sciences in the 1970s. For the first problem, impact, it examines the impact of meta-analysis using citation network analysis. The impact is seen in the sciences, arts and humanities, and on such…

Measuring scientific impact beyond academia: An assessment of existing impact metrics and proposed improvements.

PubMed

Ravenscroft, James; Liakata, Maria; Clare, Amanda; Duma, Daniel

2017-01-01

How does scientific research affect the world around us? Being able to answer this question is of great importance in order to appropriately channel efforts and resources in science. The impact by scientists in academia is currently measured by citation based metrics such as h-index, i-index and citation counts. These academic metrics aim to represent the dissemination of knowledge among scientists rather than the impact of the research on the wider world. In this work we are interested in measuring scientific impact beyond academia, on the economy, society, health and legislation (comprehensive impact). Indeed scientists are asked to demonstrate evidence of such comprehensive impact by authoring case studies in the context of the Research Excellence Framework (REF). We first investigate the extent to which existing citation based metrics can be indicative of comprehensive impact. We have collected all recent REF impact case studies from 2014 and we have linked these to papers in citation networks that we constructed and derived from CiteSeerX, arXiv and PubMed Central using a number of text processing and information retrieval techniques. We have demonstrated that existing citation-based metrics for impact measurement do not correlate well with REF impact results. We also consider metrics of online attention surrounding scientific works, such as those provided by the Altmetric API. We argue that in order to be able to evaluate wider non-academic impact we need to mine information from a much wider set of resources, including social media posts, press releases, news articles and political debates stemming from academic work. We also provide our data as a free and reusable collection for further analysis, including the PubMed citation network and the correspondence between REF case studies, grant applications and the academic literature.

Measuring scientific impact beyond academia: An assessment of existing impact metrics and proposed improvements

PubMed Central

Liakata, Maria; Clare, Amanda; Duma, Daniel

2017-01-01

How does scientific research affect the world around us? Being able to answer this question is of great importance in order to appropriately channel efforts and resources in science. The impact by scientists in academia is currently measured by citation based metrics such as h-index, i-index and citation counts. These academic metrics aim to represent the dissemination of knowledge among scientists rather than the impact of the research on the wider world. In this work we are interested in measuring scientific impact beyond academia, on the economy, society, health and legislation (comprehensive impact). Indeed scientists are asked to demonstrate evidence of such comprehensive impact by authoring case studies in the context of the Research Excellence Framework (REF). We first investigate the extent to which existing citation based metrics can be indicative of comprehensive impact. We have collected all recent REF impact case studies from 2014 and we have linked these to papers in citation networks that we constructed and derived from CiteSeerX, arXiv and PubMed Central using a number of text processing and information retrieval techniques. We have demonstrated that existing citation-based metrics for impact measurement do not correlate well with REF impact results. We also consider metrics of online attention surrounding scientific works, such as those provided by the Altmetric API. We argue that in order to be able to evaluate wider non-academic impact we need to mine information from a much wider set of resources, including social media posts, press releases, news articles and political debates stemming from academic work. We also provide our data as a free and reusable collection for further analysis, including the PubMed citation network and the correspondence between REF case studies, grant applications and the academic literature. PMID:28278243

Research and Development of Hepatitis B Drugs: An Analysis Based on Technology Flows Measured by Patent Citations

PubMed Central

Wan, Jian-bo; He, Chengwei; Hu, Yuanjia

2016-01-01

Despite the existence of available therapies, the Hepatitis B virus infection continues to be one of the most serious threats to human health, especially in developing countries such as China and India. To shed light on the improvement of current therapies and development of novel anti-HBV drugs, we thoroughly investigated 212 US patents of anti-HBV drugs and analyzed the technology flow in research and development of anti-HBV drugs based on data from IMS LifeCycle databases. Moreover, utilizing the patent citation method, which is an effective indicator of technology flow, we constructed patent citation network models and performed network analysis in order to reveal the features of different technology clusters. As a result, we identified the stagnant status of anti-HBV drug development and pointed the way for development of domestic pharmaceuticals in developing countries. We also discussed about therapeutic vaccines as the potential next generation therapy for HBV infection. Lastly, we depicted the cooperation between entities and found that novel forms of cooperation added diversity to the conventional form of cooperation within the pharmaceutical industry. In summary, our study provides inspiring insights for investors, policy makers, researchers, and other readers interested in anti-HBV drug development. PMID:27727319

PubNet: a flexible system for visualizing literature derived networks

PubMed Central

Douglas, Shawn M; Montelione, Gaetano T; Gerstein, Mark

2005-01-01

We have developed PubNet, a web-based tool that extracts several types of relationships returned by PubMed queries and maps them into networks, allowing for graphical visualization, textual navigation, and topological analysis. PubNet supports the creation of complex networks derived from the contents of individual citations, such as genes, proteins, Protein Data Bank (PDB) IDs, Medical Subject Headings (MeSH) terms, and authors. This feature allows one to, for example, examine a literature derived network of genes based on functional similarity. PMID:16168087

The Changing Functions of Citation: From Knowledge Networking to Academic Cash-Value

ERIC Educational Resources Information Center

Burbules, Nicholas C.

2015-01-01

This essay reviews the changing functions, and effects, of citation systems in scholarly research as they move from a range of uses primarily oriented around knowledge networking and epistemic validation, to their use as a set of metrics oriented around evaluating and rewarding certain kinds of academic performance (e.g. "impact…

Systems thinking in public health: a bibliographic contribution to a meta-narrative review.

PubMed

Chughtai, Saad; Blanchet, Karl

2017-05-01

Research across the formal, natural and social sciences has greatly expanded our knowledge about complex systems in recent decades, informing a broadly inclusive, cross-disciplinary conceptual framework referred to as Systems Thinking (ST). Its use in public health is rapidly increasing, although there remains a poor understanding of how these ideas have been imported, adapted and elaborated by public health research networks worldwide. This review employed a mixed methods approach to narrate the development of ST in public health. Tabulated results from a literature search of the Web of Science Core Collection database were used to perform a bibliometric analysis and literature review. Annual publication counts and citation scores were used to analyse trends and identify popular and potential 'landmark' publications. Citation network and co-authorship network diagrams were analysed to identify groups of articles and researchers in various network roles. Our search string related to 763 publications. Filtering excluded 208 publications while citation tracing identified 2 texts. The final 557 publications were analysed, revealing a near-exponential growth in literature over recent years. Half of all articles were published after 2010 with almost a fifth (17.8%) published in 2014. Bibliographic analysis identified five distinct citation and co-authorship groups homophilous by common geography, research focus, inspiration or institutional affiliation. As a loosely related set of sciences, many public health researchers have developed different aspects of ST based on their underlying perspective. Early studies were inspired by Management-related literature, while later groups adopted a broadly inclusive understanding which incorporated related Systems sciences and approaches. ST is an increasingly popular subject of discussion within public health although its understanding and approaches remain unclear. Briefly tracing the introduction and development of these ideas and author groups in public health literature may provide clarity and opportunities for further learning, research and development. © The Author 2017. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com

Discovering Implicit Entity Relation with the Gene-Citation-Gene Network

PubMed Central

Song, Min; Han, Nam-Gi; Kim, Yong-Hwan; Ding, Ying; Chambers, Tamy

2013-01-01

In this paper, we apply the entitymetrics model to our constructed Gene-Citation-Gene (GCG) network. Based on the premise there is a hidden, but plausible, relationship between an entity in one article and an entity in its citing article, we constructed a GCG network of gene pairs implicitly connected through citation. We compare the performance of this GCG network to a gene-gene (GG) network constructed over the same corpus but which uses gene pairs explicitly connected through traditional co-occurrence. Using 331,411 MEDLINE abstracts collected from 18,323 seed articles and their references, we identify 25 gene pairs. A comparison of these pairs with interactions found in BioGRID reveal that 96% of the gene pairs in the GCG network have known interactions. We measure network performance using degree, weighted degree, closeness, betweenness centrality and PageRank. Combining all measures, we find the GCG network has more gene pairs, but a lower matching rate than the GG network. However, combining top ranked genes in both networks produces a matching rate of 35.53%. By visualizing both the GG and GCG networks, we find that cancer is the most dominant disease associated with the genes in both networks. Overall, the study indicates that the GCG network can be useful for detecting gene interaction in an implicit manner. PMID:24358368

Recent Themes in Social Networking Service Research.

PubMed

Liu, John S; Ho, Mei Hsiu-Ching; Lu, Louis Y Y

2017-01-01

The body of literature addressing the phenomenon related to social networking services (SNSs) has grown rather fast recently. Through a systematic and quantitative approach, this study identifies the recent SNS research themes, which are the issues discussed by a coherent and growing subset of this literature. A set of academic articles retrieved from the Web of Science database is used as the basis for uncovering the recent themes. We begin the analysis by constructing a citation network which is further separated into groups after applying a widely used clustering method. The resulting clusters all consist of articles coherent in citation relationships. This study suggests eight fast growing recent themes. They span widely encompassing politics, romantic relationships, public relations, journalism, and health. Among them, four focus their issues largely on Twitter, three on Facebook, and one generally on both. While discussions on traditional issues in SNSs such as personality, motivations, self-disclosure, narcissism, etc. continue to lead the pack, the proliferation of the highlighted recent themes in the near future is very likely to happen.

Recent Themes in Social Networking Service Research

PubMed Central

Liu, John S.; Ho, Mei Hsiu-Ching; Lu, Louis Y. Y.

2017-01-01

The body of literature addressing the phenomenon related to social networking services (SNSs) has grown rather fast recently. Through a systematic and quantitative approach, this study identifies the recent SNS research themes, which are the issues discussed by a coherent and growing subset of this literature. A set of academic articles retrieved from the Web of Science database is used as the basis for uncovering the recent themes. We begin the analysis by constructing a citation network which is further separated into groups after applying a widely used clustering method. The resulting clusters all consist of articles coherent in citation relationships. This study suggests eight fast growing recent themes. They span widely encompassing politics, romantic relationships, public relations, journalism, and health. Among them, four focus their issues largely on Twitter, three on Facebook, and one generally on both. While discussions on traditional issues in SNSs such as personality, motivations, self-disclosure, narcissism, etc. continue to lead the pack, the proliferation of the highlighted recent themes in the near future is very likely to happen. PMID:28107541

Measuring science-technology interactions using patent citations and author-inventor links: an exploration analysis from Chinese nanotechnology

NASA Astrophysics Data System (ADS)

Wang, Gangbo; Guan, Jiancheng

2011-12-01

This article contributes to the growing study on the interactions between science and technology with China's evidence in the field of nanotechnology, based on the database of United States Patent and Trademark Office. The analysis is focused during the period of 1991-2008, a rapid increasing period for the development of nanotechnology. Using the non-patent references cited by patents, we first investigate the science-technology connections in the context of Chinese nanotechnology, especially in institutional sectors and its application fields. Those patents, produced by academic researchers and directed towards basic scientific knowledge, generally cite more scientific references with a higher proportion of self-citations. It is interesting to find that patents contributed by collaborations between public organizations and corporations seldom contain scientific references. Following an interesting path on matching the data of publications and patents, we establish the author-inventor links in this emerging field. Author-inventors, who are co-active in publishing and patenting, are at the very top of the most prolific and highly cited researchers. Finally, we employ social network analysis to explore the characteristics of scientific and technological networks generated by co-authorship and co-invention data, to investigate the position and the role of patenting-publishing scientists in these research networks.

Analysis of inter-country input-output table based on citation network: How to measure the competition and collaboration between industrial sectors on the global value chain

PubMed Central

2017-01-01

The input-output table is comprehensive and detailed in describing the national economic system with complex economic relationships, which embodies information of supply and demand among industrial sectors. This paper aims to scale the degree of competition/collaboration on the global value chain from the perspective of econophysics. Global Industrial Strongest Relevant Network models were established by extracting the strongest and most immediate industrial relevance in the global economic system with inter-country input-output tables and then transformed into Global Industrial Resource Competition Network/Global Industrial Production Collaboration Network models embodying the competitive/collaborative relationships based on bibliographic coupling/co-citation approach. Three indicators well suited for these two kinds of weighted and non-directed networks with self-loops were introduced, including unit weight for competitive/collaborative power, disparity in the weight for competitive/collaborative amplitude and weighted clustering coefficient for competitive/collaborative intensity. Finally, these models and indicators were further applied to empirically analyze the function of sectors in the latest World Input-Output Database, to reveal inter-sector competitive/collaborative status during the economic globalization. PMID:28873432

Analysis of inter-country input-output table based on citation network: How to measure the competition and collaboration between industrial sectors on the global value chain.

PubMed

Xing, Lizhi

2017-01-01

The input-output table is comprehensive and detailed in describing the national economic system with complex economic relationships, which embodies information of supply and demand among industrial sectors. This paper aims to scale the degree of competition/collaboration on the global value chain from the perspective of econophysics. Global Industrial Strongest Relevant Network models were established by extracting the strongest and most immediate industrial relevance in the global economic system with inter-country input-output tables and then transformed into Global Industrial Resource Competition Network/Global Industrial Production Collaboration Network models embodying the competitive/collaborative relationships based on bibliographic coupling/co-citation approach. Three indicators well suited for these two kinds of weighted and non-directed networks with self-loops were introduced, including unit weight for competitive/collaborative power, disparity in the weight for competitive/collaborative amplitude and weighted clustering coefficient for competitive/collaborative intensity. Finally, these models and indicators were further applied to empirically analyze the function of sectors in the latest World Input-Output Database, to reveal inter-sector competitive/collaborative status during the economic globalization.

Mapping longitudinal scientific progress, collaboration and impact of the Alzheimer's disease neuroimaging initiative.

PubMed

Yao, Xiaohui; Yan, Jingwen; Ginda, Michael; Börner, Katy; Saykin, Andrew J; Shen, Li

2017-01-01

Alzheimer's disease neuroimaging initiative (ADNI) is a landmark imaging and omics study in AD. ADNI research literature has increased substantially over the past decade, which poses challenges for effectively communicating information about the results and impact of ADNI-related studies. In this work, we employed advanced information visualization techniques to perform a comprehensive and systematic mapping of the ADNI scientific growth and impact over a period of 12 years. Citation information of ADNI-related publications from 01/01/2003 to 05/12/2015 were downloaded from the Scopus database. Five fields, including authors, years, affiliations, sources (journals), and keywords, were extracted and preprocessed. Statistical analyses were performed on basic publication data as well as journal and citations information. Science mapping workflows were conducted using the Science of Science (Sci2) Tool to generate geospatial, topical, and collaboration visualizations at the micro (individual) to macro (global) levels such as geospatial layouts of institutional collaboration networks, keyword co-occurrence networks, and author collaboration networks evolving over time. During the studied period, 996 ADNI manuscripts were published across 233 journals and conference proceedings. The number of publications grew linearly from 2008 to 2015, so did the number of involved institutions. ADNI publications received much more citations than typical papers from the same set of journals. Collaborations were visualized at multiple levels, including authors, institutions, and research areas. The evolution of key ADNI research topics was also plotted over the studied period. Both statistical and visualization results demonstrate the increasing attention of ADNI research, strong citation impact of ADNI publications, the expanding collaboration networks among researchers, institutions and ADNI core areas, and the dynamic evolution of ADNI research topics. The visualizations presented here can help improve daily decision making based on a deep understanding of existing patterns and trends using proven and replicable data analysis and visualization methods. They have great potential to provide new insights and actionable knowledge for helping translational research in AD.

Mapping longitudinal scientific progress, collaboration and impact of the Alzheimer’s disease neuroimaging initiative

PubMed Central

Yao, Xiaohui; Yan, Jingwen; Ginda, Michael; Börner, Katy; Saykin, Andrew J.

2017-01-01

Background Alzheimer’s disease neuroimaging initiative (ADNI) is a landmark imaging and omics study in AD. ADNI research literature has increased substantially over the past decade, which poses challenges for effectively communicating information about the results and impact of ADNI-related studies. In this work, we employed advanced information visualization techniques to perform a comprehensive and systematic mapping of the ADNI scientific growth and impact over a period of 12 years. Methods Citation information of ADNI-related publications from 01/01/2003 to 05/12/2015 were downloaded from the Scopus database. Five fields, including authors, years, affiliations, sources (journals), and keywords, were extracted and preprocessed. Statistical analyses were performed on basic publication data as well as journal and citations information. Science mapping workflows were conducted using the Science of Science (Sci2) Tool to generate geospatial, topical, and collaboration visualizations at the micro (individual) to macro (global) levels such as geospatial layouts of institutional collaboration networks, keyword co-occurrence networks, and author collaboration networks evolving over time. Results During the studied period, 996 ADNI manuscripts were published across 233 journals and conference proceedings. The number of publications grew linearly from 2008 to 2015, so did the number of involved institutions. ADNI publications received much more citations than typical papers from the same set of journals. Collaborations were visualized at multiple levels, including authors, institutions, and research areas. The evolution of key ADNI research topics was also plotted over the studied period. Conclusions Both statistical and visualization results demonstrate the increasing attention of ADNI research, strong citation impact of ADNI publications, the expanding collaboration networks among researchers, institutions and ADNI core areas, and the dynamic evolution of ADNI research topics. The visualizations presented here can help improve daily decision making based on a deep understanding of existing patterns and trends using proven and replicable data analysis and visualization methods. They have great potential to provide new insights and actionable knowledge for helping translational research in AD. PMID:29095836

Relative Influence of Professional Counseling Journals

ERIC Educational Resources Information Center

Fernando, Delini M.; Barrio Minton, Casey A.

2011-01-01

The authors used social network analysis of citation data to study the flow of information and relative influence of 17 professional counseling journals. Although the "Journal of Counseling & Development" ranked very highly in all measures of journal influence, several division journals emerged as key players in the flow of information within the…

Auto-correlation of journal impact factor for consensus research reporting statements: a cohort study.

PubMed

Shanahan, Daniel R

2016-01-01

Background. The Journal Citation Reports journal impact factors (JIFs) are widely used to rank and evaluate journals, standing as a proxy for the relative importance of a journal within its field. However, numerous criticisms have been made of use of a JIF to evaluate importance. This problem is exacerbated when the use of JIFs is extended to evaluate not only the journals, but the papers therein. The purpose of this study was therefore to investigate the relationship between the number of citations and journal IF for identical articles published simultaneously in multiple journals. Methods. Eligible articles were consensus research reporting statements listed on the EQUATOR Network website that were published simultaneously in three or more journals. The correlation between the citation count for each article and the median journal JIF over the published period, and between the citation count and number of article accesses was calculated for each reporting statement. Results. Nine research reporting statements were included in this analysis, representing 85 articles published across 58 journals in biomedicine. The number of citations was strongly correlated to the JIF for six of the nine reporting guidelines, with moderate correlation shown for the remaining three guidelines (median r = 0.66, 95% CI [0.45-0.90]). There was also a strong positive correlation between the number of citations and the number of article accesses (median r = 0.71, 95% CI [0.5-0.8]), although the number of data points for this analysis were limited. When adjusted for the individual reporting guidelines, each logarithm unit of JIF predicted a median increase of 0.8 logarithm units of citation counts (95% CI [-0.4-5.2]), and each logarithm unit of article accesses predicted a median increase of 0.1 logarithm units of citation counts (95% CI [-0.9-1.4]). This model explained 26% of the variance in citations (median adjusted r (2) = 0.26, range 0.18-1.0). Conclusion. The impact factor of the journal in which a reporting statement was published was shown to influence the number of citations that statement will gather over time. Similarly, the number of article accesses also influenced the number of citations, although to a lesser extent than the impact factor. This demonstrates that citation counts are not purely a reflection of scientific merit and the impact factor is, in fact, auto-correlated.

Network-based statistical comparison of citation topology of bibliographic databases

PubMed Central

Šubelj, Lovro; Fiala, Dalibor; Bajec, Marko

2014-01-01

Modern bibliographic databases provide the basis for scientific research and its evaluation. While their content and structure differ substantially, there exist only informal notions on their reliability. Here we compare the topological consistency of citation networks extracted from six popular bibliographic databases including Web of Science, CiteSeer and arXiv.org. The networks are assessed through a rich set of local and global graph statistics. We first reveal statistically significant inconsistencies between some of the databases with respect to individual statistics. For example, the introduced field bow-tie decomposition of DBLP Computer Science Bibliography substantially differs from the rest due to the coverage of the database, while the citation information within arXiv.org is the most exhaustive. Finally, we compare the databases over multiple graph statistics using the critical difference diagram. The citation topology of DBLP Computer Science Bibliography is the least consistent with the rest, while, not surprisingly, Web of Science is significantly more reliable from the perspective of consistency. This work can serve either as a reference for scholars in bibliometrics and scientometrics or a scientific evaluation guideline for governments and research agencies. PMID:25263231

The structure of mental health research: networks of influence among psychiatry and clinical psychology journals.

PubMed

Haslam, N; Lusher, D

2011-12-01

Psychiatry and clinical psychology are the two dominant disciplines in mental health research, but the structure of scientific influence and information flow within and between them has never been mapped. Citations among 96 of the highest impact psychiatry and clinical psychology journals were examined, based on 10 052 articles published in 2008. Network analysis explored patterns of influence between journal clusters. Psychiatry journals tended to have greater influence than clinical psychology journals, and their influence was asymmetrical: clinical psychology journals cited psychiatry journals at a much higher rate than the reverse. Eight journal clusters were found, most dominated by a single discipline. Their citation network revealed an influential central cluster of 'core psychiatry' journals that had close affinities with a 'psychopharmacology' cluster. A group of 'core clinical psychology' journals was linked to a 'behavior therapy' cluster but both were subordinate to psychiatry journals. Clinical psychology journals were less integrated than psychiatry journals, and 'health psychology/behavioral medicine' and 'neuropsychology' clusters were relatively peripheral to the network. Scientific publication in the mental health field is largely organized along disciplinary lines, and is to some degree hierarchical, with clinical psychology journals tending to be structurally subordinate to psychiatry journals.

Health policy and systems research collaboration pathways: lessons from a network science analysis.

PubMed

English, Krista M; Pourbohloul, Babak

2017-08-28

The 2004 Mexico Declaration, and subsequent World Health Assembly resolutions, proposed a concerted support for the global development of health policy and systems research (HPSR). This included coordination across partners and advocates for the field of HPSR to monitor the development of the field, while promoting decision-making power and implementing responsibilities in low- and middle-income countries (LMICs). We used a network science approach to examine the structural properties of the HPSR co-authorship network across country economic groups in the PubMed citation database from 1990 to 2015. This analysis summarises the evolution of the publication, co-authorship and citation networks within HPSR. This method allows identification of several features otherwise not apparent. The co-authorship network has evolved steadily from 1990 to 2015 in terms of number of publications, but more importantly, in terms of co-authorship network connectedness. Our analysis suggests that, despite growth in the contribution from low-income countries to HPSR literature, co-authorship remains highly localised. Lower middle-income countries have made progress toward global connectivity through diversified collaboration with various institutions and regions. Global connectivity of the upper middle-income countries (UpperMICs) are almost on par with high-income countries (HICs), indicating the transition of this group of countries toward becoming major contributors to the field. Network analysis allows examination of the connectedness among the HSPR community. Initially (early 1990s), research groups operated almost exclusively independently and, despite the topic being specifically on health policy in LMICs, HICs provided lead authorship. Since the early 1990s, the network has evolved significantly. In the full set analysis (1990-2015), for the first time in HPSR history, more than half of the authors are connected and lead authorship from UpperMICs is on par with that of HICs. This demonstrates the shift in participation and influence toward regions which HPSR primarily serves. Understanding these interactions can highlight the current strengths and future opportunities for identifying new strategies to enhance collaboration and support capacity-building efforts for HPSR.

[Informational analysis of global health equity studies based on database of Web of Science].

PubMed

Zhao, Bo; Cui, Lei; Guo, Yan

2011-06-18

To present the history of global health equity studies and provide reference for the selection of topics of China's health equity study. In this article citations on the subject of health equity from Web of Science (WOS) were analyzed and 60 papers concerned which were cited more than 30 times selected. Through the co-citation cluster analysis combined with the content analysis of the highly-cited papers, this article attempted to cluster them into several significant categories. Then we analyzed their strategic importance in the field of health equity by drawing citation strategic diagrams. Six hot topics in health equity studies were as follows: health service equity, the relationship between health service demand and utilization; definitions of health equity; socioeconomic status and mortality, income distribution and health, and the measurement of health inequity. Income distribution and health was the biggest concern and the measurement of health inequity was of the greatest novelty. Conducting empirical analyses on the effect of social determinants (including socioeconomic status, social network and psychosocial status etc.) on health by means of health equity measurements marks the development trend of health equity study.

Measuring co-authorship and networking-adjusted scientific impact.

PubMed

Ioannidis, John P A

2008-07-23

Appraisal of the scientific impact of researchers, teams and institutions with productivity and citation metrics has major repercussions. Funding and promotion of individuals and survival of teams and institutions depend on publications and citations. In this competitive environment, the number of authors per paper is increasing and apparently some co-authors don't satisfy authorship criteria. Listing of individual contributions is still sporadic and also open to manipulation. Metrics are needed to measure the networking intensity for a single scientist or group of scientists accounting for patterns of co-authorship. Here, I define I(1) for a single scientist as the number of authors who appear in at least I(1) papers of the specific scientist. For a group of scientists or institution, I(n) is defined as the number of authors who appear in at least I(n) papers that bear the affiliation of the group or institution. I(1) depends on the number of papers authored N(p). The power exponent R of the relationship between I(1) and N(p) categorizes scientists as solitary (R>2.5), nuclear (R = 2.25-2.5), networked (R = 2-2.25), extensively networked (R = 1.75-2) or collaborators (R<1.75). R may be used to adjust for co-authorship networking the citation impact of a scientist. I(n) similarly provides a simple measure of the effective networking size to adjust the citation impact of groups or institutions. Empirical data are provided for single scientists and institutions for the proposed metrics. Cautious adoption of adjustments for co-authorship and networking in scientific appraisals may offer incentives for more accountable co-authorship behaviour in published articles.

Advanced Satellite Research Project: SCAR Research Database. Bibliographic analysis

NASA Technical Reports Server (NTRS)

Pelton, Joseph N.

1991-01-01

The literature search was provided to locate and analyze the most recent literature that was relevant to the research. This was done by cross-relating books, articles, monographs, and journals that relate to the following topics: (1) Experimental Systems - Advanced Communications Technology Satellite (ACTS), and (2) Integrated System Digital Network (ISDN) and Advance Communication Techniques (ISDN and satellites, ISDN standards, broadband ISDN, flame relay and switching, computer networks and satellites, satellite orbits and technology, satellite transmission quality, and network configuration). Bibliographic essay on literature citations and articles reviewed during the literature search task is provided.

An Examination of Articles Published on Preschool Education in Turkey

ERIC Educational Resources Information Center

Yilmaz, Kursad; Altinkurt, Yahya

2012-01-01

This study aims to examine articles published in Turkey on Preschool Education both in terms of subject and method. Sample of the study based on document analysis in qualitative method consists of seven Turkey-based journals indexed in SSCI (Social Science Citation Index) and 10 journals indexed in Turkish Academic Network and Information Center…

Asymmetric GT of social networks

NASA Astrophysics Data System (ADS)

Szu, Harold

2010-04-01

Web citation indexes are computed according to a data vector X collected from the frequency of user accesses, citations weighted by other sites' popularities, and modified by the financial sponsorship in a proprietary manner. The indexing determining the information to be retrieved by the public should be made responsible transparently in at least two ways. One shall balance the inbound linkages pointed at the specific i-th site called the popularity (see paper for equation) with the outbound linkages (see paper for equation) called the risk factor before the release of new information as environmental impact analysis. The relationship between these two factors cannot be assumed equivalent (undirected) as in the case of many mainstream Graph Theory (GT) models.

Social network analysis of Iranian researchers in the field of violence.

PubMed

Salamati, Payman; Soheili, Faramarz

2016-10-01

The social network analysis (SNA) is a paradigm for analyzing structural patterns in social re- lations, testing knowledge sharing process and identifying bottlenecks of information flow. The purpose of this study was to determine the status of research in the fleld of violence in Iran using SNA. Research population included all the papers with at least one Iranian affiliation published in violence fleld indexed in SCIE, PubMed and Scopus databases. The co-word maps, co-authorship network and structural holes were drawn using related software. In the next step, the active authors and some measures of our network including degree centrality (DC), closeness, eigenvector, betweeness, density, diameter, compactness and size of the main component were assessed. Likewise, the trend of the published articles was evaluated based on the number of documents and their citations from 1972 to 2014. Five hundred and seventy one records were obtained. The five main clusters and hot spots were mental health, violence, war, psychiatric disorders and suicide. The co-authorship network was complex, tangled and scale free. The top nine authors with cut point role and top ten active authors were identified. The mean (standard deviation) of normalized DC, closeness, eigenvector and betweeness were 0.449 (0.805), 0.609 (0.214), 2.373 (7.353) and 0.338 (1.122), respectively. The density, diameter and mean compactness of our co-authorship network were 0.0494, 3.955 and 0.125, respectively. The main component consisted of 216 nodes that formed 17% of total size of the network. Both the number of the documents and their citations has increased in the field of violence in the recent years. Although the number of the documents has recently increased in the field of violence, the information flow is slow and there are not many relations among the authors in the network. However, the active authors have ability to influence the flow of knowledge within the network.

A Unified Framework for Complex Networks with Degree Trichotomy Based on Markov Chains.

PubMed

Hui, David Shui Wing; Chen, Yi-Chao; Zhang, Gong; Wu, Weijie; Chen, Guanrong; Lui, John C S; Li, Yingtao

2017-06-16

This paper establishes a Markov chain model as a unified framework for describing the evolution processes in complex networks. The unique feature of the proposed model is its capability in addressing the formation mechanism that can reflect the "trichotomy" observed in degree distributions, based on which closed-form solutions can be derived. Important special cases of the proposed unified framework are those classical models, including Poisson, Exponential, Power-law distributed networks. Both simulation and experimental results demonstrate a good match of the proposed model with real datasets, showing its superiority over the classical models. Implications of the model to various applications including citation analysis, online social networks, and vehicular networks design, are also discussed in the paper.

Research progress and hotspot analysis of spatial interpolation

NASA Astrophysics Data System (ADS)

Jia, Li-juan; Zheng, Xin-qi; Miao, Jin-li

2018-02-01

In this paper, the literatures related to spatial interpolation between 1982 and 2017, which are included in the Web of Science core database, are used as data sources, and the visualization analysis is carried out according to the co-country network, co-category network, co-citation network, keywords co-occurrence network. It is found that spatial interpolation has experienced three stages: slow development, steady development and rapid development; The cross effect between 11 clustering groups, the main convergence of spatial interpolation theory research, the practical application and case study of spatial interpolation and research on the accuracy and efficiency of spatial interpolation. Finding the optimal spatial interpolation is the frontier and hot spot of the research. Spatial interpolation research has formed a theoretical basis and research system framework, interdisciplinary strong, is widely used in various fields.

Exploring the relationship between the engineering and physical sciences and the health and life sciences by advanced bibliometric methods.

PubMed

Waltman, Ludo; van Raan, Anthony F J; Smart, Sue

2014-01-01

We investigate the extent to which advances in the health and life sciences (HLS) are dependent on research in the engineering and physical sciences (EPS), particularly physics, chemistry, mathematics, and engineering. The analysis combines two different bibliometric approaches. The first approach to analyze the 'EPS-HLS interface' is based on term map visualizations of HLS research fields. We consider 16 clinical fields and five life science fields. On the basis of expert judgment, EPS research in these fields is studied by identifying EPS-related terms in the term maps. In the second approach, a large-scale citation-based network analysis is applied to publications from all fields of science. We work with about 22,000 clusters of publications, each representing a topic in the scientific literature. Citation relations are used to identify topics at the EPS-HLS interface. The two approaches complement each other. The advantages of working with textual data compensate for the limitations of working with citation relations and the other way around. An important advantage of working with textual data is in the in-depth qualitative insights it provides. Working with citation relations, on the other hand, yields many relevant quantitative statistics. We find that EPS research contributes to HLS developments mainly in the following five ways: new materials and their properties; chemical methods for analysis and molecular synthesis; imaging of parts of the body as well as of biomaterial surfaces; medical engineering mainly related to imaging, radiation therapy, signal processing technology, and other medical instrumentation; mathematical and statistical methods for data analysis. In our analysis, about 10% of all EPS and HLS publications are classified as being at the EPS-HLS interface. This percentage has remained more or less constant during the past decade.

Exploring the Relationship between the Engineering and Physical Sciences and the Health and Life Sciences by Advanced Bibliometric Methods

PubMed Central

Waltman, Ludo; van Raan, Anthony F. J.; Smart, Sue

2014-01-01

We investigate the extent to which advances in the health and life sciences (HLS) are dependent on research in the engineering and physical sciences (EPS), particularly physics, chemistry, mathematics, and engineering. The analysis combines two different bibliometric approaches. The first approach to analyze the ‘EPS-HLS interface’ is based on term map visualizations of HLS research fields. We consider 16 clinical fields and five life science fields. On the basis of expert judgment, EPS research in these fields is studied by identifying EPS-related terms in the term maps. In the second approach, a large-scale citation-based network analysis is applied to publications from all fields of science. We work with about 22,000 clusters of publications, each representing a topic in the scientific literature. Citation relations are used to identify topics at the EPS-HLS interface. The two approaches complement each other. The advantages of working with textual data compensate for the limitations of working with citation relations and the other way around. An important advantage of working with textual data is in the in-depth qualitative insights it provides. Working with citation relations, on the other hand, yields many relevant quantitative statistics. We find that EPS research contributes to HLS developments mainly in the following five ways: new materials and their properties; chemical methods for analysis and molecular synthesis; imaging of parts of the body as well as of biomaterial surfaces; medical engineering mainly related to imaging, radiation therapy, signal processing technology, and other medical instrumentation; mathematical and statistical methods for data analysis. In our analysis, about 10% of all EPS and HLS publications are classified as being at the EPS-HLS interface. This percentage has remained more or less constant during the past decade. PMID:25360616

Network analysis of surgical innovation: Measuring value and the virality of diffusion in robotic surgery.

PubMed

Garas, George; Cingolani, Isabella; Panzarasa, Pietro; Darzi, Ara; Athanasiou, Thanos

2017-01-01

Existing surgical innovation frameworks suffer from a unifying limitation, their qualitative nature. A rigorous approach to measuring surgical innovation is needed that extends beyond detecting simply publication, citation, and patent counts and instead uncovers an implementation-based value from the structure of the entire adoption cascades produced over time by diffusion processes. Based on the principles of evidence-based medicine and existing surgical regulatory frameworks, the surgical innovation funnel is described. This illustrates the different stages through which innovation in surgery typically progresses. The aim is to propose a novel and quantitative network-based framework that will permit modeling and visualizing innovation diffusion cascades in surgery and measuring virality and value of innovations. Network analysis of constructed citation networks of all articles concerned with robotic surgery (n = 13,240, Scopus®) was performed (1974-2014). The virality of each cascade was measured as was innovation value (measured by the innovation index) derived from the evidence-based stage occupied by the corresponding seed article in the surgical innovation funnel. The network-based surgical innovation metrics were also validated against real world big data (National Inpatient Sample-NIS®). Rankings of surgical innovation across specialties by cascade size and structural virality (structural depth and width) were found to correlate closely with the ranking by innovation value (Spearman's rank correlation coefficient = 0.758 (p = 0.01), 0.782 (p = 0.008), 0.624 (p = 0.05), respectively) which in turn matches the ranking based on real world big data from the NIS® (Spearman's coefficient = 0.673;p = 0.033). Network analysis offers unique new opportunities for understanding, modeling and measuring surgical innovation, and ultimately for assessing and comparing generative value between different specialties. The novel surgical innovation metrics developed may prove valuable especially in guiding policy makers, funding bodies, surgeons, and healthcare providers in the current climate of competing national priorities for investment.

Network analysis of surgical innovation: Measuring value and the virality of diffusion in robotic surgery

PubMed Central

Cingolani, Isabella; Panzarasa, Pietro; Darzi, Ara; Athanasiou, Thanos

2017-01-01

Background Existing surgical innovation frameworks suffer from a unifying limitation, their qualitative nature. A rigorous approach to measuring surgical innovation is needed that extends beyond detecting simply publication, citation, and patent counts and instead uncovers an implementation-based value from the structure of the entire adoption cascades produced over time by diffusion processes. Based on the principles of evidence-based medicine and existing surgical regulatory frameworks, the surgical innovation funnel is described. This illustrates the different stages through which innovation in surgery typically progresses. The aim is to propose a novel and quantitative network-based framework that will permit modeling and visualizing innovation diffusion cascades in surgery and measuring virality and value of innovations. Materials and methods Network analysis of constructed citation networks of all articles concerned with robotic surgery (n = 13,240, Scopus®) was performed (1974–2014). The virality of each cascade was measured as was innovation value (measured by the innovation index) derived from the evidence-based stage occupied by the corresponding seed article in the surgical innovation funnel. The network-based surgical innovation metrics were also validated against real world big data (National Inpatient Sample–NIS®). Results Rankings of surgical innovation across specialties by cascade size and structural virality (structural depth and width) were found to correlate closely with the ranking by innovation value (Spearman’s rank correlation coefficient = 0.758 (p = 0.01), 0.782 (p = 0.008), 0.624 (p = 0.05), respectively) which in turn matches the ranking based on real world big data from the NIS® (Spearman’s coefficient = 0.673;p = 0.033). Conclusion Network analysis offers unique new opportunities for understanding, modeling and measuring surgical innovation, and ultimately for assessing and comparing generative value between different specialties. The novel surgical innovation metrics developed may prove valuable especially in guiding policy makers, funding bodies, surgeons, and healthcare providers in the current climate of competing national priorities for investment. PMID:28841648

Predicting the future trend of popularity by network diffusion.

PubMed

Zeng, An; Yeung, Chi Ho

2016-06-01

Conventional approaches to predict the future popularity of products are mainly based on extrapolation of their current popularity, which overlooks the hidden microscopic information under the macroscopic trend. Here, we study diffusion processes on consumer-product and citation networks to exploit the hidden microscopic information and connect consumers to their potential purchase, publications to their potential citers to obtain a prediction for future item popularity. By using the data obtained from the largest online retailers including Netflix and Amazon as well as the American Physical Society citation networks, we found that our method outperforms the accurate short-term extrapolation and identifies the potentially popular items long before they become prominent.

Predicting the future trend of popularity by network diffusion

NASA Astrophysics Data System (ADS)

Zeng, An; Yeung, Chi Ho

2016-06-01

Conventional approaches to predict the future popularity of products are mainly based on extrapolation of their current popularity, which overlooks the hidden microscopic information under the macroscopic trend. Here, we study diffusion processes on consumer-product and citation networks to exploit the hidden microscopic information and connect consumers to their potential purchase, publications to their potential citers to obtain a prediction for future item popularity. By using the data obtained from the largest online retailers including Netflix and Amazon as well as the American Physical Society citation networks, we found that our method outperforms the accurate short-term extrapolation and identifies the potentially popular items long before they become prominent.

Citation Analysis and Discourse Analysis Revisited

ERIC Educational Resources Information Center

White, Howard D.

2004-01-01

John Swales's 1986 article "Citation analysis and discourse analysis" was written by a discourse analyst to introduce citation research from other fields, mainly sociology of science, to his own discipline. Here, I introduce applied linguists and discourse analysts to citation studies from information science, a complementary tradition not…

Citation Patterns in the Computer-Based Instruction Literature.

ERIC Educational Resources Information Center

Wedman, John F.

1987-01-01

This study examined indirect communication patterns among professionals in the computer-based instruction field by analyzing citations from the Journal of Computer-Based Instruction. The patterns found provide the basis for identifying invisible colleges, defined here as communication networks that facilitate the diffusion of knowledge and direct…

Scientific collaboration and endorsement: Network analysis of coauthorship and citation networks

PubMed Central

Ding, Ying

2010-01-01

Scientific collaboration and endorsement are well-established research topics which utilize three kinds of methods: survey/questionnaire, bibliometrics, and complex network analysis. This paper combines topic modeling and path-finding algorithms to determine whether productive authors tend to collaborate with or cite researchers with the same or different interests, and whether highly cited authors tend to collaborate with or cite each other. Taking information retrieval as a test field, the results show that productive authors tend to directly coauthor with and closely cite colleagues sharing the same research interests; they do not generally collaborate directly with colleagues having different research topics, but instead directly or indirectly cite them; and highly cited authors do not generally coauthor with each other, but closely cite each other. PMID:21344057

The divided communities of shared concerns: mapping the intellectual structure of e-Health research in social science journals.

PubMed

Jiang, L Crystal; Wang, Zhen-Zhen; Peng, Tai-Quan; Zhu, Jonathan J H

2015-01-01

Social scientific approach has become an important approach in e-Health studies over the past decade. However, there has been little systematical examination of what aspects of e-Health social scientists have studied and how relevant and informative knowledge has been produced and diffused by this line of inquiry. This study performed a systematic review of the body of e-Health literature in mainstream social science journals over the past decade by testing the applicability of a 5A categorization (i.e., access, availability, appropriateness, acceptability, and applicability), proposed by the U.S. Department of Health and Human Services, as a framework for understanding social scientific research in e-Health. This study used a quantitative, bottom-up approach to review the e-Health literature in social sciences published from 2000 to 2009. A total of 3005 e-Health studies identified from two social sciences databases (i.e., Social Sciences Citation Index and Arts & Humanities Citation Index) were analyzed with text topic modeling and structural analysis of co-word network, co-citation network, and scientific food web. There have been dramatic increases in the scale of e-Health studies in social sciences over the past decade in terms of the numbers of publications, journal outlets and participating disciplines. The results empirically confirm the presence of the 5A clusters in e-Health research, with the cluster of applicability as the dominant research area and the cluster of availability as the major knowledge producer for other clusters. The network analysis also reveals that the five distinctive clusters share much more in common in research concerns than what e-Health scholars appear to recognize. It is time to explicate and, more importantly, tap into the shared concerns cutting across the seemingly divided scholarly communities. In particular, more synergy exercises are needed to promote adherence of the field. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Applications of Social Network Analysis

NASA Astrophysics Data System (ADS)

Thilagam, P. Santhi

A social network [2] is a description of the social structure between actors, mostly persons, groups or organizations. It indicates the ways in which they are connected with each other by some relationship such as friendship, kinship, finance exchange etc. In a nutshell, when the person uses already known/unknown people to create new contacts, it forms social networking. The social network is not a new concept rather it can be formed when similar people interact with each other directly or indirectly to perform particular task. Examples of social networks include a friendship networks, collaboration networks, co-authorship networks, and co-employees networks which depict the direct interaction among the people. There are also other forms of social networks, such as entertainment networks, business Networks, citation networks, and hyperlink networks, in which interaction among the people is indirect. Generally, social networks operate on many levels, from families up to the level of nations and assists in improving interactive knowledge sharing, interoperability and collaboration.

Citation analysis of faculty publication: beyond Science Citation Index and Social Science Citation Index.

PubMed Central

Reed, K L

1995-01-01

When evaluated for promotion or tenure, faculty members are increasingly judged more on the quality than on the quantity of their scholarly publications. As a result, they want help from librarians in locating all citations to their published works for documentation in their curriculum vitae. Citation analysis using Science Citation Index and Social Science Citation Index provides a logical starting point in measuring quality, but the limitations of these sources leave a void in coverage of citations to an author's work. This article discusses alternative and additional methods of locating citations to published works. PMID:8547915

Citation analysis of faculty publication: beyond Science Citation Index and Social Science Citation Index.

PubMed

Reed, K L

1995-10-01

When evaluated for promotion or tenure, faculty members are increasingly judged more on the quality than on the quantity of their scholarly publications. As a result, they want help from librarians in locating all citations to their published works for documentation in their curriculum vitae. Citation analysis using Science Citation Index and Social Science Citation Index provides a logical starting point in measuring quality, but the limitations of these sources leave a void in coverage of citations to an author's work. This article discusses alternative and additional methods of locating citations to published works.

Bibliometric analysis of the top-cited articles on islet transplantation

PubMed Central

Pu, Qiang-Hong; Lyu, Qiu-Ju; Liu, Huan; Fan, Kai-Hua

2017-01-01

Abstract Aims: To identify and characterize the top-cited articles in the field of islet transplantation. Methods: We used the Science Citation Index Expanded database to identify the most frequently cited articles published after 1900. Articles were evaluated using the following characteristics: citation number, publication year, study design, references, country and institution of origin, authorship, and journal. Keyword analysis and citation networks were used to analyze research trends. Results: The most frequently cited articles received between 146 and 2988 citations; the median was 291. All of the most frequently cited articles were published between 1972 and 2012, and 85 articles were published after 1990. The most popular study design involved basic science (75 articles). The leading countries were the United States (US) and Canada, and the leading institutions were the University of Alberta, Canada, and the University of Minnesota, in the US. Journals specializing in diabetes or transplantation published more than half of the articles (n = 53, 52%), with the journal Diabetes publishing the largest number (n = 30). No association was found between a journal's impact factor and the number of top-cited articles it published. There was no correlation between the number of citations and the number of years since publication, authors, participating institutions, or countries involved. Top-cited articles focused on 2 themes: the use of antirejection immunotherapy or biocompatible encapsulations to prolong graft survival, and assessments of the efficacy of islet transplants, in particular, islet allografts. Conclusions: Our study can help researchers to identify and decipher the characteristics of top-cited articles in the field of islet transplantation. Just as clinically successful allografts are carried out using the Edmonton protocol, autografts and xenografts should be similarly strengthened to solve problems relating to immune rejection and islet sources, respectively. PMID:29095254

Bibliometric analysis of the top-cited articles on islet transplantation.

PubMed

Pu, Qiang-Hong; Lyu, Qiu-Ju; Liu, Huan; Fan, Kai-Hua

2017-11-01

To identify and characterize the top-cited articles in the field of islet transplantation. We used the Science Citation Index Expanded database to identify the most frequently cited articles published after 1900. Articles were evaluated using the following characteristics: citation number, publication year, study design, references, country and institution of origin, authorship, and journal. Keyword analysis and citation networks were used to analyze research trends. The most frequently cited articles received between 146 and 2988 citations; the median was 291. All of the most frequently cited articles were published between 1972 and 2012, and 85 articles were published after 1990. The most popular study design involved basic science (75 articles). The leading countries were the United States (US) and Canada, and the leading institutions were the University of Alberta, Canada, and the University of Minnesota, in the US. Journals specializing in diabetes or transplantation published more than half of the articles (n = 53, 52%), with the journal Diabetes publishing the largest number (n = 30). No association was found between a journal's impact factor and the number of top-cited articles it published. There was no correlation between the number of citations and the number of years since publication, authors, participating institutions, or countries involved. Top-cited articles focused on 2 themes: the use of antirejection immunotherapy or biocompatible encapsulations to prolong graft survival, and assessments of the efficacy of islet transplants, in particular, islet allografts. Our study can help researchers to identify and decipher the characteristics of top-cited articles in the field of islet transplantation. Just as clinically successful allografts are carried out using the Edmonton protocol, autografts and xenografts should be similarly strengthened to solve problems relating to immune rejection and islet sources, respectively.

Mining a Web Citation Database for Author Co-Citation Analysis.

ERIC Educational Resources Information Center

He, Yulan; Hui, Siu Cheung

2002-01-01

Proposes a mining process to automate author co-citation analysis based on the Web Citation Database, a data warehouse for storing citation indices of Web publications. Describes the use of agglomerative hierarchical clustering for author clustering and multidimensional scaling for displaying author cluster maps, and explains PubSearch, a…

The simultaneous evolution of author and paper networks

PubMed Central

Börner, Katy; Maru, Jeegar T.; Goldstone, Robert L.

2004-01-01

There has been a long history of research into the structure and evolution of mankind's scientific endeavor. However, recent progress in applying the tools of science to understand science itself has been unprecedented because only recently has there been access to high-volume and high-quality data sets of scientific output (e.g., publications, patents, grants) and computers and algorithms capable of handling this enormous stream of data. This article reviews major work on models that aim to capture and recreate the structure and dynamics of scientific evolution. We then introduce a general process model that simultaneously grows coauthor and paper citation networks. The statistical and dynamic properties of the networks generated by this model are validated against a 20-year data set of articles published in PNAS. Systematic deviations from a power law distribution of citations to papers are well fit by a model that incorporates a partitioning of authors and papers into topics, a bias for authors to cite recent papers, and a tendency for authors to cite papers cited by papers that they have read. In this TARL model (for topics, aging, and recursive linking), the number of topics is linearly related to the clustering coefficient of the simulated paper citation network. PMID:14976254

Citation analysis of Canadian psycho-oncology and supportive care researchers.

PubMed

Hack, Thomas F; Crooks, Dauna; Plohman, James; Kepron, Emma

2014-02-01

The purpose of this study was to conduct a historical review of psycho-oncology and supportive care research in Canada using citation analysis and to review the clinical impact of the research conducted by the most highly cited researchers. The lifetime journal publication records of 109 psycho-oncology and supportive care researchers in Canada were subject to citation analysis using the Scopus database, based on citations since 1996 of articles deemed relevant to psychosocial oncology and supportive care, excluding self-citations. Three primary types of analysis were performed for each individual: the number of citations for each journal publication, a summative citation count of all published articles, and the Scopus h-index. The top 20 psycho-oncology/supportive care researchers for each of five citation categories are presented: the number of citations for all publications; the number of citations for first-authored publications; the most highly cited first-authored publications; the Scopus h-index for all publications; and the Scopus h-index for first-authored publications. The three most highly cited Canadian psycho-oncology researchers are Dr. Kerry Courneya (University of Alberta), Dr. Lesley Degner, (University of Manitoba), and Dr. Harvey Chochinov (University of Manitoba). Citation analysis is useful for examining the research performance of psycho-oncology and supportive care researchers and identifying leaders among them.

Genealogical Trees of Scientific Papers

PubMed Central

Waumans, Michaël Charles; Bersini, Hugues

2016-01-01

Many results have been obtained when studying scientific papers citations databases in a network perspective. Articles can be ranked according to their current in-degree and their future popularity or citation counts can even be predicted. The dynamical properties of such networks and the observation of the time evolution of their nodes started more recently. This work adopts an evolutionary perspective and proposes an original algorithm for the construction of genealogical trees of scientific papers on the basis of their citation count evolution in time. The fitness of a paper now amounts to its in-degree growing trend and a “dying” paper will suddenly see this trend declining in time. It will give birth and be taken over by some of its most prevalent citing “offspring”. Practically, this might be used to trace the successive published milestones of a research field. PMID:26954677

Topic Models for Link Prediction in Document Networks

ERIC Educational Resources Information Center

Kataria, Saurabh

2012-01-01

Recent explosive growth of interconnected document collections such as citation networks, network of web pages, content generated by crowd-sourcing in collaborative environments, etc., has posed several challenging problems for data mining and machine learning community. One central problem in the domain of document networks is that of "link…

The (lack of) impact of retraction on citation networks.

PubMed

Madlock-Brown, Charisse R; Eichmann, David

2015-02-01

Article retraction in research is rising, yet retracted articles continue to be cited at a disturbing rate. This paper presents an analysis of recent retraction patterns, with a unique emphasis on the role author self-cites play, to assist the scientific community in creating counter-strategies. This was accomplished by examining the following: (1) A categorization of retracted articles more complete than previously published work. (2) The relationship between citation counts and after-retraction self-cites from the authors of the work, and the distribution of self-cites across our retraction categories. (3) The distribution of retractions written by both the author and the editor across our retraction categories. (4) The trends for seven of our nine defined retraction categories over a 6-year period. (5) The average journal impact factor by category, and the relationship between impact factor, author self-cites, and overall citations. Our findings indicate new reasons for retractions have emerged in recent years, and more editors are penning retractions. The rates of increase for retraction varies by category, and there is statistically significant difference of average impact factor between many categories. 18 % of authors self-cite retracted work post retraction with only 10 % of those authors also citing the retraction notice. Further, there is a positive correlation between self-cites and after retraction citations.

Scientific research in obstructive sleep apnea syndrome: bibliometric analysis in SCOPUS, 1991-2012.

PubMed

Huamaní, Charles; Rey de Castro, Jorge; González-Alcaide, Gregorio; Polesel, Daniel Ninello; Tufik, Sergio; Andersen, Monica Levy

2015-03-01

The research in obstructive sleep apnea (OSA) may be beneficial from the collaboration between countries and researchers. In this study, we aimed to analyze the scientific research on OSA from 1991 to 2012 and to evaluate the collaboration networks between countries. We conducted a bibliometric study in the SCOPUS database. The systematic search was limited to "articles" published from 1991 to 2012. Articles are results of original research; we evaluated the following criteria: number of countries represented, number of authors, number of citations, and journal names. We determined which countries were the most productive (more articles published) and the number of collaborations between these countries. The probability of citation was evaluated using adjusted odds ratios in a logistic regression analysis. We found a total of 6,896 OSA-related articles that had been published in 1,422 journals, 50 % of these articles were concentrated in 41 journals. Of the 74 different countries associated with these articles, the USA had the highest involvement with 23.8 % of all articles published. The probability of citation increased by 1.23 times for each additional author, and by 2.23 times for each additional country represented; these findings were independent of time since publication, journal, or the country of the author. Scientific production on OSA is increasing with limited international collaboration. The country with the greatest production in this period (1991-2012) was the USA, which concentrated the international collaboration network on OSA. We recommended that articles should be produced with international collaboration to improve the quantity of scientific publications and their chances of publication in high impact journals.

Citation Analysis of Iranian Journal of Basic Medical Sciences in ISI Web of Knowledge, Scopus, and Google Scholar.

PubMed

Zarifmahmoudi, Leili; Kianifar, Hamid Reza; Sadeghi, Ramin

2013-10-01

Citation tracking is an important method to analyze the scientific impact of journal articles and can be done through Scopus (SC), Google Scholar (GS), or ISI web of knowledge (WOS). In the current study, we analyzed the citations to 2011-2012 articles of Iranian Journal of Basic Medical Sciences (IJBMS) in these three resources. The relevant data from SC, GS, and WOS official websites. Total number of citations, their overlap and unique citations of these three recourses were evaluated. WOS and SC covered 100% and GS covered 97% of the IJBMS items. Totally, 37 articles were cited at least once in one of the studied resources. Total number of citations were 20, 30, and 59 in WOS, SC, and GS respectively. Forty citations of GS, 6 citation of SC, and 2 citations of WOS were unique. Every scientific resource has its own inaccuracies in providing citation analysis information. Citation analysis studies are better to be done each year to correct any inaccuracy as soon as possible. IJBMS has gained considerable scientific attention from wide range of high impact journals and through citation tracking method; this visibility can be traced more thoroughly.

Taking control of your digital library: how modern citation managers do more than just referencing.

PubMed

Mahajan, Amit K; Hogarth, D Kyle

2013-12-01

Physicians are constantly navigating the overwhelming body of medical literature available on the Internet. Although early citation managers were capable of limited searching of index databases and tedious bibliography production, modern versions of citation managers such as EndNote, Zotero, and Mendeley are powerful web-based tools for searching, organizing, and sharing medical literature. Effortless point-and-click functions provide physicians with the ability to develop robust digital libraries filled with literature relevant to their fields of interest. In addition to easily creating manuscript bibliographies, various citation managers allow physicians to readily access medical literature, share references for teaching purposes, collaborate with colleagues, and even participate in social networking. If physicians are willing to invest the time to familiarize themselves with modern citation managers, they will reap great benefits in the future.

A Citation Analysis of Who's Who in Introductory Textbooks

ERIC Educational Resources Information Center

Griggs, Richard A.; Proctor, Derrick L.

2002-01-01

Given the many changes in the introductory psychology textbook market in the past 2 decades and the lack of a recent citation study of introductory texts, we conducted a citation analysis of a stratified random sample of current texts. To provide a more comprehensive picture of current citation emphases, we extended our analysis to the top 60…

Citation Patterns of Engineering, Statistics, and Computer Science Researchers: An Internal and External Citation Analysis across Multiple Engineering Subfields

ERIC Educational Resources Information Center

Kelly, Madeline

2015-01-01

This study takes a multidimensional approach to citation analysis, examining citations in multiple subfields of engineering, from both scholarly journals and doctoral dissertations. The three major goals of the study are to determine whether there are differences between citations drawn from dissertations and those drawn from journal articles; to…

Core Journal Networks and Cocitation Maps in the Marine Sciences: Tools for Information Management in Interdisciplinary Research.

ERIC Educational Resources Information Center

McCain, Katherine W.

1992-01-01

Demonstrates the interrelationship between two traditionally separate literatures, i.e., marine biology and physical oceanography, and develops a joint core journal list. The use of journal intercitation data from "Journal Citation Reports" for "Science Citation Index" and from SCISEARCH on DIALOG to create a cocitation map is…

Blended Learning Citation Patterns and Publication Networks across Seven Worldwide Regions

ERIC Educational Resources Information Center

Spring, Kristian J.; Graham, Charles R.

2017-01-01

The field of international blended learning (BL) is primed to benefit from stronger communication and collaboration. Collaboration is currently limited, and regions vary greatly in terms of citations. However, BL is growing worldwide and each region is an important part of the community. The goal of this research is to explore where the most…

[International visibility and impact of the Spanish research on prison health (2002-2011)].

PubMed

Ruíz-Pérez, R; Robinson-García, N

2013-01-01

This paper sets out to analyze the dissemination and impact of Spanish research published in international scientific journals on Prison Health over the last decade. Descriptive, longitudinal and retrospective analysis of scientific output. We used the Medline-Pubmed database as an information resource. We focus on the bibliometric aspects of journals, papers and authors using the indicators offered by the Web of Science, the Journal Citation Reports and the Essential Science Indicators. We identify the output of Spanish researchers, journals in which they are published, authors and main research fields. From 2002 to 2011, Spanish researchers published 159 papers, that is, nearly 2% of the world's share in Prison Health. The publication profile is mainly in international journals with an average impact on JCR. The Revista Española de Sanidad Penitenciaria is the most productive journal (9.09%), although its role is not prominent. Only two authors can be considered as medium-high productive authors with 10 papers in the study time period. The co-authors network shows a dense network with 14 authors along with minor fragmented networks. As regards citations, 6 papers have been cited 15 or more times and only two can be considered as highly cited. Three main research fronts have been identified: infectious diseases, drugs and psychiatric-psychological problems. The Spanish research production on Prison Health represents a similar share of the world output similar to that of other disciplines (1.9%), although slightly lower (General Medicine represents 3.05%; Public Health, 2.38%; Psychiatry, 2.29%; Toxicology, 2.46%). It seems likely that this share will increase as a result of the inclusion of its main journal in Medline along with an increasing number of researchers working on this discipline at an international level. However, inclusion has not yet led to integration into high-impact journals or a larger number of citations. The average Journal Impact Factor is relatively low (2.062) and few papers are published in first-class journals (Q1). There are few articles with a good citation average according to the discipline's standard. Likewise, the collaboration pattern still shows a poor state for Spanish research on Prison Health.

On a Modern Philosophy of Evaluating Scientific Publications

NASA Astrophysics Data System (ADS)

Guz, A. N.; Rushchitsky, J. J.; Chernyshenko, I. S.

2005-10-01

Current approaches to the citation analysis of scientific publications are outlined. Science Citation Index, Impact Factor, Immediacy Index, and the selection procedure for Essential Science Indicators—a relatively new citation analysis tool—are described. The new citation evaluation tool has yet not been discussed adequately by mechanicians

[Analysis of citations and national and international impact factor of Farmacia Hospitalaria (2001-2005)].

PubMed

Aleixandre-Benavent, R; González Alcaide, G; Miguel-Dasit, A; González de Dios, J; de Granda Orive, J I; Valderrama Zurián, J C

2007-01-01

The objective of this study is to analyse the citation patterns and impact and immediacy indicators of the Farmacia Hospitalaria journal during the period 2001-2005. An analysis of citations chosen from 101 Spanish health science journals was carried out in order to determine the citing and cited journals and the national and international impact and immediacy indicators. A similar methodology used by Thomson ISI in Science Citation Index (SCI) and Journal Citation Reports (JRC) was applied. Farmacia Hospitalaria made 1,370 citations to 316 different journals. The percentage of self-citations was 9%. The national impact factor increased from 0.178 points in 2001 to 0.663 points in 2005 while the international impact factor increased from 0.178 to 0.806 for the same period. The analysis of citation patterns demonstrates the multidisciplinary nature of Farmacia Hospitalaria and a significant growth in the impact indicators over recent years. These indicators are higher than those of some other pharmacy journals included in Journal Citation Reports. Self-citation was not excessive and was similar to that of other journals.

Citation Sentiment Analysis in Clinical Trial Papers

PubMed Central

Xu, Jun; Zhang, Yaoyun; Wu, Yonghui; Wang, Jingqi; Dong, Xiao; Xu, Hua

2015-01-01

In scientific writing, positive credits and negative criticisms can often be seen in the text mentioning the cited papers, providing useful information about whether a study can be reproduced or not. In this study, we focus on citation sentiment analysis, which aims to determine the sentiment polarity that the citation context carries towards the cited paper. A citation sentiment corpus was annotated first on clinical trial papers. The effectiveness of n-gram and sentiment lexicon features, and problem-specified structure features for citation sentiment analysis were then examined using the annotated corpus. The combined features from the word n-grams, the sentiment lexicons and the structure information achieved the highest Micro F-score of 0.860 and Macro-F score of 0.719, indicating that it is feasible to use machine learning methods for citation sentiment analysis in biomedical publications. A comprehensive comparison between citation sentiment analysis of clinical trial papers and other general domains were conducted, which additionally highlights the unique challenges within this domain. PMID:26958274

A Ten Year Citation Analysis of Major Australian Research Institutions

ERIC Educational Resources Information Center

Batterham, Robin J.

2011-01-01

The introduction of the Excellence in Research for Australia scheme has heightened debate amongst research institutions over the use of metrics such as citations, especially given the ready availability of citation data. An analysis is presented of the citation performance of nine Australian universities and the Commonwealth Scientific, Industrial…

How new concepts become universal scientific approaches: insights from citation network analysis of agent-based complex systems science.

PubMed

Vincenot, Christian E

2018-03-14

Progress in understanding and managing complex systems comprised of decision-making agents, such as cells, organisms, ecosystems or societies, is-like many scientific endeavours-limited by disciplinary boundaries. These boundaries, however, are moving and can actively be made porous or even disappear. To study this process, I advanced an original bibliometric approach based on network analysis to track and understand the development of the model-based science of agent-based complex systems (ACS). I analysed research citations between the two communities devoted to ACS research, namely agent-based (ABM) and individual-based modelling (IBM). Both terms refer to the same approach, yet the former is preferred in engineering and social sciences, while the latter prevails in natural sciences. This situation provided a unique case study for grasping how a new concept evolves distinctly across scientific domains and how to foster convergence into a universal scientific approach. The present analysis based on novel hetero-citation metrics revealed the historical development of ABM and IBM, confirmed their past disjointedness, and detected their progressive merger. The separation between these synonymous disciplines had silently opposed the free flow of knowledge among ACS practitioners and thereby hindered the transfer of methodological advances and the emergence of general systems theories. A surprisingly small number of key publications sparked the ongoing fusion between ABM and IBM research. Beside reviews raising awareness of broad-spectrum issues, generic protocols for model formulation and boundary-transcending inference strategies were critical means of science integration. Accessible broad-spectrum software similarly contributed to this change. From the modelling viewpoint, the discovery of the unification of ABM and IBM demonstrates that a wide variety of systems substantiate the premise of ACS research that microscale behaviours of agents and system-level dynamics are inseparably bound. © 2018 The Author(s).

Citation Analysis of Iranian Journal of Basic Medical Sciences in ISI Web of Knowledge, Scopus, and Google Scholar

PubMed Central

Zarifmahmoudi, Leili; Kianifar, Hamid Reza; Sadeghi, Ramin

2013-01-01

Objective(s): Citation tracking is an important method to analyze the scientific impact of journal articles and can be done through Scopus (SC), Google Scholar (GS), or ISI web of knowledge (WOS). In the current study, we analyzed the citations to 2011-2012 articles of Iranian Journal of Basic Medical Sciences (IJBMS) in these three resources. Material and Methods: The relevant data from SC, GS, and WOS official websites. Total number of citations, their overlap and unique citations of these three recourses were evaluated. Results: WOS and SC covered 100% and GS covered 97% of the IJBMS items. Totally, 37 articles were cited at least once in one of the studied resources. Total number of citations were 20, 30, and 59 in WOS, SC, and GS respectively. Forty citations of GS, 6 citation of SC, and 2 citations of WOS were unique. Conclusion: Every scientific resource has its own inaccuracies in providing citation analysis information. Citation analysis studies are better to be done each year to correct any inaccuracy as soon as possible. IJBMS has gained considerable scientific attention from wide range of high impact journals and through citation tracking method; this visibility can be traced more thoroughly. PMID:24379959

Bibliometrics of systematic reviews: analysis of citation rates and journal impact factors

PubMed Central

2013-01-01

Background Systematic reviews are important for informing clinical practice and health policy. The aim of this study was to examine the bibliometrics of systematic reviews and to determine the amount of variance in citations predicted by the journal impact factor (JIF) alone and combined with several other characteristics. Methods We conducted a bibliometric analysis of 1,261 systematic reviews published in 2008 and the citations to them in the Scopus database from 2008 to June 2012. Potential predictors of the citation impact of the reviews were examined using descriptive, univariate and multiple regression analysis. Results The mean number of citations per review over four years was 26.5 (SD ±29.9) or 6.6 citations per review per year. The mean JIF of the journals in which the reviews were published was 4.3 (SD ±4.2). We found that 17% of the reviews accounted for 50% of the total citations and 1.6% of the reviews were not cited. The number of authors was correlated with the number of citations (r = 0.215, P < 0.001). Higher numbers of citations were associated with the following characteristics: first author from the United States (36.5 citations), an ICD-10 chapter heading of Neoplasms (31.8 citations), type of intervention classified as Investigation, Diagnostics or Screening (34.7 citations) and having an international collaboration (32.1 citations). The JIF alone explained more than half of the variation in citations (R2 = 0.59) in univariate analysis. Adjusting for both JIF and type of intervention increased the R2 value to 0.81. Fourteen percent of reviews published in the top quartile of JIFs (≥ 5.16) received citations in the bottom quartile (eight or fewer), whereas 9% of reviews published in the lowest JIF quartile (≤ 2.06) received citations in the top quartile (34 or more). Six percent of reviews in journals with no JIF were also in the first quartile of citations. Conclusions The JIF predicted over half of the variation in citations to the systematic reviews. However, the distribution of citations was markedly skewed. Some reviews in journals with low JIFs were well-cited and others in higher JIF journals received relatively few citations; hence the JIF did not accurately represent the number of citations to individual systematic reviews. PMID:24028376

Local Citation Analysis of Graduate Biology Theses: Collection Development Implications

ERIC Educational Resources Information Center

Miller, Laura Newton

2011-01-01

This paper will focus on the citation analysis of graduate masters theses from Carleton University's Biology Department with implications for library collection management decisions. Twenty-five masters theses were studied to determine citation types and percentages, ranking of journals by frequency of citation and by number of authors citing, and…

Self- And Cross-Citations in the Journal of Applied Behavior Analysis and the Journal of the Experimental Analysis of Behavior: 1993-2003

ERIC Educational Resources Information Center

Elliott, Amy J.; Morgan, Kineta; Fuqua, R. Wayne; Ehrhardt, Kristal; Poling, Alan

2005-01-01

Self- and cross-citations in JABA and JEAB from 1993 through 2003 were examined. Yearly mean levels of self-citation for JABA and JEAB were 34.9% and 33.2%, respectively. Overall, 7.8% of JABA citations were JEAB articles, and 0.6% of JEAB citations were JABA articles. The former value, but not the latter, is substantially higher than the…

Development of a Data Citations Database for an Interdisciplinary Data Center

NASA Astrophysics Data System (ADS)

Chen, R. S.; Downs, R. R.; Schumacher, J.; Gerard, A.

2017-12-01

The scientific community has long depended on consistent citation of the scientific literature to enable traceability, support replication, and facilitate analysis and debate about scientific hypotheses, theories, assumptions, and conclusions. However, only in the past few years has the community focused on consistent citation of scientific data, e.g., through the application of Digital Object Identifiers (DOIs) to data, the development of peer-reviewed data publications, community principles and guidelines, and other mechanisms. This means that, moving ahead, it should be easier to identify and track data citations and conduct systematic bibliometric studies. However, this still leaves the problem that many legacy datasets and past citations lack DOIs, making it difficult to develop a historical baseline or assess trends. With this in mind, the NASA Socioeconomic Data and Applications Center (SEDAC) has developed a searchable citations database, containing more than 3,400 citations of SEDAC data and information products over the past 20 years. These citations were collected through various indices and search tools and in some cases through direct contacts with authors. The citations come from a range of natural, social, health, and engineering science journals, books, reports, and other media. The database can be used to find and extract citations filtered by a range of criteria, enabling quantitative analysis of trends, intercomparisons between data collections, and categorization of citations by type. We present a preliminary analysis of citations for selected SEDAC data collections, in order to establish a baseline and assess options for ongoing metrics to track the impact of SEDAC data on interdisciplinary science. We also present an analysis of the uptake of DOIs within data citations reported in published studies that used SEDAC data.

Forty years of secondhand smoke research: the gap between discovery and delivery.

PubMed

Harris, Jenine K; Luke, Douglas A; Zuckerman, Rachael B; Shelton, Sarah C

2009-06-01

Public health initiatives often focus on the discovery of risk factors associated with disease and death. Although this is an important step in protecting public health, recently the field has recognized that it is critical to move along the continuum from discovery of risk factors to delivery of interventions, and to improve the quality and speed of translating scientific discoveries into practice. To understand how public health problems move from discovery to delivery, citation network analysis was used to examine 1877 articles on secondhand smoke (SHS) published between 1965 and 2005. Data were collected and analyzed in 2006-2007. Citation patterns showed discovery and delivery to be distinct areas of SHS research. There was little cross-citation between discovery and delivery research, including only nine citation connections between the main paths. A discovery article was 83.5% less likely to cite a delivery article than to cite another discovery article (OR=0.165 [95% CI=0.139, 0.197]), and a delivery article was 64.3% less likely (OR=0.357 [95% CI=0.330, 0.386]) to cite a discovery article than to cite another delivery article. Research summaries, such as Surgeon General reports, were cited frequently and appear to bridge the discovery-delivery gap. There was a lack of cross-citation between discovery and delivery, even though they share the goal of understanding and reducing the impact of SHS. Reliance on research summaries, although they provide an important bridge between discovery and delivery, may slow the development of a field.

Relative Citation Ratio (RCR): A New Metric That Uses Citation Rates to Measure Influence at the Article Level.

PubMed

Hutchins, B Ian; Yuan, Xin; Anderson, James M; Santangelo, George M

2016-09-01

Despite their recognized limitations, bibliometric assessments of scientific productivity have been widely adopted. We describe here an improved method to quantify the influence of a research article by making novel use of its co-citation network to field-normalize the number of citations it has received. Article citation rates are divided by an expected citation rate that is derived from performance of articles in the same field and benchmarked to a peer comparison group. The resulting Relative Citation Ratio is article level and field independent and provides an alternative to the invalid practice of using journal impact factors to identify influential papers. To illustrate one application of our method, we analyzed 88,835 articles published between 2003 and 2010 and found that the National Institutes of Health awardees who authored those papers occupy relatively stable positions of influence across all disciplines. We demonstrate that the values generated by this method strongly correlate with the opinions of subject matter experts in biomedical research and suggest that the same approach should be generally applicable to articles published in all areas of science. A beta version of iCite, our web tool for calculating Relative Citation Ratios of articles listed in PubMed, is available at https://icite.od.nih.gov.

Relative Citation Ratio (RCR): A New Metric That Uses Citation Rates to Measure Influence at the Article Level

PubMed Central

Hutchins, B. Ian; Yuan, Xin; Santangelo, George M.

2016-01-01

Despite their recognized limitations, bibliometric assessments of scientific productivity have been widely adopted. We describe here an improved method to quantify the influence of a research article by making novel use of its co-citation network to field-normalize the number of citations it has received. Article citation rates are divided by an expected citation rate that is derived from performance of articles in the same field and benchmarked to a peer comparison group. The resulting Relative Citation Ratio is article level and field independent and provides an alternative to the invalid practice of using journal impact factors to identify influential papers. To illustrate one application of our method, we analyzed 88,835 articles published between 2003 and 2010 and found that the National Institutes of Health awardees who authored those papers occupy relatively stable positions of influence across all disciplines. We demonstrate that the values generated by this method strongly correlate with the opinions of subject matter experts in biomedical research and suggest that the same approach should be generally applicable to articles published in all areas of science. A beta version of iCite, our web tool for calculating Relative Citation Ratios of articles listed in PubMed, is available at https://icite.od.nih.gov. PMID:27599104

Evaluation of Scientific Outputs of Kashan University of Medical Sciences in Scopus Citation Database based on Scopus, ResearchGate, and Mendeley Scientometric Measures

PubMed Central

Batooli, Zahra; Ravandi, Somaye Nadi; Bidgoli, Mohammad Sabahi

2016-01-01

Introduction It is essential to evaluate the impact of scientific publications through citation analysis in citation indexes. In addition, scientometric measures of social media also should be assessed. These measures include how many times the publications were read, viewed, and downloaded. The present study aimed to assess the scientific output of scholars at Kashan University of Medical Sciences by the end of March 2014 based on scientometric measures of Scopus, ResearchGate, and Mendeley. Methods A survey method was used to study the articles published in Scopus journals by scholars at Kashan University of Medical Sciences by the end of March 2014. The required data were collected from Scopus, ResearchGate, and Mendeley. The data were analyzed with descriptive statistics. Also, the Spearman correlation was used between the number of views of articles in ResearchGate with citation number of the articles in Scopus and reading frequency of the articles in Mendeley with citation number in Scopus were examined using the Spearman correlation in SPSS 16. Results Five-hundred and thirty-three articles were indexed in the Scopus Citation Database by the end of March 2014. Collectively, those articles were cited 1,315 times. The articles were covered by ResearchGate (74%) more than Mendeley (44%). In addition, 98% of the articles indexed in ResearchGate and 92% of the articles indexed in Mendeley were viewed at least once. The results showed that there was a positive correlation between the number of views of the articles in ResearchGate and Mendeley and the number of citations of the articles in Scopus. Conclusion Coverage and the number of visitors were higher in ResearchGate than in Mendeley. The increase in the number of views of articles in ResearchGate and Mendeley also increased the number of citations of the papers. Social networks, such as ResearchGate and Mendeley, also can be used as tools for the evaluation of academics and scholars based on the scientific research they have conducted. PMID:27054017

Evaluation of Scientific Outputs of Kashan University of Medical Sciences in Scopus Citation Database based on Scopus, ResearchGate, and Mendeley Scientometric Measures.

PubMed

Batooli, Zahra; Ravandi, Somaye Nadi; Bidgoli, Mohammad Sabahi

2016-02-01

It is essential to evaluate the impact of scientific publications through citation analysis in citation indexes. In addition, scientometric measures of social media also should be assessed. These measures include how many times the publications were read, viewed, and downloaded. The present study aimed to assess the scientific output of scholars at Kashan University of Medical Sciences by the end of March 2014 based on scientometric measures of Scopus, ResearchGate, and Mendeley. A survey method was used to study the articles published in Scopus journals by scholars at Kashan University of Medical Sciences by the end of March 2014. The required data were collected from Scopus, ResearchGate, and Mendeley. The data were analyzed with descriptive statistics. Also, the Spearman correlation was used between the number of views of articles in ResearchGate with citation number of the articles in Scopus and reading frequency of the articles in Mendeley with citation number in Scopus were examined using the Spearman correlation in SPSS 16. Five-hundred and thirty-three articles were indexed in the Scopus Citation Database by the end of March 2014. Collectively, those articles were cited 1,315 times. The articles were covered by ResearchGate (74%) more than Mendeley (44%). In addition, 98% of the articles indexed in ResearchGate and 92% of the articles indexed in Mendeley were viewed at least once. The results showed that there was a positive correlation between the number of views of the articles in ResearchGate and Mendeley and the number of citations of the articles in Scopus. Coverage and the number of visitors were higher in ResearchGate than in Mendeley. The increase in the number of views of articles in ResearchGate and Mendeley also increased the number of citations of the papers. Social networks, such as ResearchGate and Mendeley, also can be used as tools for the evaluation of academics and scholars based on the scientific research they have conducted.

Randomizing growing networks with a time-respecting null model

NASA Astrophysics Data System (ADS)

Ren, Zhuo-Ming; Mariani, Manuel Sebastian; Zhang, Yi-Cheng; Medo, Matúš

2018-05-01

Complex networks are often used to represent systems that are not static but grow with time: People make new friendships, new papers are published and refer to the existing ones, and so forth. To assess the statistical significance of measurements made on such networks, we propose a randomization methodology—a time-respecting null model—that preserves both the network's degree sequence and the time evolution of individual nodes' degree values. By preserving the temporal linking patterns of the analyzed system, the proposed model is able to factor out the effect of the system's temporal patterns on its structure. We apply the model to the citation network of Physical Review scholarly papers and the citation network of US movies. The model reveals that the two data sets are strikingly different with respect to their degree-degree correlations, and we discuss the important implications of this finding on the information provided by paradigmatic node centrality metrics such as indegree and Google's PageRank. The randomization methodology proposed here can be used to assess the significance of any structural property in growing networks, which could bring new insights into the problems where null models play a critical role, such as the detection of communities and network motifs.

Citation analysis of meta-analysis articles on posttraumatic stress disorder.

PubMed

Liao, Xi-Ming; Chen, Ping-Yan

2011-04-01

In the past two decades enormously scientific researches on posttraumatic stress disorder (PTSD) have been undertaken and many related meta-analyses have been published. Citation analysis was used to get comprehensive perspectives of meta-analysis articles (MA articles) on PTSD for the purpose of facilitating the researchers, physicians and policy-makers to understand the PTSD. MA articles on PTSD in any languages from January 1980 to March 2009 were included if they presented meta-analytical methods and received at least one citation recorded in the Web of Science (WoS). Whereas studies, in which any effect sizes of PTSD were not distinguished from other psychological disorders, were excluded. Citations to and by identified MA articles were documented basing on records in WoS. Citation analysis was used to examine distribution patterns of characteristics and citation impact of MA articles on PTSD. Canonical analysis was used to explore the relationship between the characteristics of MA articles and citation impact. Thirty-four MA articles published during 1998 and 2008 were identified and revealed multiple study topics on PTSD: 10 (29.4%) were about epidemiology, 13 (38.2%) about treatment or intervention, 6 (17.6%) about pathophysiology or neurophysiology or neuroendocrine, 3 (8.8%) about childhood and 2 (5.9%) about psychosocial adversity. Two articles cited most frequently with 456 and 145 counts were published in Journal of Consulting and Clinical Psychology by Brewin (2000) and Psychological Bulletin by Ozer (2003), respectively. Mean cited count was 7.48 ± 10.56 and mean age (year 2009 minus article publication year) was (4.24 ± 2.91) years. They had been cited approximately by 67 disciplines and by authors from 42 countries or territories. Characteristics of meta-analysis highly correlated with citation impact and reflected by canonical correlation of 0.899 (P < 0.000 01). The age of MA articles predicted their citation impact. Citation analysis would serve to capture the global perspectives and topics of MA articles on PTSD.

A Citation Analysis of Three American Nursing Journals.

ERIC Educational Resources Information Center

Williams, Barbara A.

A citation analysis of three American nursing journals published in the United States was conducted in each of the sample journals for the first 7 months of 1996. Any attempt to cite a reference source was considered a citation. Each citation was coded for type and placement in relation to the text of the sample journals. The content of each…

Automatic generation of investigator bibliographies for institutional research networking systems.

PubMed

Johnson, Stephen B; Bales, Michael E; Dine, Daniel; Bakken, Suzanne; Albert, Paul J; Weng, Chunhua

2014-10-01

Publications are a key data source for investigator profiles and research networking systems. We developed ReCiter, an algorithm that automatically extracts bibliographies from PubMed using institutional information about the target investigators. ReCiter executes a broad query against PubMed, groups the results into clusters that appear to constitute distinct author identities and selects the cluster that best matches the target investigator. Using information about investigators from one of our institutions, we compared ReCiter results to queries based on author name and institution and to citations extracted manually from the Scopus database. Five judges created a gold standard using citations of a random sample of 200 investigators. About half of the 10,471 potential investigators had no matching citations in PubMed, and about 45% had fewer than 70 citations. Interrater agreement (Fleiss' kappa) for the gold standard was 0.81. Scopus achieved the best recall (sensitivity) of 0.81, while name-based queries had 0.78 and ReCiter had 0.69. ReCiter attained the best precision (positive predictive value) of 0.93 while Scopus had 0.85 and name-based queries had 0.31. ReCiter accesses the most current citation data, uses limited computational resources and minimizes manual entry by investigators. Generation of bibliographies using named-based queries will not yield high accuracy. Proprietary databases can perform well but requite manual effort. Automated generation with higher recall is possible but requires additional knowledge about investigators. Copyright © 2014 Elsevier Inc. All rights reserved.

Automatic generation of investigator bibliographies for institutional research networking systems

PubMed Central

Johnson, Stephen B.; Bales, Michael E.; Dine, Daniel; Bakken, Suzanne; Albert, Paul J.; Weng, Chunhua

2014-01-01

Objective Publications are a key data source for investigator profiles and research networking systems. We developed ReCiter, an algorithm that automatically extracts bibliographies from PubMed using institutional information about the target investigators. Methods ReCiter executes a broad query against PubMed, groups the results into clusters that appear to constitute distinct author identities and selects the cluster that best matches the target investigator. Using information about investigators from one of our institutions, we compared ReCiter results to queries based on author name and institution and to citations extracted manually from the Scopus database. Five judges created a gold standard using citations of a random sample of 200 investigators. Results About half of the 10,471 potential investigators had no matching citations in PubMed, and about 45% had fewer than 70 citations. Interrater agreement (Fleiss’ kappa) for the gold standard was 0.81. Scopus achieved the best recall (sensitivity) of 0.81, while name-based queries had 0.78 and ReCiter had 0.69. ReCiter attained the best precision (positive predictive value) of 0.93 while Scopus had 0.85 and name-based queries had 0.31. Discussion ReCiter accesses the most current citation data, uses limited computational resources and minimizes manual entry by investigators. Generation of bibliographies using named-based queries will not yield high accuracy. Proprietary databases can perform well but requite manual effort. Automated generation with higher recall is possible but requires additional knowledge about investigators. PMID:24694772

A simple centrality index for scientific social recognition

NASA Astrophysics Data System (ADS)

Kinouchi, Osame; Soares, Leonardo D. H.; Cardoso, George C.

2018-02-01

We introduce a new centrality index for bipartite networks of papers and authors that we call K-index. The K-index grows with the citation performance of the papers that cite a given researcher and can be seen as a measure of scientific social recognition. Indeed, the K-index measures the number of hubs, defined in a self-consistent way in the bipartite network, that cites a given author. We show that the K-index can be computed by simple inspection of the Web of Science platform and presents several advantages over other centrality indexes, in particular Hirsch h-index. The K-index is robust to self-citations, is not limited by the total number of papers published by a researcher as occurs for the h-index and can distinguish in a consistent way researchers that have the same h-index but very different scientific social recognition. The K-index easily detects a known case of a researcher with inflated number of papers, citations and h-index due to scientific misconduct. Finally, we show that, in a sample of twenty-eight physics Nobel laureates and twenty-eight highly cited non-Nobel-laureate physicists, the K-index correlates better to the achievement of the prize than the number of papers, citations, citations per paper, citing articles or the h-index. Clustering researchers in a K versus h plot reveals interesting outliers that suggest that these two indexes can present complementary independent information.

Repetitive Series Interrupter II.

DTIC Science & Technology

1977-07-01

nated by other authorized documents. The citation of trade names and names of manufacturers is this report is not to be construed as official... intergrating inductor Magnet circuit load resistance Pulse-forming network load resistance Fault network load resistance Time delay between TUT fire and

Academic Affiliations of Social Work Authors: A Citation Analysis of Six Major Journals.

ERIC Educational Resources Information Center

Thyer, Bruce; Bentley, Kia J.

1986-01-01

Citation analysis as an indicator of scholarly activity is examined, and a discrepancy is noted between two previously published studies on the academic affiliations of social work authors, in light of the authors' present citation analysis of six major work journals. (Author/MH)

[Globalization of acupuncture technology innovation: a quantitative analysis based on acupuncture patents in the U.S.A].

PubMed

Pan, Wei; Hu, Yuan-Jia; Wang, Yi-Tao

2011-08-01

The structure of international flow of acupuncture knowledge was explored in this article so as to promote the globalization of acupuncture technology innovation. Statistical methods were adopted to reveal geographical distribution of acupuncture patents in the U.S.A. and the influencing factors of cumulative advantage of acupuncture techniques as well as innovation value of application of acupuncture patents. Social network analysis was also utilized to establish a global innovation network of acupuncture technology. The result shows that the cumulative strength on acupuncture technology correlates with the patent retention period. The innovative value of acupuncture invention correlates with the frequency of patent citation. And the U. S. A. and Canada seize central positions in the global acupuncture information and technology delivery system.

Journal rankings by citation analysis in health sciences librarianship.

PubMed Central

Fang, M L

1989-01-01

The purpose of this study was to identify objectively a hierarchical ranking of journals for health sciences librarians with faculty status. Such a guideline can indicate a journal's value for promotion and tenure consideration. Lists of recent research articles (1982-1986) in health sciences librarianship, and articles written by health sciences librarians, were compiled by searching Social SCISEARCH and MEDLINE. The journals publishing those articles are presented. Results show BMLA as the most prominent journal in the field. Therefore, citations from articles in BMLA from 1982 to 1986 were chosen as a sample for citation analysis. Citation analysis was employed to identify the most frequently cited journals. Some characteristics of the citations in BMLA are also discussed. The ranking of journals based on citation frequency, as a result, was identified. PMID:2655785

A longitudinal social network analysis of the editorial boards of medical informatics and bioinformatics journals.

PubMed

Malin, Bradley; Carley, Kathleen

2007-01-01

The goal of this research is to learn how the editorial staffs of bioinformatics and medical informatics journals provide support for cross-community exposure. Models such as co-citation and co-author analysis measure the relationships between researchers; but they do not capture how environments that support knowledge transfer across communities are organized. In this paper, we propose a social network analysis model to study how editorial boards integrate researchers from disparate communities. We evaluate our model by building relational networks based on the editorial boards of approximately 40 journals that serve as research outlets in medical informatics and bioinformatics. We track the evolution of editorial relationships through a longitudinal investigation over the years 2000 through 2005. Our findings suggest that there are research journals that support the collocation of editorial board members from the bioinformatics and medical informatics communities. Network centrality metrics indicate that editorial board members are located in the intersection of the communities and that the number of individuals in the intersection is growing with time. Social network analysis methods provide insight into the relationships between the medical informatics and bioinformatics communities. The number of editorial board members facilitating the publication intersection of the communities has grown, but the intersection remains dependent on a small group of individuals and fragile.

Strengthening National, Homeland, and Economic Security. Networking and Information Technology Research and Development Supplement to the President’s FY 2003 Budget

DTIC Science & Technology

2002-07-01

Knowledge From Data .................................................. 25 HIGH-CONFIDENCE SOFTWARE AND SYSTEMS Reliability, Security, and Safety for...NOAA’s Cessna Citation flew over the 16-acre World Trade Center site, scanning with an Optech ALSM unit. The system recorded data points from 33,000...provide the data storage and compute power for intelligence analysis, high-performance national defense systems , and critical scientific research • Large

Self- and cross-citations in the Journal of Applied Behavior Analysis and the Journal of the Experimental Analysis of Behavior: 1993-2003.

PubMed

Elliott, Amy J; Morgan, Kineta; Fuqua, R Wayne; Ehrhardt, Kristal; Poling, Alan

2005-01-01

Self- and cross-citations in JABA and JEAB from 1993 through 2003 were examined. Yearly mean levels of self-citation for JABA and JEAB were 34.9% and 33.2%, respectively. Overall, 7.8% of JABA citations were JEAB articles, and 0.6% of JEAB citations were JABA articles. The former value, but not the latter, is substantially higher than the cross-citation level reported for earlier years. The two JEAB articles most often cited in JABA were published over 20 years ago and are concerned with establishing operations and the matching law.

Self- and Cross-Citations in the Journal of Applied Behavior Analysis and the Journal of the Experimental Analysis of Behavior: 1993–2003

PubMed Central

2005-01-01

Self- and cross-citations in JABA and JEAB from 1993 through 2003 were examined. Yearly mean levels of self-citation for JABA and JEAB were 34.9% and 33.2%, respectively. Overall, 7.8% of JABA citations were JEAB articles, and 0.6% of JEAB citations were JABA articles. The former value, but not the latter, is substantially higher than the cross-citation level reported for earlier years. The two JEAB articles most often cited in JABA were published over 20 years ago and are concerned with establishing operations and the matching law. PMID:16463538

A brain-region-based meta-analysis method utilizing the Apriori algorithm.

PubMed

Niu, Zhendong; Nie, Yaoxin; Zhou, Qian; Zhu, Linlin; Wei, Jieyao

2016-05-18

Brain network connectivity modeling is a crucial method for studying the brain's cognitive functions. Meta-analyses can unearth reliable results from individual studies. Meta-analytic connectivity modeling is a connectivity analysis method based on regions of interest (ROIs) which showed that meta-analyses could be used to discover brain network connectivity. In this paper, we propose a new meta-analysis method that can be used to find network connectivity models based on the Apriori algorithm, which has the potential to derive brain network connectivity models from activation information in the literature, without requiring ROIs. This method first extracts activation information from experimental studies that use cognitive tasks of the same category, and then maps the activation information to corresponding brain areas by using the automatic anatomical label atlas, after which the activation rate of these brain areas is calculated. Finally, using these brain areas, a potential brain network connectivity model is calculated based on the Apriori algorithm. The present study used this method to conduct a mining analysis on the citations in a language review article by Price (Neuroimage 62(2):816-847, 2012). The results showed that the obtained network connectivity model was consistent with that reported by Price. The proposed method is helpful to find brain network connectivity by mining the co-activation relationships among brain regions. Furthermore, results of the co-activation relationship analysis can be used as a priori knowledge for the corresponding dynamic causal modeling analysis, possibly achieving a significant dimension-reducing effect, thus increasing the efficiency of the dynamic causal modeling analysis.

Implementing a reform-oriented pedagogy: challenges for novice secondary mathematics teachers

NASA Astrophysics Data System (ADS)

Lewis, Gary M.

2014-06-01

Novice secondary mathematics teachers attempting teaching consonant with the National Council of Teachers of Mathematics (1991, 2007) Professional Standards for Teaching Mathematics experience many stresses related to their attempts at student-centered instruction; prominent among those were novices' challenges when orchestrating whole-class mathematical discussions with students taking a central, substantive role. During such discussions, students offer conjectures, ideas, and solutions and use mathematical argumentation and verification processes. Such teaching can create uncertainty and stress as teachers occupy a revised teaching role. They avoid evaluating student ideas during class; instead, they ask questions to move students' thinking forward, pose problems that deepen students' mathematical understanding, and choose between competing directions the discussion may take. Ultimately, teachers decide whether to continue pursuing such teaching goals or revert back to more familiar, teacher-centered methods. Supportive networks showed promise at helping novices navigate their first few years of teaching; organized networks helped novices meet their teaching goals while limiting the impact of their challenges on their well-being and teaching goals. The results of this study may inform teacher educators, administrators, and colleagues on how to support novices in pursuing teaching better aligned with novices' teaching ideals and reformer's visions.

Mapping the emergence and development of translational cancer research.

PubMed

Cambrosio, Alberto; Keating, Peter; Mercier, Simon; Lewison, Grant; Mogoutov, Andrei

2006-12-01

Cancer research is one of the principal targets of translational research, yet the nature of the relationships between different forms of cancer research remains controversial. The paper examines publications in the cancer field during the 1980-2000 period. A network analysis software program was used to map evolving patterns of inter-citations between cancer publications, their different research levels and the transformation of their relational content. Both inter-citation and content maps provide striking evidence of the consolidation in the 1990s of a translational interface that was practically non existent a few decades before. In 1980, research was polarized according to the allegiance to either a clinical or a laboratory style. This same duality obtains in the year 2000, albeit with the additional presence of a third, biomedical player whose activities are similarly structured by a common orientation, rather than by an exclusive commitment to a specific sub-domain.

Citing a Data Repository: A Case Study of the Protein Data Bank

PubMed Central

Huang, Yi-Hung; Rose, Peter W.; Hsu, Chun-Nan

2015-01-01

The Protein Data Bank (PDB) is the worldwide repository of 3D structures of proteins, nucleic acids and complex assemblies. The PDB’s large corpus of data (> 100,000 structures) and related citations provide a well-organized and extensive test set for developing and understanding data citation and access metrics. In this paper, we present a systematic investigation of how authors cite PDB as a data repository. We describe a novel metric based on information cascade constructed by exploring the citation network to measure influence between competing works and apply that to analyze different data citation practices to PDB. Based on this new metric, we found that the original publication of RCSB PDB in the year 2000 continues to attract most citations though many follow-up updates were published. None of these follow-up publications by members of the wwPDB organization can compete with the original publication in terms of citations and influence. Meanwhile, authors increasingly choose to use URLs of PDB in the text instead of citing PDB papers, leading to disruption of the growth of the literature citations. A comparison of data usage statistics and paper citations shows that PDB Web access is highly correlated with URL mentions in the text. The results reveal the trend of how authors cite a biomedical data repository and may provide useful insight of how to measure the impact of a data repository. PMID:26317409

Citing a Data Repository: A Case Study of the Protein Data Bank.

PubMed

Huang, Yi-Hung; Rose, Peter W; Hsu, Chun-Nan

2015-01-01

The Protein Data Bank (PDB) is the worldwide repository of 3D structures of proteins, nucleic acids and complex assemblies. The PDB's large corpus of data (> 100,000 structures) and related citations provide a well-organized and extensive test set for developing and understanding data citation and access metrics. In this paper, we present a systematic investigation of how authors cite PDB as a data repository. We describe a novel metric based on information cascade constructed by exploring the citation network to measure influence between competing works and apply that to analyze different data citation practices to PDB. Based on this new metric, we found that the original publication of RCSB PDB in the year 2000 continues to attract most citations though many follow-up updates were published. None of these follow-up publications by members of the wwPDB organization can compete with the original publication in terms of citations and influence. Meanwhile, authors increasingly choose to use URLs of PDB in the text instead of citing PDB papers, leading to disruption of the growth of the literature citations. A comparison of data usage statistics and paper citations shows that PDB Web access is highly correlated with URL mentions in the text. The results reveal the trend of how authors cite a biomedical data repository and may provide useful insight of how to measure the impact of a data repository.

The 100 most influential papers about cataract surgery: a bibliometric analysis.

PubMed

Lin, Ze-Nan; Chen, Jie; Zhang, Qi; Li, Qian; Cai, Min-Yun; Yang, Hai; Cui, Hong-Ping

2017-01-01

To identify the 100 most cited papers in cataract surgery, we performed a comprehensive bibliometric analysis basing on the literature search on the Thomson Reuters Web of Knowledge. The number of citations, including the total citations, latest 5y citations and average citation number per year (ACY), authorship, year of publication, major topics, journal of publication, country and institution of origin of each paper were recorded and then analyzed. Pearson's correlation analysis was conducted to evaluate the correlation between the published year and the number of citations. The correlation between journal's impact factor (IF) and number of citations was assessed as well. The most cited paper was the classic paper done by the European Society of Cataract & Refractive Surgeons (ESCRS) group. This paper focused on the topic of endophthalmitis. Not only the most cited papers originated from the USA, but also some American institutions like Johns Hopkins University, Harvard Medical School, etc. had the most citations. Pearson's correlation analysis indicated that the latest 5y citations and ACY were significantly related with the published year (5y citations: r =0.615, P <0.001; ACY: r =0.657, P <0.001), whereas no association between the total number of citations and published year was found ( r =0.045). Moreover, the IFs of journals were found to have no significant effect on the number of total citations. To our knowledge, this is the first study on the most influential papers in cataract surgery after a comprehensive research of relevant literatures. The present work may provide us concise information concerning the development history of cataract surgery over the past 66y.

The 100 most influential papers about cataract surgery: a bibliometric analysis

PubMed Central

Lin, Ze-Nan; Chen, Jie; Zhang, Qi; Li, Qian; Cai, Min-Yun; Yang, Hai; Cui, Hong-Ping

2017-01-01

AIM To identify the 100 most cited papers in cataract surgery, we performed a comprehensive bibliometric analysis basing on the literature search on the Thomson Reuters Web of Knowledge. METHODS The number of citations, including the total citations, latest 5y citations and average citation number per year (ACY), authorship, year of publication, major topics, journal of publication, country and institution of origin of each paper were recorded and then analyzed. Pearson's correlation analysis was conducted to evaluate the correlation between the published year and the number of citations. The correlation between journal's impact factor (IF) and number of citations was assessed as well. RESULTS The most cited paper was the classic paper done by the European Society of Cataract & Refractive Surgeons (ESCRS) group. This paper focused on the topic of endophthalmitis. Not only the most cited papers originated from the USA, but also some American institutions like Johns Hopkins University, Harvard Medical School, etc. had the most citations. Pearson's correlation analysis indicated that the latest 5y citations and ACY were significantly related with the published year (5y citations: r=0.615, P<0.001; ACY: r=0.657, P<0.001), whereas no association between the total number of citations and published year was found (r=0.045). Moreover, the IFs of journals were found to have no significant effect on the number of total citations. CONCLUSION To our knowledge, this is the first study on the most influential papers in cataract surgery after a comprehensive research of relevant literatures. The present work may provide us concise information concerning the development history of cataract surgery over the past 66y. PMID:29062780

Correlation between Self-Citation and Impact Factor in Iranian English Medical Journals in WoS and ISC: A Comparative Approach.

PubMed

Ghazi Mirsaeid, Seyed Javad; Motamedi, Nadia; Ramezan Ghorbani, Nahid

2015-09-01

In this study, the impact of self-citation (Journal and Author) on impact factor of Iranian English Medical journals in two international citation databases, Web of Science (WoS) and Islamic world science citation center (ISC), were compared by citation analysis. Twelve journals in WoS and 26 journals in ISC databases indexed between the years (2006-2009) were selected and compared. For comparison of self-citation rate in two databases, we used Wilcoxon and Mann-whitney tests. We used Pearson test for correlation of self-citation and IF in WoS, and the Spearman's correlation coefficient for the ISC database. Covariance analysis was used for comparison of two correlation tests. P. value was 0.05 in all of tests. There was no significant difference between self-citation rates in two databases (P>0.05). Findings also showed no significant difference between the correlation of Journal self-citation and impact factor in two databases (P=0.526) however, there was significant difference between the author's self-citation and impact factor in these databases (P<0.001). The impact of Author's self-citation in the Impact Factor of WoS was higher than the ISC.

Frequency Assignment for Joint Aerial Layer Network High-Capacity Backbone

DTIC Science & Technology

2017-08-11

Department of the Army position unless so designated by other authorized documents. Citation of manufacturer’s or trade names does not constitute an...performance of the proposed approach. Frequency Assignment, JALN, Resource Allocation, Network Optimization, Performance Evaluation 24 Peng Wang 410-278

Using Citation Analysis Methods to Assess the Influence of Science, Technology, Engineering, and Mathematics Education Evaluations

ERIC Educational Resources Information Center

Greenseid, Lija O.; Lawrenz, Frances

2011-01-01

This study explores the use of citation analysis methods to assess the influence of program evaluations conducted within the area of science, technology, engineering, and mathematics (STEM) education. Citation analysis is widely used within scientific research communities to measure the relative influence of scientific research enterprises and/or…

A Microscope or a Mirror?: A Question of Study Validity Regarding the Use of Dissertation Citation Analysis for Evaluating Research Collections

ERIC Educational Resources Information Center

Beile, Penny M.; Boote, David N.; Killingsworth, Elizabeth K.

2004-01-01

Use of dissertation citation analysis for collection evaluation was investigated. Analysis of 1842 education dissertation citations from three institutions suggests the assumption of doctoral student expertise in their use of the scholarly literature may be overstated. For purposes of developing research collections, dependence on dissertation…

How do health behaviour interventions take account of social context? A literature trend and co-citation analysis.

PubMed

Holman, Daniel; Lynch, Rebecca; Reeves, Aaron

2017-03-01

In recent years, health behaviour interventions have received a great deal of attention in both research and policy as a means of encouraging people to lead healthier lives. The emphasis of such interventions has varied over time, in terms of level of intervention (e.g. individual vs community) and drawing on different disciplinary perspectives. Recently, a number of critiques have focused on how health behaviour interventions sometimes sideline issues of social context, framing health as a matter of individual choice and, by implication, a personal responsibility. Part of this criticism is that health behaviour interventions often do not draw on alternative social science understandings of the structured and contextual aspects of behaviour and health. Yet to our knowledge, no study has attempted to empirically assess the extent to which, and in what ways, the health behaviour intervention field has paid attention to social context. In this article, we undertake this task using bibliometric techniques in order to map out the health behaviour intervention field. We find that the number of health behaviour interventions has grown rapidly in recent years, especially since around 2006, and that references to social science disciplines and concepts that foreground issues of social context are rare and, relatively speaking, constitute less of the field post 2006. More quantifiable concepts are used most, and those more close to the complexities of social context are mentioned least. The document co-citation analysis suggests that pre 2006, documents referring to social context were relatively diffuse in the network of key citations, but post 2006 this influence had largely diminished. The journal co-citation analysis shows less disciplinary overlap post 2006. At present, health behaviour interventions are continuing to focus on individualised approaches drawn from behavioural psychology and behavioural economics. Our findings lend empirical support to a number of recent papers that suggest more interdisciplinary collaboration is needed to advance the field.

[Co-author and keyword networks and their clustering appearance in preventive medicine fields in Korea: analysis of papers in the Journal of Preventive Medicine and Public Health, 1991~2006].

PubMed

Jung, Minsoo; Chung, Dongjun

2008-01-01

This study evaluated knowledge structure and its effect factor by analysis of co-author and keyword networks in Korea's preventive medicine sector. The data was extracted from 873 papers listed in the Journal of Preventive Medicine and Public Health, and was transformed into a co-author and keyword matrix where the existence of a 'link' was judged by impact factors calculated by the weight value of the role and rate of author participation. Research achievement was dependent upon the author's status and networking index, as analyzed by neighborhood degree, multidimensional scaling, correspondence analysis, and multiple regression. Co-author networks developed as randomness network in the center of a few high-productivity researchers. In particular, closeness centrality was more developed than degree centrality. Also, power law distribution was discovered in impact factor and research productivity by college affiliation. In multiple regression, the effect of the author's role was significant in both the impact factor calculated by the participatory rate and the number of listed articles. However, the number of listed articles varied by sex. This study shows that the small world phenomenon exists in co-author and keyword networks in a journal, as in citation networks. However, the differentiation of knowledge structure in the field of preventive medicine was relatively restricted by specialization.

Structures and Statistics of Citation Networks

DTIC Science & Technology

2011-05-01

the citations among them. The papers are in the field of high- energy physics, and they were added to the online library between 1992-2003. Each paper... energy , physics:astrophysics, mathematics, computer science, statistics and many others. The value of the setSpec field can be any of these. However...the value of the categories field might contain multiple set names listed. For instance, a paper can primarily be considered as a high- energy physics

Similar Pathogen Targets in Arabidopsis thaliana and Homo sapiens Protein Networks

DTIC Science & Technology

2012-09-21

Similar Pathogen Targets in Arabidopsis thaliana and Homo sapiens Protein Networks Paulo Shakarian1*, J. Kenneth Wickiser2 1 Paulo Shakarian...significantly attacked. Citation: Shakarian P, Wickiser JK (2012) Similar Pathogen Targets in Arabidopsis thaliana and Homo sapiens Protein Networks...to 00-00-2012 4. TITLE AND SUBTITLE Similar Pathogen Targets in Arabidopsis thaliana and Homo sapiens Protein Networks 5a. CONTRACT NUMBER 5b

A bibliometric analysis of occupational therapy publications.

PubMed

Brown, Ted; Gutman, Sharon A; Ho, Yuh-Shan; Fong, Kenneth N K

2018-01-01

Bibliometrics involves the statistical analysis of the publications in a specific discipline or subject area. A bibliometric analysis of the occupational therapy refereed literature is needed. A bibliometric analysis was completed of the occupational therapy literature from 1991-2014, indexed in the Science Citation Index-Expanded or the Social Sciences Citation Index. Publications were searched by title, abstract, keywords, and KeyWords Plus. Total number of article citations, citations per journal, and contributions per country, individual authors, and institution were calculated. 5,315 occupational therapy articles were published in 821 journals. It appears that there is a citation window of an approximate 10-year period between the time of publication and the peak number of citations an article receives. The top three most highly cited articles were published in Developmental Medicine and Child Neurology, JAMA, and Lancet. AJOT, BJOT and AOTJ published the largest number of occupational therapy articles with the United States, Australia, and Canada producing the highest number of publications. McMaster University, the University of Queensland, and the University of Toronto were the institutions that published the largest number of occupational therapy journal articles. The occupational therapy literature is growing and the frequency of article citation is increasing.

The highly-cited Electrocardiogram-related articles in science citation index expanded: characteristics and hotspots.

PubMed

Yang, Xianglin; Gu, Jiaojiao; Yan, Hong; Xu, Zhi; Ren, Bing; Yang, Yaming; Yang, Xiaodong; Chen, Qi; Tan, Shaohua

2014-01-01

We used bibliometric analysis methodology in the expanded Science Citation Index to identify highly-cited electrocardiogram (ECG)-related articles with total citations (TC2012) exceeding 100 from the publication year to 2012. Web of Science search tools were used to identify the highly-cited articles. The aspects analyzed for highly cited publications included effect of time on citation analysis, journals and Web of Science categories, number of authors per publication, originating institutions and countries, total citation and total citation per year life cycles of articles (C2012) and research hotspots. Results showed that a total of 467 electrocardiogram-related publications were regarded as the highly-cited publications. TC2012 ranged from 101 to 2879, with 215 as the average number of citations. No highly-cited publications have emerged yet during the first two years of the present 2010 Decade. All 11 countries and institutions originating highly-cited ECG-related publications were developed countries, USA in 9 of them. Four subject categories were identified as hotspots by total citations TC2012 and C2012: atrial fibrillation, long QT syndrome, angina and myocardial infarction, and risk factor analysis and health evaluation. Copyright © 2014 Elsevier Inc. All rights reserved.

Reprint of "Citation analysis as a measure of article quality, journal influence and individual researcher performance".

PubMed

Nightingale, Julie M; Marshall, Gill

2013-09-01

The research-related performance of universities, as well as that of individual researchers, is increasingly evaluated through the use of objective measures, or metrics, which seek to support or in some cases even replace more traditional methods of peer review. In particular there is a growing awareness in research communities, government organisations and funding bodies around the concept of using evaluation metrics to analyse research citations. The tools available for 'citation analysis' are many and varied, enabling a quantification of scientific quality, academic impact and prestige. However there is increasing concern regarding the potential misuse of such tools, which have limitations in certain research disciplines.This article uses 'real world' examples from radiography research and scholarship to illustrate the range of currently available citation analysis tools. It explores the academic debate surrounding their strengths and limitations, and identifies the potential impact of citation analysis on the radiography research community.The article concludes that citation analysis is a valuable tool for researchers to use for personal reflection and research planning, yet there are inherent dangers if it is used inappropriately. Whilst citation analysis can give objective information regarding an individual, research group, journal or higher education institution, it should not be used as a total substitute for traditional qualitative review and peer assessment. Copyright © 2013 Elsevier Ltd. All rights reserved.

Characteristics of Education Doctoral Dissertation References: An Inter-Institutional Analysis of Review of Literature Citations.

ERIC Educational Resources Information Center

Beile, Penny M.; Boote, David N.; Killingsworth, Elizabeth K.

This study had two purposes: to examine the expertise of doctoral students in their use of the scholarly literature and to investigate the use of citation analysis as a tool for collection development. Analysis of 1,842 coded citations gleaned from 30 education dissertations awarded in 2000 from 3 institutions in the United States revealed that…

Impact of Wikipedia on citation trends

PubMed Central

Marashi, Sayed-Amir; Hosseini-Nami, Seyed Mohammad Amin; Alishah, Khadijeh; Hadi, Mahdieh; Karimi, Ali; Hosseinian, Saeedeh; Ramezanifard, Rouhallah; Mirhassani, Reihaneh Sadat; Hosseini, Zhaleh; Shojaie, Zahra

2013-01-01

It has been suggested that the “visibility” of an article influences its citation count. More specifically, it is believed that the social media can influence article citations.Here we tested the hypothesis that inclusion of scholarly references in Wikipedia affects the citation trends. To perform this analysis, we introduced a citation “propensity” measure, which is inspired by the concept of amino acid propensity for protein secondary structures. We show that although citation counts generally increase during time, the citation “propensity” does not increase after inclusion of a reference in Wikipedia. PMID:27034629

Correlation between Self-Citation and Impact Factor in Iranian English Medical Journals in WoS and ISC: A Comparative Approach

PubMed Central

GHAZI MIRSAEID, Seyed Javad; MOTAMEDI, Nadia; RAMEZAN GHORBANI, Nahid

2015-01-01

Background: In this study, the impact of self-citation (Journal and Author) on impact factor of Iranian English Medical journals in two international citation databases, Web of Science (WoS) and Islamic world science citation center (ISC), were compared by citation analysis. Methods: Twelve journals in WoS and 26 journals in ISC databases indexed between the years (2006–2009) were selected and compared. For comparison of self-citation rate in two databases, we used Wilcoxon and Mann-whitney tests. We used Pearson test for correlation of self-citation and IF in WoS, and the Spearman’s correlation coefficient for the ISC database. Covariance analysis was used for comparison of two correlation tests. P. value was 0.05 in all of tests. Results: There was no significant difference between self-citation rates in two databases (P>0.05). Findings also showed no significant difference between the correlation of Journal self-citation and impact factor in two databases (P=0.526) however, there was significant difference between the author’s self-citation and impact factor in these databases (P<0.001). Conclusion: The impact of Author’s self-citation in the Impact Factor of WoS was higher than the ISC. PMID:26587498

[Analysis of citations referenced in articles published in Chinese Journal of Integrated Traditional and Western Medicine from 2001 to 2004].

PubMed

Zhang, Jing-hai; Liang, Li

2006-05-01

To investigate the referential rule and the informative absorbing capacity of the Chinese Journal of Integrated Traditional and Western Medicine (CJITWM), and analyze the characteristics of literature requirement of scientists working in integrated Chinese and Western medicine (ICWM) field offering suggestions on literary utilization. Citation analysis was used to analyze the references cited in 1825 articles published in CJIM from 2001 to 2004 according to their time sequence of publishing. The citation rate was 53.64%, and 9.51% citations per article. Most of the citations were mainly cited from journals (85.38%) and books (13.4%). The Price Index was 49.22%, and the self-citation rate for author and periodical were 3.63% and 7.77% respectively. CJITWM is a highly authorized and representative professional academic periodical in the field of ICWM. The citations are mainly cited from periodicals written in Chinese or English, they are of good novelty and quality, but the citation rate should be further improved.

Dynamics of hate based Internet user networks

NASA Astrophysics Data System (ADS)

Sobkowicz, P.; Sobkowicz, A.

2010-02-01

We present a study of the properties of network of political discussions on one of the most popular Polish Internet forums. This provides the opportunity to study the computer mediated human interactions in strongly bipolar environment. The comments of the participants are found to be mostly disagreements, with strong percentage of invective and provocative ones. Binary exchanges (quarrels) play significant role in the network growth and topology. Statistical analysis shows that the growth of the discussions depends on the degree of controversy of the subject and the intensity of personal conflict between the participants. This is in contrast to most previously studied social networks, for example networks of scientific citations, where the nature of the links is much more positive and based on similarity and collaboration rather than opposition and abuse. The work discusses also the implications of the findings for more general studies of consensus formation, where our observations of increased conflict contradict the usual assumptions that interactions between people lead to averaging of opinions and agreement.

Mapping the literature of pediatric nursing.

PubMed

Taylor, Mary K

2006-04-01

Pediatric nurses work in an interdisciplinary field and face ever-increasing demands on their time and knowledge. Selection tools for librarians serving this group are available, but only one bibliometric analysis has examined citations to aid collection development. The "Mapping the Literature of Nursing Project" protocol was used. Three source journals were selected, and a citation analysis of articles from 1998 to 2000 was conducted. The frequency of journal citation was tabulated, and a list of the most frequently cited journals was created. Just over 1% of the cited journals produced 33% of the citations. PubMed/MEDLINE, Science Citation Index, and Social Sciences Citation Index provided the most complete indexing coverage of all types of the journals, while CINAHL providing the most complete coverage of nursing journals. Books were the second-most frequently cited format. Citation analysis of journal articles from pediatric nursing journals may be helpful in selecting journals for libraries serving pediatric nurses and those who conduct pediatric nursing research. Librarians should consider adding indexes to their collection in addition to PubMed/MEDLINE to access the broad range of journals useful to this specialty.

Identifying Anomalous Citations for Objective Evaluation of Scholarly Article Impact.

PubMed

Bai, Xiaomei; Xia, Feng; Lee, Ivan; Zhang, Jun; Ning, Zhaolong

2016-01-01

Evaluating the impact of a scholarly article is of great significance and has attracted great attentions. Although citation-based evaluation approaches have been widely used, these approaches face limitations e.g. in identifying anomalous citations patterns. This negligence would inevitably cause unfairness and inaccuracy to the article impact evaluation. In this study, in order to discover the anomalous citations and ensure the fairness and accuracy of research outcome evaluation, we investigate the citation relationships between articles using the following factors: collaboration times, the time span of collaboration, citing times and the time span of citing to weaken the relationship of Conflict of Interest (COI) in the citation network. Meanwhile, we study a special kind of COI, namely suspected COI relationship. Based on the COI relationship, we further bring forward the COIRank algorithm, an innovative scheme for accurately assessing the impact of an article. Our method distinguishes the citation strength, and utilizes PageRank and HITS algorithms to rank scholarly articles comprehensively. The experiments are conducted on the American Physical Society (APS) dataset. We find that about 80.88% articles contain contributed citations by co-authors in 26,366 articles and 75.55% articles among these articles are cited by the authors belonging to the same affiliation, indicating COI and suspected COI should not be ignored for evaluating impact of scientific papers objectively. Moreover, our experimental results demonstrate COIRank algorithm significantly outperforms the state-of-art solutions. The validity of our approach is verified by using the probability of Recommendation Intensity.

Moving towards persistent identification in the seismological community

NASA Astrophysics Data System (ADS)

Quinteros, Javier; Evans, Peter; Strollo, Angelo; Ulbricht, Damian; Elger, Kirsten; Bertelmann, Roland

2016-04-01

The GEOFON data centre and others in the seismological community have been archiving seismic waveforms for many years. The amount of seismic data available continuously increases due to the use of higher sampling rates and the growing number of stations. In recent years, there is a trend towards standardization of the protocols and formats to improve and homogenise access to these data [FDSN, 2013]. The seismological community has begun assigning a particular persistent identifier (PID), the Digital Object Identifier (DOI), to seismic networks as a first step for properly and consistently attributing the use of data from seismic networks in scientific articles [Evans et al., 2015]. This was codified in a recommendation by the international Federation of Digital Seismic Networks [FDSN, 2014]; DOIs for networks now appear in community web pages. However, our community, in common with other fields of science, still struggles with issues such as: supporting reproducibility of results; providing proper attribution (data citation) for data sets; and measuring the impact (by tracking their use) of, those data sets. Seismological data sets used for research are frequently created "on-the-fly" based on particular user requirements such as location or time period; users prepare requests to select subsets of the data held in seismic networks; the data actually provided may even be held at many different data centres [EIDA, 2016]. These subsets also require careful citation. For persistency, a request must receive exactly the same data when repeated at a later time. However, if data are curated between requests, the data set delivered may differ, severely complicating the ability to reproduce a result. Transmission problems or configuration problems may also inadvertently modify the response to a request. With this in mind, our next step is the assignment of additional EPIC-PIDs to daily data files (currently over 28 million in the GEOFON archive) for use within the data centre. These will be used for replication and versioning of the data. This will support reproducible, fine-grained citation of seismic waveform data in a consistent fashion. Moreover, we plan to create also PIDs for collections of PIDs, in order to support the citation of a set of many data files with a single identifier. The technical information describing the instruments used to acquire the data and their location will most probably be also identified with a PID (to a StationXML record) and pointed to from the metadata of the waveform PID. StationXML will also include the DOI of the network for citation purposes. With all these elements, progress towards reproducibility and better attribution are gained. References - EIDA (2016): European Integrated Data Archive (EIDA) . http://www.orfeus-eu.org/eida/eida.html - Evans, P., Strollo, A., Clark, A., Ahern, T., Newman, R., Clinton, J. F., Pedersen, H., Pequegnat, C. (2015 online): Why Seismic Networks Need Digital Object Identifiers. - Eos, Transactions American Geophysical Union, 96. http://doi.org/10.1029/2015EO036971 - International Federation of Digital Seismograph Networks (FDSN) (2013): FDSN Web Service Specifications, Version 1.1b, 2013/10/25. http://www.fdsn.org/webservices/FDSN-WS-Specifications-1.1.pdf - International Federation of Digital Seismograph Networks (FDSN) (2014), FDSN recommendations for seismic network DOIs and related FDSN services [WG3 recommendation], http://doi.org/10.7914/D11596.

Analysis of Scifinder Scholar and Web of Science Citation Searches.

ERIC Educational Resources Information Center

Whitley, Katherine M.

2002-01-01

With "Chemical Abstracts" and "Science Citation Index" both now available for citation searching, this study compares the duplication and uniqueness of citing references for works of chemistry researchers for the years 1999-2001. The two indexes cover very similar source material. This analysis of SciFinder Scholar and Web of…

Citation Analysis of "Geochimica et Cosmochimica Acta," 1951-1960.

ERIC Educational Resources Information Center

Lifshin, Arthur

1993-01-01

A citation analysis of the first 10 years of "Geochimica et Cosmochimica Acta" from 1951 to 1960 is described. A shift from German to English language citations and the emerging importance of the journal in the field, which is undergoing a change resulting from technological innovation, are shown. Tables and graphs are included. (EAM)

LGBTQ Studies and Interdisciplinarity: A Citation Analysis of Master's Theses

ERIC Educational Resources Information Center

Graziano, Vince

2018-01-01

Emergent programs or newly established areas of study are often viewed as interdisciplinary. But how is interdisciplinarity defined or measured? The identification of research methods and the selection of objects of inquiry are significant elements in this definition. Citation analysis, however, also plays a role. Citation patterns in master's…

Government Publications as Bibliographic References in the Periodical Literature of International Relations: A Citation Analysis.

ERIC Educational Resources Information Center

Brill, Margaret S.

1990-01-01

Describes a study that used citation analysis to identify the government publications cited in international relations journals for 1964, 1974, and 1984. U.S. government, foreign government, and international organization publications and documents are compared by citation rate; implications for collection development in libraries are discussed;…

Rankings and Trends in Citation Patterns of Communication Journals

ERIC Educational Resources Information Center

Levine, Timothy R.

2010-01-01

Journal citations are increasingly used as indicators of the impact of scholarly work. Because many communication journals are not included in the Social Science Citation Index (SSCI), SSCI impact factors are potentially misleading for communication journals. The current paper reports a citation analysis of 30 communication journals based on…

The study of co-citation analysis and knowledge structure on healthcare domain

NASA Astrophysics Data System (ADS)

Chu, Kuo-Chung; Liu, Wen-I.; Tsai, Ming-Yu

2012-11-01

With the prevalence of Internet and digital archives, the online e-journal database facilitates scholars to search literature in a research domain, or to cross-search an inter-disciplined field; the key literature can be efficiently traced out. This study intends to build a Web-based citation analysis system, which consists of four modules, they are: 1) literature search module; (2) statistics module; (3) articles analysis module; and (4) co-citation analysis module. The system focuses on PubMed Central dataset that has 170,000 records. In a research domain, a specific keyword searches in terms of authors, journals, and core issues. In addition, we use data mining techniques for co-citation analysis. The results assist researchers with in-depth understanding of the domain knowledge. Having an automated system for co-citation analysis, it helps to understand changes, trends, and knowledge structure of research domain. For the best of our knowledge, the proposed system differentiates from existing online electronic retrieval database analysis function. Perhaps, the proposed system is going to be a value-added database of healthcare domain, and hope to contribute the researchers.

Opinion formation driven by PageRank node influence on directed networks

NASA Astrophysics Data System (ADS)

Eom, Young-Ho; Shepelyansky, Dima L.

2015-10-01

We study a two states opinion formation model driven by PageRank node influence and report an extensive numerical study on how PageRank affects collective opinion formations in large-scale empirical directed networks. In our model the opinion of a node can be updated by the sum of its neighbor nodes' opinions weighted by the node influence of the neighbor nodes at each step. We consider PageRank probability and its sublinear power as node influence measures and investigate evolution of opinion under various conditions. First, we observe that all networks reach steady state opinion after a certain relaxation time. This time scale is decreasing with the heterogeneity of node influence in the networks. Second, we find that our model shows consensus and non-consensus behavior in steady state depending on types of networks: Web graph, citation network of physics articles, and LiveJournal social network show non-consensus behavior while Wikipedia article network shows consensus behavior. Third, we find that a more heterogeneous influence distribution leads to a more uniform opinion state in the cases of Web graph, Wikipedia, and Livejournal. However, the opposite behavior is observed in the citation network. Finally we identify that a small number of influential nodes can impose their own opinion on significant fraction of other nodes in all considered networks. Our study shows that the effects of heterogeneity of node influence on opinion formation can be significant and suggests further investigations on the interplay between node influence and collective opinion in networks.

[Analysis on quotations in the articles issued in Chinese Acupuncture & Moxibustion from 2000 to 2006].

PubMed

Chen, Wen; Huang, Juan; Huang, Ai-Ming

2007-10-01

To investigate the quoted regular patterns for the quotations and informative absorbing capability of the Chinese Acupuncture & Moxibustion, and analyze the characteristics of literature requirement of scientific researcher and clinical workers in the acupuncture and moxibustion field, so as to offer suggestion on literature utilization and provide references to development of the Chinese Acupuncture & Moxibustion. Bibliometrical Citation analysis was used to analyze the references cited from 2000 to 2006 according to the time sequence of publishing. The citation rate was 76.6%, and citations per article was 4.3. Most of the citations were mainly cited from journals (82.0%) and books (17.2%). The Price Index was 43.7%, and the self-citation rates for author and periodical were 16.3% and 9.1% respectively. The citations from the high-ranked 10 journals were accounted for 31.4% of all citations. Chinese Acupuncture & Moxibustion is a highly authorized academic periodical in the field of acupuncture and moxibustion. The citations are mainly cited from periodicals written in Chinese and English. They are of good novelty and quality, but the citation rate should be further raised.

An exploratory analysis of PubMed's free full-text limit on citation retrieval for clinical questions.

PubMed

Krieger, Mary M; Richter, Randy R; Austin, Tricia M

2008-10-01

The research sought to determine (1) how use of the PubMed free full-text (FFT) limit affects citation retrieval and (2) how use of the FFT limit impacts the types of articles and levels of evidence retrieved. Four clinical questions based on a research agenda for physical therapy were searched in PubMed both with and without the use of the FFT limit. Retrieved citations were examined for relevancy to each question. Abstracts of relevant citations were reviewed to determine the types of articles and levels of evidence. Descriptive analysis was used to compare the total number of citations, number of relevant citations, types of articles, and levels of evidence both with and without the use of the FFT limit. Across all 4 questions, the FFT limit reduced the number of citations to 11.1% of the total number of citations retrieved without the FFT limit. Additionally, high-quality evidence such as systematic reviews and randomized controlled trials were missed when the FFT limit was used. Health sciences librarians play a key role in educating users about the potential impact the FFT limit has on the number of citations, types of articles, and levels of evidence retrieved.

Social Gerontology--Integrative and Territorial Aspects: A Citation Analysis of Subject Scatter and Database Coverage

ERIC Educational Resources Information Center

Lasda Bergman, Elaine M.

2011-01-01

To determine the mix of resources used in social gerontology research, a citation analysis was conducted. A representative sample of citations was selected from three prominent gerontology journals and information was added to determine subject scatter and database coverage for the cited materials. Results indicate that a significant portion of…

Citation Analysis: A Case Study of Korean Scientists and Engineers in Electrical and Electronics Engineering.

ERIC Educational Resources Information Center

Rieh, Hae-young

1993-01-01

Describes a study that investigated the citation patterns of publications by scientists and engineers in electrical and electronics engineering in Korea. Citation behavior of personnel in government, universities, and industry is compared; and citation patterns from articles in Korean and non-Korean publications are contrasted. (Contains 27…

Citation Ranking versus Peer Evaluation of Senior Faculty Research Performance: A Case Study of Kurdish Scholarship.

ERIC Educational Resources Information Center

Meho, Lokman I.; Sonnenwald, Diane H.

2000-01-01

Analyzes the relationship between citation ranking and peer evaluation in assessing senior faculty research performance. Describes a study of faculty specializing in Kurdish studies that investigated to what degree citation ranking correlates with data from citation content analysis, book reviews, and peer ranking. (Contains 72 references.)…

Visualization analysis of author collaborations in schizophrenia research.

PubMed

Wu, Ying; Duan, Zhiguang

2015-02-19

Schizophrenia is a serious mental illness that levies a heavy medical toll and cost burden throughout the world. Scientific collaborations are necessary for progress in psychiatric research. However, there have been few publications on scientific collaborations in schizophrenia. The aim of this study was to investigate the extent of author collaborations in schizophrenia research. This study used 58,107 records on schizophrenia from 2003 to 2012 which were downloaded from Science Citation Index Expanded (SCI Expanded) via Web of Science. CiteSpace III, an information visualization and analysis software, was used to make a visual analysis. Collaborative author networks within the field of schizophrenia were determined using published documents. We found that external author collaboration networks were more scattered while potential author collaboration networks were more compact. Results from hierarchical clustering analysis showed that the main collaborative field was genetic research in schizophrenia. Based on the results, authors belonging to different institutions and in different countries should be encouraged to collaborate in schizophrenia research. This will help researchers focus their studies on key issues, and allow each other to offer reasonable suggestions for making polices and providing scientific evidence to effectively diagnose, prevent, and cure schizophrenia.

Mapping the literature of pediatric nursing

PubMed Central

Taylor, Mary K.

2006-01-01

Background: Pediatric nurses work in an interdisciplinary field and face ever-increasing demands on their time and knowledge. Selection tools for librarians serving this group are available, but only one bibliometric analysis has examined citations to aid collection development. Method: The “Mapping the Literature of Nursing Project” protocol was used. Three source journals were selected, and a citation analysis of articles from 1998 to 2000 was conducted. Results: The frequency of journal citation was tabulated, and a list of the most frequently cited journals was created. Just over 1% of the cited journals produced 33% of the citations. PubMed/MEDLINE, Science Citation Index, and Social Sciences Citation Index provided the most complete indexing coverage of all types of the journals, while CINAHL providing the most complete coverage of nursing journals. Books were the second-most frequently cited format. Conclusions: Citation analysis of journal articles from pediatric nursing journals may be helpful in selecting journals for libraries serving pediatric nurses and those who conduct pediatric nursing research. Librarians should consider adding indexes to their collection in addition to PubMed/MEDLINE to access the broad range of journals useful to this specialty. PMID:16710459

The impact of article length on the number of future citations: a bibliometric analysis of general medicine journals.

PubMed

Falagas, Matthew E; Zarkali, Angeliki; Karageorgopoulos, Drosos E; Bardakas, Vangelis; Mavros, Michael N

2013-01-01

The number of citations received is considered an index of study quality and impact. We aimed to examine the factors associated with the number of citations of published articles, focusing on the article length. Original human studies published in the first trimester of 2006 in 5 major General Medicine journals were analyzed with regard to the number of authors and of author-affiliated institutions, title and abstract word count, article length (number of print pages), number of bibliographic references, study design, and 2006 journal impact factor (JIF). A multiple linear regression model was employed to identify the variables independently associated with the number of article citations received through January 2012. On univariate analysis the JIF, number of authors, article length, study design (interventional/observational and prospective/retrospective), title and abstract word count, number of author-affiliated institutions, and number of references were all associated with the number of citations received. On multivariate analysis with the logarithm of citations as the dependent variable, only article length [regression coefficient: 14.64 (95% confidence intervals: (5.76-23.50)] and JIF [3.37 (1.80-4.948)] independently predicted the number of citations. The variance of citations explained by these parameters was 51.2%. In a sample of articles published in major General Medicine journals, in addition to journal impact factors, article length and number of authors independently predicted the number of citations. This may reflect a higher complexity level and quality of longer and multi-authored studies.

The Temporal Structure of Scientific Consensus Formation

PubMed Central

Shwed, Uri; Bearman, Peter S.

2011-01-01

This article engages with problems that are usually opaque: What trajectories do scientific debates assume, when does a scientific community consider a proposition to be a fact, and how can we know that? We develop a strategy for evaluating the state of scientific contestation on issues. The analysis builds from Latour’s black box imagery, which we observe in scientific citation networks. We show that as consensus forms, the importance of internal divisions to the overall network structure declines. We consider substantive cases that are now considered facts, such as the carcinogenicity of smoking and the non-carcinogenicity of coffee. We then employ the same analysis to currently contested cases: the suspected carcinogenicity of cellular phones, and the relationship between vaccines and autism. Extracting meaning from the internal structure of scientific knowledge carves a niche for renewed sociological commentary on science, revealing a typology of trajectories that scientific propositions may experience en route to consensus. PMID:21886269

Mapping cross-border collaboration and communication in cardiovascular research from 1992 to 2012

PubMed Central

Gal, Diane; Glänzel, Wolfgang; Sipido, Karin R.

2017-01-01

Aims The growing burden of cardiovascular disease requires growth in research and innovation. We examine world-wide participation and citation impact across the cardiovascular research landscape from 1992 to 2012; we investigate cross-fertilization between countries and examine whether cross-border collaboration affects impact. Methods and Results State-of-the-art bibliometric methods and indicators are used to identify cardiovascular publications from the Web of Science, and to map trends over time in output, citation impact, and collaboration. The publication output in cardiovascular research has grown steadily from 1992 to 2012 with increased participation worldwide. China has the highest growth as relative share. The USA share initially predominated yet has reduced steadily. Over time, the EU-27 supra-national region has increased its participation above the USA, though on average it has not had greater citation impact than the USA. However, a number of European countries, as well as Australia and Canada, have improved their absolute and relative citation impact above that of the USA by 2006–2012. Europe is a hub of cross-fertilization with strengthening collaborations and strong citation links; the UK, Germany, and France remain central in this network. The USA has the highest number of strong citation links with other countries. All countries, but especially smaller, highly collaborative countries, have higher citation impact for their internationally collaborative research when compared with their domestic publications. Conclusion Participation in cardiovascular research is growing but growth and impact show wide variability between countries. Cross-border collaboration is increasing, in particular within the EU, and is associated with greater citation impact. PMID:27997881

A Technique of Two-Stage Clustering Applied to Environmental and Civil Engineering and Related Methods of Citation Analysis.

ERIC Educational Resources Information Center

Miyamoto, S.; Nakayama, K.

1983-01-01

A method of two-stage clustering of literature based on citation frequency is applied to 5,065 articles from 57 journals in environmental and civil engineering. Results of related methods of citation analysis (hierarchical graph, clustering of journals, multidimensional scaling) applied to same set of articles are compared. Ten references are…

African American Faculty in Social Work Schools: A Citation Analysis of Scholarship

ERIC Educational Resources Information Center

Huggins-Hoyt, Kimberly Y.

2018-01-01

Purpose: This study assessed the research productivity of African American faculty in the top 25 ranked schools of social work cited in the 2012 U.S. News and World Report. Method: Four citation metrics ("h"-index, "g"-index, age-weighted citation rate, and per author age-weighted citation rate) were examined. Results: Scholar…

Causes of Low and High Citation Potentials in Science: Citation Analysis of Biochemistry and Plant Physiology Journals.

ERIC Educational Resources Information Center

Marton, Janos

1983-01-01

Citation data of 16 biochemistry and plant physiology journals show that reasons for lower citation potentials of plant physiology articles are: (1) readership is narrower for plant physiology journals; (2) plant physiologists can cite fewer thematically relevant new articles; and (3) plant physiology research fields are more isolated. References…

A Large-Scale Analysis of Impact Factor Biased Journal Self-Citations.

PubMed

Chorus, Caspar; Waltman, Ludo

2016-01-01

Based on three decades of citation data from across scientific fields of science, we study trends in impact factor biased self-citations of scholarly journals, using a purpose-built and easy to use citation based measure. Our measure is given by the ratio between i) the relative share of journal self-citations to papers published in the last two years, and ii) the relative share of journal self-citations to papers published in preceding years. A ratio higher than one suggests that a journal's impact factor is disproportionally affected (inflated) by self-citations. Using recently reported survey data, we show that there is a relation between high values of our proposed measure and coercive journal self-citation malpractices. We use our measure to perform a large-scale analysis of impact factor biased journal self-citations. Our main empirical result is, that the share of journals for which our measure has a (very) high value has remained stable between the 1980s and the early 2000s, but has since risen strongly in all fields of science. This time span corresponds well with the growing obsession with the impact factor as a journal evaluation measure over the last decade. Taken together, this suggests a trend of increasingly pervasive journal self-citation malpractices, with all due unwanted consequences such as inflated perceived importance of journals and biased journal rankings.

A bibliometric analysis of the published road traffic injuries research in India, post-1990.

PubMed

Sharma, Neeraj; Bairwa, Mohan; Gowthamghosh, B; Gupta, S D; Mangal, D K

2018-03-01

Globally, road traffic injuries are the leading cause of death among those aged 15-29 years. However, road traffic injury research has not received adequate attention from the scientific community in low- and middle-income countries, including India. The present study aims to provide a bibliometric overview of research assessing road traffic injuries in India. We used Scopus to extract relevant research in road traffic injuries published from 1991 to 2017. This study presented the key bibliometric indicators such as trends of annual publications and citations, top 10 authors, journals, institutions and highly cited articles, citation analysis of articles, co-occurrence of keywords, etc. Analysis was performed using Scopus, Microsoft Excel, and VOS-viewer. A total of 242 articles were retrieved with an h-index of 18, excluding self-citations. A steadfast growth of publications was documented in last decade, especially after the year 2010. The h-index of the top 10 authors, institutions, journals and highly cited articles did not surpass single digits. A network visualisation map showed that 'traffic accident', 'male', 'adolescent' and 'child' were the most commonly encountered key terms. The prominent authors were Gururaj G, Dandona R, and Hyder AA, whereas the top journals were the Indian Journal of Forensic Medicine and Toxicology, Medico Legal Update, and the International Journal of Applied Engineering Research and top institutions were the All India Institute of Medical Sciences, New Delhi, the Indian Institute of Technology, Delhi, and the Administrative Staff College of India. In India, road traffic injuries research is inadequate in quantity and quality, warranting greater attention from researchers and policy planners to address the burden of road traffic injuries.

The physics of complex systems in information and biology

NASA Astrophysics Data System (ADS)

Walker, Dylan

Citation networks have re-emerged as a topic intense interest in the complex networks community with the recent availability of large-scale data sets. The ranking of citation networks is a necessary practice as a means to improve information navigability and search. Unlike many information networks, the aging characteristics of citation networks require the development of new ranking methods. To account for strong aging characteristics of citation networks, we modify the PageRank algorithm by initially distributing random surfers exponentially with age, in favor of more recent publications. The output of this algorithm, which we call CiteRank, is interpreted as approximate traffic to individual publications in a simple model of how researchers find new information. We optimize parameters of our algorithm to achieve the best performance. The results are compared for two rather different citation networks: all American Physical Society publications between 1893-2003 and the set of high-energy physics theory (hep-th) preprints. Despite major differences between these two networks, we find that their optimal parameters for the CiteRank algorithm are remarkably similar. The advantages and performance of CiteRank over more conventional methods of ranking publications are discussed. Collaborative voting systems have emerged as an abundant form of real-world, complex information systems that exist in a variety of online applications. These systems are comprised of large populations of users that collectively submit and vote on objects. While the specific properties of these systems vary widely, many of them share a core set of features and dynamical behaviors that govern their evolution. We study a subset of these systems that involve material of a time-critical nature as in the popular example of news items. We consider a general model system in which articles are introduced, voted on by a population of users, and subsequently expire after a proscribed period of time. To study the interaction between popularity and quality, we introduce simple stochastic models of user behavior that approximate differing user quality and susceptibility to the common notion of popularity. We define a metric to quantify user reputation in a manner that is self-consistent, adaptable and content-blind and shows good correlation with the probability that a user behaves in an optimal fashion. We further construct a mechanism for ranking documents that take into account user reputation and provides substantial improvement in the time-critical performance of the system. The structure of complex systems have been well studied in the context of both information and biological systems. More recently, dynamics in complex systems that occur over the background of the underlying network has received a great deal of attention. In particular, the study of fluctuations in complex systems has emerged as an issue central to understanding dynamical behavior. We approach the problem of collective effects of the underlying network on dynamical fluctuations by considering the protein-protein interaction networks for the system of the living cell. We consider two types of fluctuations in the mass-action equilibrium in protein binding networks. The first type is driven by relatively slow changes in total concentrations (copy numbers) of interacting proteins. The second type, to which we refer to as spontaneous, is caused by quickly decaying thermodynamic deviations away from the mass-action equilibrium of the system. As such they are amenable to methods of equilibrium statistical mechanics used in our study. We investigate the effects of network connectivity on these fluctuations by comparing them to different scenarios in which the interacting pair is isolated form the rest of the network. Such comparison allows us to analytically derive upper and lower bounds on network fluctuations. The collective effects are shown to sometimes lead to relatively large amplification of spontaneous fluctuations as compared to the expectation for isolated dimers. As a consequence of this, the strength of both types of fluctuations is positively correlated with the overall network connectivity of proteins forming the complex. On the other hand, the relative amplitude of fluctuations is negatively correlated with the equilibrium concentration of the complex. Our general findings are illustrated using a curated network of protein-protein interactions and multi-protein complexes in bakers yeast with experimentally determined protein concentrations.

Self-citations at the meso and individual levels: effects of different calculation methods.

PubMed

Costas, Rodrigo; van Leeuwen, Thed N; Bordons, María

2010-03-01

This paper focuses on the study of self-citations at the meso and micro (individual) levels, on the basis of an analysis of the production (1994-2004) of individual researchers working at the Spanish CSIC in the areas of Biology and Biomedicine and Material Sciences. Two different types of self-citations are described: author self-citations (citations received from the author him/herself) and co-author self-citations (citations received from the researchers' co-authors but without his/her participation). Self-citations do not play a decisive role in the high citation scores of documents either at the individual or at the meso level, which are mainly due to external citations. At micro-level, the percentage of self-citations does not change by professional rank or age, but differences in the relative weight of author and co-author self-citations have been found. The percentage of co-author self-citations tends to decrease with age and professional rank while the percentage of author self-citations shows the opposite trend. Suppressing author self-citations from citation counts to prevent overblown self-citation practices may result in a higher reduction of citation numbers of old scientists and, particularly, of those in the highest categories. Author and co-author self-citations provide valuable information on the scientific communication process, but external citations are the most relevant for evaluative purposes. As a final recommendation, studies considering self-citations at the individual level should make clear whether author or total self-citations are used as these can affect researchers differently.

An exploratory analysis of PubMed's free full-text limit on citation retrieval for clinical questions

PubMed Central

Krieger, Mary M.; Richter, Randy R.; Austin, Tricia M.

2008-01-01

Objective: The research sought to determine (1) how use of the PubMed free full-text (FFT) limit affects citation retrieval and (2) how use of the FFT limit impacts the types of articles and levels of evidence retrieved. Methods: Four clinical questions based on a research agenda for physical therapy were searched in PubMed both with and without the use of the FFT limit. Retrieved citations were examined for relevancy to each question. Abstracts of relevant citations were reviewed to determine the types of articles and levels of evidence. Descriptive analysis was used to compare the total number of citations, number of relevant citations, types of articles, and levels of evidence both with and without the use of the FFT limit. Results: Across all 4 questions, the FFT limit reduced the number of citations to 11.1% of the total number of citations retrieved without the FFT limit. Additionally, high-quality evidence such as systematic reviews and randomized controlled trials were missed when the FFT limit was used. Conclusions: Health sciences librarians play a key role in educating users about the potential impact the FFT limit has on the number of citations, types of articles, and levels of evidence retrieved. PMID:18974812

Fragments of peer review: A quantitative analysis of the literature (1969-2015)

PubMed Central

Grimaldo, Francisco; Marušić, Ana

2018-01-01

This paper examines research on peer review between 1969 and 2015 by looking at records indexed from the Scopus database. Although it is often argued that peer review has been poorly investigated, we found that the number of publications in this field doubled from 2005. A half of this work was indexed as research articles, a third as editorial notes and literature reviews and the rest were book chapters or letters. We identified the most prolific and influential scholars, the most cited publications and the most important journals in the field. Co-authorship network analysis showed that research on peer review is fragmented, with the largest group of co-authors including only 2.1% of the whole community. Co-citation network analysis indicated a fragmented structure also in terms of knowledge. This shows that despite its central role in research, peer review has been examined only through small-scale research projects. Our findings would suggest that there is need to encourage collaboration and knowledge sharing across different research communities. PMID:29466467

Board on Research Data and Information

DOE Office of Scientific and Technical Information (OSTI.GOV)

Sztein, A. Ester; Boright, John

2015-08-14

The Board on Research Data and Information (BRDI) has planned and undertaken numerous activities regarding data citation, attribution, management, policy, publishing, centers, access, curation, sharing, and infrastructure; and international collaboration and cooperation. Some of these activities resulted in National Research Council reports (For Attribution: Developing Data Attribution and Citation Practices and Standards (2012), The Case for International Scientific Data Sharing: A Focus on Developing Countries (2012), and The Future of Scientific Knowledge Discovery in Open Networked Environments (2012); and a peer-reviewed paper (Out of Cite, Out of Mind: The Current State of Practice, Policy, and Technology for the Citation ofmore » Data, 2013). BRDI held symposia, workshops and sessions in the U.S. and abroad on diverse topics such as global scientific data infrastructures, discovery of data online, privacy in a big data world, and data citation principles, among other timely data-related subjects. In addition, BRDI effects the representation of the United States before the International Council for Science’s International Committee on Data for Science and Technology (CODATA).« less

Secondary and Tertiary Citing: A Study of Referencing Behavior in the Literature of Citation Analysis Deriving from the Ortega Hypothesis of Cole and Cole.

ERIC Educational Resources Information Center

Hoerman, Heidi Lee; Nowicke, Carole Elizabeth

1995-01-01

Examines documents and citations relating to literature of the Ortega Hypothesis, reviews citing behaviors and errors of individual citations, and includes analysis of the occurrences of secondary and tertiary citing. Findings show there is little evidence to prove that secondary and tertiary citing is not occurring and suggests that further…

The Citation Landscape of Scholarly Literature in LGBT Studies: A Snapshot for Subject Librarians

ERIC Educational Resources Information Center

Antell, Karen

2012-01-01

This paper reports the results of a citation analysis of the scholarly literature of LGBT Studies. EBSCO's LGBT Life database was used to gather a sample of 4,321 citations from core scholarly journals in the field of LGBT Studies, covering the time period 1974 to 2010. The analysis reveals that, although LGBT Studies as an area of scholarship…

Credit where credit is due: indexing and exposing data citations in international data repository networks

NASA Astrophysics Data System (ADS)

Jones, M. B.; Vieglais, D.; Cruse, P.; Chodacki, J.; Budden, A. E.; Fenner, M.; Lowenberg, D.; Abrams, S.

2017-12-01

Research data are fundamental to the success of the academic enterprise, and yet the practice of citing data in academic and applied works is not widespread among researchers. Researchers need credit for their contributions, and yet current citation infrastructure focuses primarily on citations to research literature. Some citation indiexing systems even systematically exclude citations to data from their corpus. The Making Data Count (MDC) project will enable measuring the impact of research data much as is currently being done with publications, the primary vehicle for scholarly credit and accountability. The MDC team (including the California Digital Library, COUNTER, DataCite, and DataONE) are working together to publish a new COUNTER recommendation on data usage statistics; launch a DataCite-hosted MDC service for aggregated DLM based on the open-source Lagotto platform; and build tools for data repository and discovery services to easily integrate with the new MDC service. In providing such data-level metrics (DLM), the MDC project augments existing measures of scholarly success and so offers an important incentive promoting open data principles and quality research data through adoption of research data management best practices.

Research and development of antibiotics: insights from patents and citation network.

PubMed

Zhang, Meng; Kong, Xiangjun; Zheng, Jun; Wan, Jian-Bo; Wang, Yitao; Hu, Yuanjia; Shao, Rong

2016-05-01

Bacterial resistance to antibiotics develops at an alarming rate and leads to the increasing morbidity and health-care costs in recent years. However, the global research and development (R&D) of antibiotics has fallen behind the emergence and spread of bacterial resistance and the world is heading towards a 'post-antibiotic era'. In this context, systematic understanding of the technology landscape and evolving process of antibiotic R&D may help to provide insights for discovering future antibiotics more rationally. Patents and patent citations are broadly believed to be powerful tools in representing the technology advances and capturing technology flows. In all, 707 U.S. patents related to antibiotic R&D are collected and analyzed. Furthermore, patent citations are visualized by a network-based approach, while the inter-relationship between patented technologies on antibiotics is further revealed. The current dry pipeline of antibiotic development requires substantial awareness and political support. It is essential to build an attractive and supportive environment for investment. Thus, a new antibiotic business model is needed to chase the balance between the market-oriented investment and public health goals. Additionally, drug development targeting Gram-negative bacteria, especially resistant Gram-negative bacteria, demands attentions from stakeholders because of their unmet medical needs.

Comparative safety and efficacy of vasopressors for mortality in septic shock: A network meta-analysis.

PubMed

Nagendran, Myura; Maruthappu, Mahiben; Gordon, Anthony C; Gurusamy, Kurinchi S

2016-05-01

Septic shock is a life-threatening condition requiring vasopressor agents to support the circulatory system. Several agents exist with choice typically guided by the specific clinical scenario. We used a network meta-analysis approach to rate the comparative efficacy and safety of vasopressors for mortality and arrhythmia incidence in septic shock patients. We performed a comprehensive electronic database search including Medline, Embase, Science Citation Index Expanded and the Cochrane database. Randomised trials investigating vasopressor agents in septic shock patients and specifically assessing 28-day mortality or arrhythmia incidence were included. A Bayesian network meta-analysis was performed using Markov chain Monte Carlo methods. Thirteen trials of low to moderate risk of bias in which 3146 patients were randomised were included. There was no pairwise evidence to suggest one agent was superior over another for mortality. In the network meta-analysis, vasopressin was significantly superior to dopamine (OR 0.68 (95% CI 0.5 to 0.94)) for mortality. For arrhythmia incidence, standard pairwise meta-analyses confirmed that dopamine led to a higher incidence of arrhythmias than norepinephrine (OR 2.69 (95% CI 2.08 to 3.47)). In the network meta-analysis, there was no evidence of superiority of one agent over another. In this network meta-analysis, vasopressin was superior to dopamine for 28-day mortality in septic shock. Existing pairwise information supports the use of norepinephrine over dopamine. Our findings suggest that dopamine should be avoided in patients with septic shock and that other vasopressor agents should continue to be based on existing guidelines and clinical judgement of the specific presentation of the patient.

Most Common Publication Types in Radiology Journals:: What is the Level of Evidence?

PubMed

Rosenkrantz, Andrew B; Pinnamaneni, Niveditha; Babb, James S; Doshi, Ankur M

2016-05-01

This study aimed to assess the most common publication types in radiology journals, as well as temporal trends and association with citation frequency. PubMed was searched to extract all published articles having the following "Publication Type" indices: "validation studies," "meta-analysis," "clinical trial," "comparative study," "evaluation study," "guideline," "multicenter study," "randomized study," "review," "editorial," "case report," and "technical report." The percentage of articles within each category published within clinical radiology journals was computed. Normalized percentages for each category were also computed on an annual basis. Citation counts within a 2-year window following publication were obtained using Web of Science. Overall trends were assessed. Publication types with the highest fraction in radiology journals were technical reports, evaluation studies, and case reports (4.8% to 5.8%). Publication types with the lowest fraction in radiology journals were randomized trials, multicenter studies, and meta-analyses (0.8% to 1.5%). Case reports showed a significant decrease since 1999, with accelerating decline since 2007 (P = 0.002). Publication types with highest citation counts were meta-analyses, guidelines, and multicenter studies (8.1 ± 10.7 to 12.9 ± 5.1). Publication types with lowest citation counts were case reports, editorials, and technical reports (1.4 ± 2.4 to 2.9 ± 4.3). The representation in radiology journals and citation frequency of the publication types showed weak inverse correlation (r = -0.372). Radiology journals have historically had relatively greater representation of less frequently cited publication types. Various strategies, including methodological training, multidisciplinary collaboration, national support networks, as well as encouragement of higher level of evidence by funding agencies and radiology journals themselves, are warranted to improve the impact of radiological research. Copyright © 2016 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

Top-100 Highest-Cited Original Articles in Ischemic Stroke: A Bibliometric Analysis.

PubMed

Malhotra, Konark; Saeed, Omar; Goyal, Nitin; Katsanos, Aristeidis H; Tsivgoulis, Georgios

2018-03-01

The total number of citations of a research article can be used to determine its impact on the scientific community. We aimed to identify the top-100 articles published on ischemic stroke and evaluate their characteristics. Based on the database of Journal Citation Reports, 934 journals were selected that published original ischemic stroke articles. We used Web of Science citation search tool to identify top-100 citation classics, i.e., articles with more than 400 citations, in the field of ischemic stroke. All original articles were evaluated for publication year, journal category, journal and its impact factor, number of total and annual citations, research topic, publishing country, and institutional affiliation. The top-100 citation classics in ischemic stroke were published from 1970 to 2015, with the decade of 1990-1999 contributing 47 articles of historical significance. Median of total citations and annual citations in our analysis were 625.0 (interquartile range [IQR] 851.3-494.5) and 35.7 (IQR 79.9-25.9), respectively. The majority of the articles originated from the United States (n = 57), focused over the medical management (n = 26), and were published in the New England Journal of Medicine or Stroke (n = 25 each) journals. The median impact factor for the journals that published top-100 ischemic stroke citation classics was 9.11 (IQR 21.49-6.11). Our list of top-100 citation classics specific to ischemic stroke provide a detailed insight into academic achievements, historical perspective and serves as a guide for the scientific progress in stroke. Copyright © 2017 Elsevier Inc. All rights reserved.

International Journal of Occupational Medicine and Environmental Health in world documentation services: the SCOPUS based analysis of citation.

PubMed

Przyłuska, Jolanta

2006-01-01

A high classification of scientific journals in the ranking of international transfer of knowledge is reflected by other researchers' citations. The International Journal of Occupational Medicine and Environmental Health (IJOMEH) is an international professional quarterly focused on such areas as occupational medicine, toxicology and environmental health edited in Poland. IJOMEH, published in English, is indexed in numerous world information services (MEDLINE, EMBASE, EBSCO, SCOPUS). This paper presents the contribution of IJOMEH publications to the world circulation of scientific information based on the citation analysis. The analysis, grounded on the SCOPUS database, assessed the frequency of citations in the years 1996-2005. Journals in which they have been cited were retrieved and their list is also included.

Mapping cross-border collaboration and communication in cardiovascular research from 1992 to 2012.

PubMed

Gal, Diane; Glänzel, Wolfgang; Sipido, Karin R

2017-04-21

The growing burden of cardiovascular disease requires growth in research and innovation. We examine world-wide participation and citation impact across the cardiovascular research landscape from 1992 to 2012; we investigate cross-fertilization between countries and examine whether cross-border collaboration affects impact. State-of-the-art bibliometric methods and indicators are used to identify cardiovascular publications from the Web of Science, and to map trends over time in output, citation impact, and collaboration. The publication output in cardiovascular research has grown steadily from 1992 to 2012 with increased participation worldwide. China has the highest growth as relative share. The USA share initially predominated yet has reduced steadily. Over time, the EU-27 supra-national region has increased its participation above the USA, though on average it has not had greater citation impact than the USA. However, a number of European countries, as well as Australia and Canada, have improved their absolute and relative citation impact above that of the USA by 2006-2012. Europe is a hub of cross-fertilization with strengthening collaborations and strong citation links; the UK, Germany, and France remain central in this network. The USA has the highest number of strong citation links with other countries. All countries, but especially smaller, highly collaborative countries, have higher citation impact for their internationally collaborative research when compared with their domestic publications. Participation in cardiovascular research is growing but growth and impact show wide variability between countries. Cross-border collaboration is increasing, in particular within the EU, and is associated with greater citation impact. © The Author 2016. Published by Oxford University Press on behalf of the European Society of Cardiology.

Universality of Citation Distributions for Academic Institutions and Journals

PubMed Central

Chatterjee, Arnab; Ghosh, Asim; Chakrabarti, Bikas K.

2016-01-01

Citations measure the importance of a publication, and may serve as a proxy for its popularity and quality of its contents. Here we study the distributions of citations to publications from individual academic institutions for a single year. The average number of citations have large variations between different institutions across the world, but the probability distributions of citations for individual institutions can be rescaled to a common form by scaling the citations by the average number of citations for that institution. We find this feature seems to be universal for a broad selection of institutions irrespective of the average number of citations per article. A similar analysis for citations to publications in a particular journal in a single year reveals similar results. We find high absolute inequality for both these sets, Gini coefficients being around 0.66 and 0.58 for institutions and journals respectively. We also find that the top 25% of the articles hold about 75% of the total citations for institutions and the top 29% of the articles hold about 71% of the total citations for journals. PMID:26751563

Universality of Citation Distributions for Academic Institutions and Journals.

PubMed

Chatterjee, Arnab; Ghosh, Asim; Chakrabarti, Bikas K

2016-01-01

Citations measure the importance of a publication, and may serve as a proxy for its popularity and quality of its contents. Here we study the distributions of citations to publications from individual academic institutions for a single year. The average number of citations have large variations between different institutions across the world, but the probability distributions of citations for individual institutions can be rescaled to a common form by scaling the citations by the average number of citations for that institution. We find this feature seems to be universal for a broad selection of institutions irrespective of the average number of citations per article. A similar analysis for citations to publications in a particular journal in a single year reveals similar results. We find high absolute inequality for both these sets, Gini coefficients being around 0.66 and 0.58 for institutions and journals respectively. We also find that the top 25% of the articles hold about 75% of the total citations for institutions and the top 29% of the articles hold about 71% of the total citations for journals.

Factors influencing citations to systematic reviews in skin diseases: a cross-sectional study through Web of Sciences and Scopus.

PubMed

Manriquez, Juan; Cataldo, Karina; Harz, Isidora

2015-01-01

Disseminating information derived from systematic reviews is a fundamental step for translating evidence into practice. To determine which features of dermatological SR are associated with systematic review dissemination, using citation rates as an indicator. Dermatological systematic reviews published between 2008 and 2012 were obtained from Scopus, the ISI Web of Sciences and the Cochrane Skin Group. Bibliometric data of every systematic review were collected and analyzed. A total of 320 systematic reviews were analyzed. Univariable analysis showed that the journal impact factor, number of authors, and total references cited were positively associated with the number of citations. There was a significant difference in the median number of citations with regard to the corresponding author's country, type of skin disease, type of funding, and presence of international collaboration. Cochrane reviews were significantly associated with a lower number of citations. Multivariable analysis found that the number of authors, number of references cited and the corresponding author from United Kingdom were independently correlated with many citations. Cochrane systematic reviews tended to be independently associated with a lower number of citations. Citation number to systematic reviews may be improving by increasing the number of authors, especially collaborative authors, and the number of cited references. The reasons for the association of Cochrane SRs with fewer citations should be addressed in future studies.

Factors influencing citations to systematic reviews in skin diseases: a cross-sectional study through Web of Sciences and Scopus*

PubMed Central

Manriquez, Juan; Cataldo, Karina; Harz, Isidora

2015-01-01

BACKGROUND Disseminating information derived from systematic reviews is a fundamental step for translating evidence into practice. OBJECTIVE To determine which features of dermatological SR are associated with systematic review dissemination, using citation rates as an indicator. METHODS Dermatological systematic reviews published between 2008 and 2012 were obtained from Scopus, the ISI Web of Sciences and the Cochrane Skin Group. Bibliometric data of every systematic review were collected and analyzed. RESULTS A total of 320 systematic reviews were analyzed. Univariable analysis showed that the journal impact factor, number of authors, and total references cited were positively associated with the number of citations. There was a significant difference in the median number of citations with regard to the corresponding author's country, type of skin disease, type of funding, and presence of international collaboration. Cochrane reviews were significantly associated with a lower number of citations. Multivariable analysis found that the number of authors, number of references cited and the corresponding author from United Kingdom were independently correlated with many citations. Cochrane systematic reviews tended to be independently associated with a lower number of citations. CONCLUSIONS Citation number to systematic reviews may be improving by increasing the number of authors, especially collaborative authors, and the number of cited references. The reasons for the association of Cochrane SRs with fewer citations should be addressed in future studies. PMID:26560209

BiologicalNetworks 2.0 - an integrative view of genome biology data

PubMed Central

2010-01-01

Background A significant problem in the study of mechanisms of an organism's development is the elucidation of interrelated factors which are making an impact on the different levels of the organism, such as genes, biological molecules, cells, and cell systems. Numerous sources of heterogeneous data which exist for these subsystems are still not integrated sufficiently enough to give researchers a straightforward opportunity to analyze them together in the same frame of study. Systematic application of data integration methods is also hampered by a multitude of such factors as the orthogonal nature of the integrated data and naming problems. Results Here we report on a new version of BiologicalNetworks, a research environment for the integral visualization and analysis of heterogeneous biological data. BiologicalNetworks can be queried for properties of thousands of different types of biological entities (genes/proteins, promoters, COGs, pathways, binding sites, and other) and their relations (interactions, co-expression, co-citations, and other). The system includes the build-pathways infrastructure for molecular interactions/relations and module discovery in high-throughput experiments. Also implemented in BiologicalNetworks are the Integrated Genome Viewer and Comparative Genomics Browser applications, which allow for the search and analysis of gene regulatory regions and their conservation in multiple species in conjunction with molecular pathways/networks, experimental data and functional annotations. Conclusions The new release of BiologicalNetworks together with its back-end database introduces extensive functionality for a more efficient integrated multi-level analysis of microarray, sequence, regulatory, and other data. BiologicalNetworks is freely available at http://www.biologicalnetworks.org. PMID:21190573

An Analysis of Peer-Reviewed Scores and Impact Factors with Different Citation Time Windows: A Case Study of 28 Ophthalmologic Journals

PubMed Central

Liu, Xue-Li; Gai, Shuang-Shuang; Zhang, Shi-Le; Wang, Pu

2015-01-01

Background An important attribute of the traditional impact factor was the controversial 2-year citation window. So far, several scholars have proposed using different citation time windows for evaluating journals. However, there is no confirmation whether a longer citation time window would be better. How did the journal evaluation effects of 3IF, 4IF, and 6IF comparing with 2IF and 5IF? In order to understand these questions, we made a comparative study of impact factors with different citation time windows with the peer-reviewed scores of ophthalmologic journals indexed by Science Citation Index Expanded (SCIE) database. Methods The peer-reviewed scores of 28 ophthalmologic journals were obtained through a self-designed survey questionnaire. Impact factors with different citation time windows (including 2IF, 3IF, 4IF, 5IF, and 6IF) of 28 ophthalmologic journals were computed and compared in accordance with each impact factor’s definition and formula, using the citation analysis function of the Web of Science (WoS) database. An analysis of the correlation between impact factors with different citation time windows and peer-reviewed scores was carried out. Results Although impact factor values with different citation time windows were different, there was a high level of correlation between them when it came to evaluating journals. In the current study, for ophthalmologic journals’ impact factors with different time windows in 2013, 3IF and 4IF seemed the ideal ranges for comparison, when assessed in relation to peer-reviewed scores. In addition, the 3-year and 4-year windows were quite consistent with the cited peak age of documents published by ophthalmologic journals. Research Limitations Our study is based on ophthalmology journals and we only analyze the impact factors with different citation time window in 2013, so it has yet to be ascertained whether other disciplines (especially those with a later cited peak) or other years would follow the same or similar patterns. Originality/ Value We designed the survey questionnaire ourselves, specifically to assess the real influence of journals. We used peer-reviewed scores to judge the journal evaluation effect of impact factors with different citation time windows. The main purpose of this study was to help researchers better understand the role of impact factors with different citation time windows in journal evaluation. PMID:26295157

An Analysis of Peer-Reviewed Scores and Impact Factors with Different Citation Time Windows: A Case Study of 28 Ophthalmologic Journals.

PubMed

Liu, Xue-Li; Gai, Shuang-Shuang; Zhang, Shi-Le; Wang, Pu

2015-01-01

An important attribute of the traditional impact factor was the controversial 2-year citation window. So far, several scholars have proposed using different citation time windows for evaluating journals. However, there is no confirmation whether a longer citation time window would be better. How did the journal evaluation effects of 3IF, 4IF, and 6IF comparing with 2IF and 5IF? In order to understand these questions, we made a comparative study of impact factors with different citation time windows with the peer-reviewed scores of ophthalmologic journals indexed by Science Citation Index Expanded (SCIE) database. The peer-reviewed scores of 28 ophthalmologic journals were obtained through a self-designed survey questionnaire. Impact factors with different citation time windows (including 2IF, 3IF, 4IF, 5IF, and 6IF) of 28 ophthalmologic journals were computed and compared in accordance with each impact factor's definition and formula, using the citation analysis function of the Web of Science (WoS) database. An analysis of the correlation between impact factors with different citation time windows and peer-reviewed scores was carried out. Although impact factor values with different citation time windows were different, there was a high level of correlation between them when it came to evaluating journals. In the current study, for ophthalmologic journals' impact factors with different time windows in 2013, 3IF and 4IF seemed the ideal ranges for comparison, when assessed in relation to peer-reviewed scores. In addition, the 3-year and 4-year windows were quite consistent with the cited peak age of documents published by ophthalmologic journals. Our study is based on ophthalmology journals and we only analyze the impact factors with different citation time window in 2013, so it has yet to be ascertained whether other disciplines (especially those with a later cited peak) or other years would follow the same or similar patterns. We designed the survey questionnaire ourselves, specifically to assess the real influence of journals. We used peer-reviewed scores to judge the journal evaluation effect of impact factors with different citation time windows. The main purpose of this study was to help researchers better understand the role of impact factors with different citation time windows in journal evaluation.

The effectiveness of the practice of correction and republication in the biomedical literature

PubMed Central

Peterson, Gabriel M

2010-01-01

Objective: This research measures the effectiveness of the practice of correction and republication of invalidated articles in the biomedical literature by analyzing the rate of citation of the flawed and corrected versions of scholarly articles over time. If the practice of correction and republication is effective, then the incidence of citation of flawed versions should diminish over time and increased incidence of citation of the republication should be observed. Methods: This is a bibliometric study using citation analysis and statistical analysis of pairs of flawed and corrected articles in MEDLINE and Web of Science. Results: The difference between citation levels of flawed originals and corrected republications does not approach statistical significance until eight to twelve years post-republication. Results showed substantial variability among bibliographic sources in their provision of authoritative bibliographic information. Conclusions: Correction and republication is a marginally effective biblioremediative practice. The data suggest that inappropriate citation behavior may be partly attributable to author ignorance. PMID:20428278

100 classic papers of interventional radiology: A citation analysis.

PubMed

Crockett, Matthew T; Browne, Ronan Fj; MacMahon, Peter J; Lawler, Leo

2015-04-28

To define the 100 citation classic papers of interventional radiology. Using the database of Journal Citation Reports the 40 highest impact factor radiology journals were chosen. From these journals the 100 most cited interventional radiology papers were chosen and analysed. The top paper received 2497 citations and the 100(th) paper 200 citations. The average number of citations was 320. Dates of publication ranged from 1953 - 2005. Most papers originated in the United States (n = 67) followed by Italy (n = 20) and France (n = 10). Harvard University (n = 18) and Osped Civile (n = 11) were the most prolific institutions. Ten journals produced all of the top 100 papers with "Radiology" and "AJR" making up the majority. SN Goldberg and T Livraghi were the most prolific authors. Nearly two thirds of the papers (n = 61) were published after 1990. This analysis identifies many of the landmark interventional radiology papers and provides a fascinating insight into the changing discourse within the field. It also identifies topics, authors and institutions which have impacted greatly on the specialty.

Research Trends in Social Network Sites' Educational Use: A Review of Publications in All SSCI Journals to 2015

ERIC Educational Resources Information Center

Akçayir, Gökçe; Akçayir, Murat

2016-01-01

In the current study, 247 articles dealing with the use of SNSs (social network sites) in education and published in Social Sciences Citation Index (SSCI) journals up to 2015 were analysed. The articles' demographic (year, learner type, used SNS, major contributing countries, and academic discipline) and topic trends were determined. As a result…

The Orphan Disease Networks

PubMed Central

Zhang, Minlu; Zhu, Cheng; Jacomy, Alexis; Lu, Long J.; Jegga, Anil G.

2011-01-01

The low prevalence rate of orphan diseases (OD) requires special combined efforts to improve diagnosis, prevention, and discovery of novel therapeutic strategies. To identify and investigate relationships based on shared genes or shared functional features, we have conducted a bioinformatic-based global analysis of all orphan diseases with known disease-causing mutant genes. Starting with a bipartite network of known OD and OD-causing mutant genes and using the human protein interactome, we first construct and topologically analyze three networks: the orphan disease network, the orphan disease-causing mutant gene network, and the orphan disease-causing mutant gene interactome. Our results demonstrate that in contrast to the common disease-causing mutant genes that are predominantly nonessential, a majority of orphan disease-causing mutant genes are essential. In confirmation of this finding, we found that OD-causing mutant genes are topologically important in the protein interactome and are ubiquitously expressed. Additionally, functional enrichment analysis of those genes in which mutations cause ODs shows that a majority result in premature death or are lethal in the orthologous mouse gene knockout models. To address the limitations of traditional gene-based disease networks, we also construct and analyze OD networks on the basis of shared enriched features (biological processes, cellular components, pathways, phenotypes, and literature citations). Analyzing these functionally-linked OD networks, we identified several additional OD-OD relations that are both phenotypically similar and phenotypically diverse. Surprisingly, we observed that the wiring of the gene-based and other feature-based OD networks are largely different; this suggests that the relationship between ODs cannot be fully captured by the gene-based network alone. PMID:21664998

An analysis of the citation climate in neurosurgical literature and description of an interfield citation metric.

PubMed

Madhugiri, Venkatesh S; Sasidharan, Gopalakrishnan M; Subeikshanan, Venkatesan; Dutt, Akshat; Ambekar, Sudheer; Strom, Shane F

2015-05-01

The citation climate in neurosurgical literature is largely undefined. To study the patterns of citation of articles in neurosurgery as a scientific field and to evaluate the performance of neurosurgery journals vis-à-vis journals in other fields. References cited in articles published in neurosurgery journals during a specified time period were analyzed to determine the age of articles cited in neurosurgical literature. In the next analysis, articles published in neurosurgical journals were followed up for 13 years after publication. The postpublication citation patterns were analyzed to determine the time taken to reach the maximally cited state and the time when articles stopped being cited. The final part of the study dealt with the evolution of a new interfield citation metric, which was then compared with other standardized citation indexes. The mean ± SD age of articles cited in neurosurgical literature was 11.6 ± 11.7 years (median, 8 years). Citations received by articles gradually increased to a peak (at 6.25 years after publication in neurosurgery) and then reached a steady state; articles were still cited well into the late postpublication period. Neurosurgical articles published in nonneurosurgical high-impact journals were cited more highly than those in neurosurgical journals, although they took approximately the same time to reach the maximally cited state (7.2 years). The most cited pure neurosurgery journal was Neurosurgery. The citation climate for neurosurgery was adequately described. The interfield citation metric was able to ensure cross-field comparability of journal performance. G1, group 1G2, group 2G3, group 3G4, group 4IFCM, interfield citation metric.

100 Most Influential Publications in Scoliosis Surgery.

PubMed

Zhou, James Jun; Koltz, Michael T; Agarwal, Nitin; Tempel, Zachary J; Kanter, Adam S; Okonkwo, David O; Hamilton, D Kojo

2017-03-01

Bibliometric analysis. To apply the established technique of citation analysis to identify the 100 most influential articles in scoliosis surgery research published between 1900 and 2015. Previous studies have applied the technique of citation analysis to other areas of study. This is the first article to apply this technique to the field of scoliosis surgery. A two-step search of the Thomson Reuters Web of Science was conducted to identify all articles relevant to the field of scoliosis surgery. The top 100 articles with the most citations were identified based on analysis of titles and abstracts. Further statistical analysis was conducted to determine whether measures of author reputation and overall publication influence affected the rate at which publications were recognized and incorporated by other researchers in the field. Total citations for the final 100 publications included in the list ranged from 82 to 509. The period for publication ranged from 1954 to 2010. Most studies were published in the journal Spine (n = 63). The most frequently published topics of study were surgical techniques (n = 35) and outcomes (n = 35). Measures of author reputation (number of total studies in the top 100, number of first-author studies in the top 100) were found to have no effect on the rate at which studies were adopted by other researchers (number of years until first citation, and number of years until maximum citations). The number of citations/year a publication received was found to be negatively correlated with the rate at which it was adopted by other researchers, indicating that more influential manuscripts attained more rapid recognition by the scientific community at large. In assembling this publication, we have strived to identify and recognize the 100 most influential articles in scoliosis surgery research from 1900 to 2015. N/A.

Fame and obsolescence: Disentangling growth and aging dynamics of patent citations.

PubMed

Higham, K W; Governale, M; Jaffe, A B; Zülicke, U

2017-04-01

We present an analysis of citations accrued over time by patents granted by the United States Patent and Trademark Office in 1998. In contrast to previous studies, a disaggregation by technology category is performed, and exogenously caused citation-number growth is controlled for. Our approach reveals an intrinsic citation rate that clearly separates into an-in the long run, exponentially time-dependent-aging function and a completely time-independent preferential-attachment-type growth kernel. For the general case of such a separable citation rate, we obtain the time-dependent citation distribution analytically in a form that is valid for any functional form of its aging and growth parts. Good agreement between theory and long-time characteristics of patent-citation data establishes our work as a useful framework for addressing still open questions about knowledge-propagation dynamics, such as the observed excess of citations at short times.

Fame and obsolescence: Disentangling growth and aging dynamics of patent citations

NASA Astrophysics Data System (ADS)

Higham, K. W.; Governale, M.; Jaffe, A. B.; Zülicke, U.

2017-04-01

We present an analysis of citations accrued over time by patents granted by the United States Patent and Trademark Office in 1998. In contrast to previous studies, a disaggregation by technology category is performed, and exogenously caused citation-number growth is controlled for. Our approach reveals an intrinsic citation rate that clearly separates into an—in the long run, exponentially time-dependent—aging function and a completely time-independent preferential-attachment-type growth kernel. For the general case of such a separable citation rate, we obtain the time-dependent citation distribution analytically in a form that is valid for any functional form of its aging and growth parts. Good agreement between theory and long-time characteristics of patent-citation data establishes our work as a useful framework for addressing still open questions about knowledge-propagation dynamics, such as the observed excess of citations at short times.

Bibliometric analysis of 100 most cited articles on oral submucous fibrosis.

PubMed

Gondivkar, Shailesh M; Sarode, Sachin C; Gadbail, Amol R; Gondivkar, Rima S; Chole, Revant; Sarode, Gargi S

2018-06-15

Citation analysis reflects the scientific recognition and influential performance of an article in the scientific community. The objective of this study was to identify and characterize the 100 most cited articles on oral submucous fibrosis (OSF). A list of 100 most cited articles related to OSF was retrieved from the Science Citation Index-Expanded tool of Scopus database in May 2018.The articles were further reviewed, and basic information was recorded including the number of citations, citation density, journals, with its impact factor, category and quartile, publication year, authors, institution and country of origin, article type and level of evidence. Descriptive statistics were used to summarize the results. The most frequently cited article received 780 citations, while the least frequently cited article received 49 (mean107.5 citations per article). There were 38 different journals with Journal of Oral Pathology and Medicine having the most citations (n = 22).The 100 most cited articles were published from 1966 to 2013, with 81% published after 1990.Thirteen authors listed 5 or more articles in the top 100 list and India was found to be the most prolific country with 38 articles. In terms of article type, there were 72 research articles and 28 review articles. This first citation analysis of the 100 most cited articles render a historical perspective on the progress of research in the field of OSF and enables the comprehensive identification and recognition of the most important and relevant research topics concerned. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.

How Citation Boosts Promote Scientific Paradigm Shifts and Nobel Prizes

PubMed Central

Mazloumian, Amin; Eom, Young-Ho; Helbing, Dirk; Lozano, Sergi; Fortunato, Santo

2011-01-01

Nobel Prizes are commonly seen to be among the most prestigious achievements of our times. Based on mining several million citations, we quantitatively analyze the processes driving paradigm shifts in science. We find that groundbreaking discoveries of Nobel Prize Laureates and other famous scientists are not only acknowledged by many citations of their landmark papers. Surprisingly, they also boost the citation rates of their previous publications. Given that innovations must outcompete the rich-gets-richer effect for scientific citations, it turns out that they can make their way only through citation cascades. A quantitative analysis reveals how and why they happen. Science appears to behave like a self-organized critical system, in which citation cascades of all sizes occur, from continuous scientific progress all the way up to scientific revolutions, which change the way we see our world. Measuring the “boosting effect” of landmark papers, our analysis reveals how new ideas and new players can make their way and finally triumph in a world dominated by established paradigms. The underlying “boost factor” is also useful to discover scientific breakthroughs and talents much earlier than through classical citation analysis, which by now has become a widespread method to measure scientific excellence, influencing scientific careers and the distribution of research funds. Our findings reveal patterns of collective social behavior, which are also interesting from an attention economics perspective. Understanding the origin of scientific authority may therefore ultimately help to explain how social influence comes about and why the value of goods depends so strongly on the attention they attract. PMID:21573229

How citation boosts promote scientific paradigm shifts and nobel prizes.

PubMed

Mazloumian, Amin; Eom, Young-Ho; Helbing, Dirk; Lozano, Sergi; Fortunato, Santo

2011-05-04

Nobel Prizes are commonly seen to be among the most prestigious achievements of our times. Based on mining several million citations, we quantitatively analyze the processes driving paradigm shifts in science. We find that groundbreaking discoveries of Nobel Prize Laureates and other famous scientists are not only acknowledged by many citations of their landmark papers. Surprisingly, they also boost the citation rates of their previous publications. Given that innovations must outcompete the rich-gets-richer effect for scientific citations, it turns out that they can make their way only through citation cascades. A quantitative analysis reveals how and why they happen. Science appears to behave like a self-organized critical system, in which citation cascades of all sizes occur, from continuous scientific progress all the way up to scientific revolutions, which change the way we see our world. Measuring the "boosting effect" of landmark papers, our analysis reveals how new ideas and new players can make their way and finally triumph in a world dominated by established paradigms. The underlying "boost factor" is also useful to discover scientific breakthroughs and talents much earlier than through classical citation analysis, which by now has become a widespread method to measure scientific excellence, influencing scientific careers and the distribution of research funds. Our findings reveal patterns of collective social behavior, which are also interesting from an attention economics perspective. Understanding the origin of scientific authority may therefore ultimately help to explain how social influence comes about and why the value of goods depends so strongly on the attention they attract.

The 50 Most Cited Papers in Craniofacial Anomalies and Craniofacial Surgery.

PubMed

Mahon, Nicola A; Joyce, Cormac W; Thomas, Sangeetha; Concannon, Elizabeth; Murray, Dylan

2015-09-01

Citation analysis is a recognized scientometric method of classifying cited articles according to the frequency of which they have been referenced. The total number of citations an article receives is considered to reflect it's significance among it's peers. Until now, a bibliometric analysis has never been performed in the specialty of craniofacial anomalies and craniofacial surgery. This citation analysis generates an extensive list of the 50 most influential papers in this developing field. Journals specializing in craniofacial surgery, maxillofacial surgery, plastic surgery, neurosurgery, genetics and pediatrics were searched to demonstrate which articles have cultivated the specialty within the past 55 years. The results show an intriguing compilation of papers which outline the fundamental knowledge of craniofacial anomalies and the developments of surgical techniques to manage these patients. This citation analysis provides a summation of the current most popular trends in craniofacial literature. These esteemed papers aid to direct our decision making today within this specialty.

Developing a guideline to standardize the citation of bioresources in journal articles (CoBRA).

PubMed

Bravo, Elena; Calzolari, Alessia; De Castro, Paola; Mabile, Laurence; Napolitani, Federica; Rossi, Anna Maria; Cambon-Thomsen, Anne

2015-02-17

Many biomedical publications refer to data obtained from collections of biosamples. Sharing such bioresources (biological samples, data, and databases) is paramount for the present governance of research. Recognition of the effort involved in generating, maintaining, and sharing high quality bioresources is poorly organized, which does not encourage sharing. At publication level, the recognition of such resources is often neglected and/or highly heterogeneous. This is a true handicap for the traceability of bioresource use. The aim of this article is to propose, for the first time, a guideline for reporting bioresource use in research articles, named CoBRA: Citation of BioResources in journal Articles. As standards for citing bioresources are still lacking, the members of the journal editors subgroup of the Bioresource Research Impact Factor (BRIF) initiative developed a standardized and appropriate citation scheme for such resources by informing stakeholders about the subject and raising awareness among scientists and in science editors' networks, mapping this topic among other relevant initiatives, promoting actions addressed to stakeholders, launching surveys, and organizing focused workshops. The European Association of Science Editors has adopted BRIF's suggestion to incorporate statements on biobanks in the Methods section of their guidelines. The BRIF subgroup agreed upon a proposed citation system: each individual bioresource that is used to perform a study and that is mentioned in the Methods section should be cited as an individual "reference [BIORESOURCE]" according to a delineated format. The EQUATOR (Enhancing the QUAlity and Transparency Of health Research) network mentioned the proposed reporting guideline in their "guidelines under development" section. Evaluating bioresources' use and impact requires that publications accurately cite such resources. Adopting the standard citation scheme described here will improve the quality of bioresource reporting and will allow their traceability in scientific publications, thus increasing the recognition of bioresources' value and relevance to research. Please see related article: http://dx.doi.org/10.1186/s12916-015-0284-9.

78 FR 25440 - Request for Information and Citations on Methods for Cumulative Risk Assessment

Federal Register 2010, 2011, 2012, 2013, 2014

2013-05-01

... Citations on Methods for Cumulative Risk Assessment AGENCY: Office of the Science Advisor, Environmental... requesting information and citations on approaches and methods for the planning, analysis, assessment, and... approaches to understanding risks to human health and the environment. For example, in Science & Decisions...

Ecology in the information age: Patterns of use and attrition rates of internet-based citations in ESA journals, 1997–2005

USGS Publications Warehouse

Duda, Jeffrey J.; Camp, Richard J.

2008-01-01

As the amount of information available on the internet has increased, so too has the number of citations to network-accessible information in scholarly research. We searched all papers in four Ecological Society of America journals from 1997 to 2005 for articles containing a citation to material on the internet. We then tested the links to determine whether the information cited in the paper was still accessible. We identified 877 articles that contained at least one link to information on the internet and a total of 2100 unique links. The majority of these citations were based on an object's location (Uniform Resource Locator; 77%), whereas the rest were based on an object's identity (eg Digital Object Identifier, GenBank Accession number). We found that 19–30% of the location-based links were unavailable and that there was a positive relationship between the age of an article and the probability of the link being inactive. Using an internet search engine, we recovered 72–84% of the lost information, leaving a total of 6.2% of the total citations unavailable. Our results highlight the problem of persistence of information stored on the world wide web and we include recommendations for minimizing this problem.

Evaluating Research and Impact: A Bibliometric Analysis of Research by the NIH/NIAID HIV/AIDS Clinical Trials Networks

PubMed Central

Rosas, Scott R.; Kagan, Jonathan M.; Schouten, Jeffrey T.; Slack, Perry A.; Trochim, William M. K.

2011-01-01

Evaluative bibliometrics uses advanced techniques to assess the impact of scholarly work in the context of other scientific work and usually compares the relative scientific contributions of research groups or institutions. Using publications from the National Institute of Allergy and Infectious Diseases (NIAID) HIV/AIDS extramural clinical trials networks, we assessed the presence, performance, and impact of papers published in 2006–2008. Through this approach, we sought to expand traditional bibliometric analyses beyond citation counts to include normative comparisons across journals and fields, visualization of co-authorship across the networks, and assess the inclusion of publications in reviews and syntheses. Specifically, we examined the research output of the networks in terms of the a) presence of papers in the scientific journal hierarchy ranked on the basis of journal influence measures, b) performance of publications on traditional bibliometric measures, and c) impact of publications in comparisons with similar publications worldwide, adjusted for journals and fields. We also examined collaboration and interdisciplinarity across the initiative, through network analysis and modeling of co-authorship patterns. Finally, we explored the uptake of network produced publications in research reviews and syntheses. Overall, the results suggest the networks are producing highly recognized work, engaging in extensive interdisciplinary collaborations, and having an impact across several areas of HIV-related science. The strengths and limitations of the approach for evaluation and monitoring research initiatives are discussed. PMID:21394198

Scientific consensus, the law, and same sex parenting outcomes.

PubMed

adams, Jimi; Light, Ryan

2015-09-01

While the US Supreme Court was considering two related cases involving the constitutionality of same-sex marriage, one major question informing that decision was whether scientific research had achieved consensus regarding how children of same-sex couples fare. Determining the extent of consensus has become a key aspect of how social science evidence and testimony is accepted by the courts. Here, we show how a method of analyzing temporal patterns in citation networks can be used to assess the state of social scientific literature as a means to inform just such a question. Patterns of clustering within these citation networks reveal whether and when consensus arises within a scientific field. We find that the literature on outcomes for children of same-sex parents is marked by scientific consensus that they experience "no differences" compared to children from other parental configurations. Copyright © 2015 Elsevier Inc. All rights reserved.

Archaeology: site studies, activation analysis, preservation, and remote sensing. December 1979-December 1980 (citations from the NTIS Data Base). Report for December 1970-December 1980

DOE Office of Scientific and Technical Information (OSTI.GOV)

Not Available

1981-01-01

These citations of federally-funded research contains the chemical analysis of archaeological specimens, as well as general studies. The chemical analysis deals primarily with activation analysis. Articles examined include metals, pottery, coins, paintings, soils, glass, and paper from Medieval, Grecian, Egyptian, Mayan, and prehistoric times. The general studies cites other archaeological research, including results of excavation from the United States. Also covered is work on preservation of artifacts and remote sensing for the site location. (This updated bibliography contains 133 citations, all of which are new entries to the previous edition.)

NCI's national environmental research data collection: metadata management built on standards and preparing for the semantic web

NASA Astrophysics Data System (ADS)

Wang, Jingbo; Bastrakova, Irina; Evans, Ben; Gohar, Kashif; Santana, Fabiana; Wyborn, Lesley

2015-04-01

National Computational Infrastructure (NCI) manages national environmental research data collections (10+ PB) as part of its specialized high performance data node of the Research Data Storage Infrastructure (RDSI) program. We manage 40+ data collections using NCI's Data Management Plan (DMP), which is compatible with the ISO 19100 metadata standards. We utilize ISO standards to make sure our metadata is transferable and interoperable for sharing and harvesting. The DMP is used along with metadata from the data itself, to create a hierarchy of data collection, dataset and time series catalogues that is then exposed through GeoNetwork for standard discoverability. This hierarchy catalogues are linked using a parent-child relationship. The hierarchical infrastructure of our GeoNetwork catalogues system aims to address both discoverability and in-house administrative use-cases. At NCI, we are currently improving the metadata interoperability in our catalogue by linking with standardized community vocabulary services. These emerging vocabulary services are being established to help harmonise data from different national and international scientific communities. One such vocabulary service is currently being established by the Australian National Data Services (ANDS). Data citation is another important aspect of the NCI data infrastructure, which allows tracking of data usage and infrastructure investment, encourage data sharing, and increasing trust in research that is reliant on these data collections. We incorporate the standard vocabularies into the data citation metadata so that the data citation become machine readable and semantically friendly for web-search purpose as well. By standardizing our metadata structure across our entire data corpus, we are laying the foundation to enable the application of appropriate semantic mechanisms to enhance discovery and analysis of NCI's national environmental research data information. We expect that this will further increase the data discoverability and encourage the data sharing and reuse within the community, increasing the value of the data much further than its current use.

Worldwide nanotechnology development: a comparative study of USPTO, EPO, and JPO patents (1976-2004)

NASA Astrophysics Data System (ADS)

Li, Xin; Lin, Yiling; Chen, Hsinchun; Roco, Mihail C.

2007-12-01

To assess worldwide development of nanotechnology, this paper compares the numbers and contents of nanotechnology patents in the United States Patent and Trademark Office (USPTO), European Patent Office (EPO), and Japan Patent Office (JPO). It uses the patent databases as indicators of nanotechnology trends via bibliographic analysis, content map analysis, and citation network analysis on nanotechnology patents per country, institution, and technology field. The numbers of nanotechnology patents published in USPTO and EPO have continued to increase quasi-exponentially since 1980, while those published in JPO stabilized after 1993. Institutions and individuals located in the same region as a repository's patent office have a higher contribution to the nanotechnology patent publication in that repository ("home advantage" effect). The USPTO and EPO databases had similar high-productivity contributing countries and technology fields with large number of patents, but quite different high-impact countries and technology fields after the average number of received cites. Bibliographic analysis on USPTO and EPO patents shows that researchers in the United States and Japan published larger numbers of patents than other countries, and that their patents were more frequently cited by other patents. Nanotechnology patents covered physics research topics in all three repositories. In addition, USPTO showed the broadest representation in coverage in biomedical and electronics areas. The analysis of citations by technology field indicates that USPTO had a clear pattern of knowledge diffusion from highly cited fields to less cited fields, while EPO showed knowledge exchange mainly occurred among highly cited fields.

References that anyone can edit: review of Wikipedia citations in peer reviewed health science literature.

PubMed

Bould, M Dylan; Hladkowicz, Emily S; Pigford, Ashlee-Ann E; Ufholz, Lee-Anne; Postonogova, Tatyana; Shin, Eunkyung; Boet, Sylvain

2014-03-06

To examine indexed health science journals to evaluate the prevalence of Wikipedia citations, identify the journals that publish articles with Wikipedia citations, and determine how Wikipedia is being cited. Bibliometric analysis. Publications in the English language that included citations to Wikipedia were retrieved using the online databases Scopus and Web of Science. To identify health science journals, results were refined using Ulrich's database, selecting for citations from journals indexed in Medline, PubMed, or Embase. Using Thomson Reuters Journal Citation Reports, 2011 impact factors were collected for all journals included in the search. Resulting citations were thematically coded, and descriptive statistics were calculated. 1433 full text articles from 1008 journals indexed in Medline, PubMed, or Embase with 2049 Wikipedia citations were accessed. The frequency of Wikipedia citations has increased over time; most citations occurred after December 2010. More than half of the citations were coded as definitions (n = 648; 31.6%) or descriptions (n=482; 23.5%). Citations were not limited to journals with a low or no impact factor; the search found Wikipedia citations in many journals with high impact factors. Many publications are citing information from a tertiary source that can be edited by anyone, although permanent, evidence based sources are available. We encourage journal editors and reviewers to use caution when publishing articles that cite Wikipedia.

Homophyly/kinship hypothesis: Natural communities, and predicting in networks

NASA Astrophysics Data System (ADS)

Li, Angsheng; Li, Jiankou; Pan, Yicheng

2015-02-01

It has been a longstanding challenge to understand natural communities in real world networks. We proposed a community finding algorithm based on fitness of networks, two algorithms for prediction, accurate prediction and confirmation of keywords for papers in the citation network Arxiv HEP-TH (high energy physics theory), and the measures of internal centrality, external de-centrality, internal and external slopes to characterize the structures of communities. We implemented our algorithms on 2 citation and 5 cooperation graphs. Our experiments explored and validated a homophyly/kinship principle of real world networks. The homophyly/kinship principle includes: (1) homophyly is the natural selection in real world networks, similar to Darwin's kinship selection in nature, (2) real world networks consist of natural communities generated by the natural selection of homophyly, (3) most individuals in a natural community share a short list of common attributes, (4) natural communities have an internal centrality (or internal heterogeneity) that a natural community has a few nodes dominating most of the individuals in the community, (5) natural communities have an external de-centrality (or external homogeneity) that external links of a natural community homogeneously distributed in different communities, and (6) natural communities of a given network have typical structures determined by the internal slopes, and have typical patterns of outgoing links determined by external slopes, etc. Our homophyly/kinship principle perfectly matches Darwin's observation that animals from ants to people form social groups in which most individuals work for the common good, and that kinship could encourage altruistic behavior. Our homophyly/kinship principle is the network version of Darwinian theory, and builds a bridge between Darwinian evolution and network science.

Citation classics in nursing journals: the top 50 most frequently cited articles from 1956 to 2011.

PubMed

Wong, Eliza L Y; Tam, Wilson W S; Wong, Faye C Y; Cheung, Annie W L

2013-01-01

Assessing the impact of individual journal articles provides information for understanding trends in science and translation of findings on practice. Citation analysis is an important way to highlight the contributions of individual author/investigator and journals on nursing practice. The purpose of this study was to identify the most frequently cited articles published in nursing journals from 1956 to 2011. The Science Citation Index Expanded and Social Sciences Citation Index were searched for citations through 2011 to articles published in the 89 nursing journals listed on the Journal Citation Reports (2010 edition). The number of citations, topic, countries, and institutions of origin based on the first author affiliation, year of publication, study design, publishing journal, journal country, and journal impact factor were noted. The most frequently cited articles published in the 89 nursing journals from 1956 to 2011 were identified. The top 50 most frequently cited articles were published in 10 nursing journals between 1970 and 2005. The top cited article received 784 citations. The most common topics were methodology for qualitative studies, validation procedures for tool development, and nursing care and practices in cancer and mental health. The most common study designs were reviews including meta-analysis and instrument validation. Most of the top 50 cited articles were published from 1986 to 1995. The findings provide insights into priorities and trends in nursing research and translational science.

Assessing the scholarly impact of health psychology: a citation analysis of articles published from 1993 to 2003.

PubMed

Frosch, Dominick L; Saxbe, Darby; Tomiyama, A Janet; Glenn, Beth A; Low, Carissa A; Hanoch, Yaniv; Motivala, Sarosh J; Meeker, Daniella

2010-09-01

We conducted a citation analysis to explore the impact of articles published in Health Psychology and determine whether the journal is fulfilling its stated mission. Six years of articles (N = 408) representing three editorial tenures from 1993-2003 were selected for analysis. Articles were coded for several dimensions enabling examination of the relationship of article features to subsequent citations rates. Journals citing articles published in Health Psychology were classified into four categories: (1) psychology, (2) medicine, (3) public health and health policy, and (4) other journals. The majority of citations of Health Psychology articles were in psychology journals, followed closely by medical journals. Studies reporting data collected from college students, and discussing the theoretical implications of findings, were more likely to be cited in psychology journals, whereas studies reporting data from clinical populations, and discussing the practice implications of findings, were more likely to be cited in medical journals. Time since publication and page length were both associated with increased citation counts, and review articles were cited more frequently than observational studies. Articles published in Health Psychology have a wide reach, informing psychology, medicine, public health and health policy. Certain characteristics of articles affect their subsequent pattern of citation. (PsycINFO Database Record (c) 2010 APA, all rights reserved).

Trends in biomedical informatics: automated topic analysis of JAMIA articles

PubMed Central

Wang, Shuang; Jiang, Chao; Jiang, Xiaoqian; Kim, Hyeon-Eui; Sun, Jimeng; Ohno-Machado, Lucila

2015-01-01

Biomedical Informatics is a growing interdisciplinary field in which research topics and citation trends have been evolving rapidly in recent years. To analyze these data in a fast, reproducible manner, automation of certain processes is needed. JAMIA is a “generalist” journal for biomedical informatics. Its articles reflect the wide range of topics in informatics. In this study, we retrieved Medical Subject Headings (MeSH) terms and citations of JAMIA articles published between 2009 and 2014. We use tensors (i.e., multidimensional arrays) to represent the interaction among topics, time and citations, and applied tensor decomposition to automate the analysis. The trends represented by tensors were then carefully interpreted and the results were compared with previous findings based on manual topic analysis. A list of most cited JAMIA articles, their topics, and publication trends over recent years is presented. The analyses confirmed previous studies and showed that, from 2012 to 2014, the number of articles related to MeSH terms Methods, Organization & Administration, and Algorithms increased significantly both in number of publications and citations. Citation trends varied widely by topic, with Natural Language Processing having a large number of citations in particular years, and Medical Record Systems, Computerized remaining a very popular topic in all years. PMID:26555018

Citation analysis of Minnesota Department of Health official publications and journal articles: a needs assessment for the RN Barr Library.

PubMed

Rethlefsen, Melissa L

2007-07-01

The paper describes the information needs of a state public health agency, compares needs to its library's collection, and evaluates collection development policy accordingly. A citation analysis of journal articles authored by Minnesota Department of Health staff as well as official publications from 2002 to 2004 was conducted. Fifty-six publications fitting the criteria for inclusion in the study were identified using PubMed and library records. Information on each cited reference was recorded, including reference type, relative age of citation, and journal name, if applicable. The library's collection and collection development policies were analyzed in regard to the results. As expected, journals were the most heavily cited format: 63% (n = 897) of all citations were to journal articles. Most cited materials were between 2 and 5 years old. The 897 journal citations represented 265 different journals. The top 10 cited journals (4% of all titles) accounted for 36% (n = 320) of all citations; 62% (n = 320) of journals were cited only once. Of the total journals cited, the library subscribed to 70% (n = 627). Overall, no large gaps appeared in the RN Barr Library's journal collection. The analysis confirms that the library's collections budget for serials and books reflects the cited use of these materials.

The Role of Datasets on Scientific Influence within Conflict Research

PubMed Central

Van Holt, Tracy; Johnson, Jeffery C.; Moates, Shiloh; Carley, Kathleen M.

2016-01-01

We inductively tested if a coherent field of inquiry in human conflict research emerged in an analysis of published research involving “conflict” in the Web of Science (WoS) over a 66-year period (1945–2011). We created a citation network that linked the 62,504 WoS records and their cited literature. We performed a critical path analysis (CPA), a specialized social network analysis on this citation network (~1.5 million works), to highlight the main contributions in conflict research and to test if research on conflict has in fact evolved to represent a coherent field of inquiry. Out of this vast dataset, 49 academic works were highlighted by the CPA suggesting a coherent field of inquiry; which means that researchers in the field acknowledge seminal contributions and share a common knowledge base. Other conflict concepts that were also analyzed—such as interpersonal conflict or conflict among pharmaceuticals, for example, did not form their own CP. A single path formed, meaning that there was a cohesive set of ideas that built upon previous research. This is in contrast to a main path analysis of conflict from 1957–1971 where ideas didn’t persist in that multiple paths existed and died or emerged reflecting lack of scientific coherence (Carley, Hummon, and Harty, 1993). The critical path consisted of a number of key features: 1) Concepts that built throughout include the notion that resource availability drives conflict, which emerged in the 1960s-1990s and continued on until 2011. More recent intrastate studies that focused on inequalities emerged from interstate studies on the democracy of peace earlier on the path. 2) Recent research on the path focused on forecasting conflict, which depends on well-developed metrics and theories to model. 3) We used keyword analysis to independently show how the CP was topically linked (i.e., through democracy, modeling, resources, and geography). Publically available conflict datasets developed early on helped shape the operationalization of conflict. In fact, 94% of the works on the CP that analyzed data either relied on publically available datasets, or they generated a dataset and made it public. These datasets appear to be important in the development of conflict research, allowing for cross-case comparisons, and comparisons to previous works. PMID:27124569

The Role of Datasets on Scientific Influence within Conflict Research.

PubMed

Van Holt, Tracy; Johnson, Jeffery C; Moates, Shiloh; Carley, Kathleen M

2016-01-01

We inductively tested if a coherent field of inquiry in human conflict research emerged in an analysis of published research involving "conflict" in the Web of Science (WoS) over a 66-year period (1945-2011). We created a citation network that linked the 62,504 WoS records and their cited literature. We performed a critical path analysis (CPA), a specialized social network analysis on this citation network (~1.5 million works), to highlight the main contributions in conflict research and to test if research on conflict has in fact evolved to represent a coherent field of inquiry. Out of this vast dataset, 49 academic works were highlighted by the CPA suggesting a coherent field of inquiry; which means that researchers in the field acknowledge seminal contributions and share a common knowledge base. Other conflict concepts that were also analyzed-such as interpersonal conflict or conflict among pharmaceuticals, for example, did not form their own CP. A single path formed, meaning that there was a cohesive set of ideas that built upon previous research. This is in contrast to a main path analysis of conflict from 1957-1971 where ideas didn't persist in that multiple paths existed and died or emerged reflecting lack of scientific coherence (Carley, Hummon, and Harty, 1993). The critical path consisted of a number of key features: 1) Concepts that built throughout include the notion that resource availability drives conflict, which emerged in the 1960s-1990s and continued on until 2011. More recent intrastate studies that focused on inequalities emerged from interstate studies on the democracy of peace earlier on the path. 2) Recent research on the path focused on forecasting conflict, which depends on well-developed metrics and theories to model. 3) We used keyword analysis to independently show how the CP was topically linked (i.e., through democracy, modeling, resources, and geography). Publically available conflict datasets developed early on helped shape the operationalization of conflict. In fact, 94% of the works on the CP that analyzed data either relied on publically available datasets, or they generated a dataset and made it public. These datasets appear to be important in the development of conflict research, allowing for cross-case comparisons, and comparisons to previous works.

Citation Analysis for Collection Development: A Comparative Study of Eight Humanities Fields

ERIC Educational Resources Information Center

Knievel, Jennifer E.; Kellsey, Charlene

2005-01-01

This study analyzes 9,131 citations from the 2002 volumes of journals in eight humanities fields: art, classics, history, linguistics, literature, music, philosophy, and religion. This study found that citation patterns varied widely among humanities disciplines. Due to these differences, it is important for librarians with humanities collection…

100 classic papers of interventional radiology: A citation analysis

PubMed Central

Crockett, Matthew T; Browne, Ronan FJ; MacMahon, Peter J; Lawler, Leo

2015-01-01

AIM: To define the 100 citation classic papers of interventional radiology. METHODS: Using the database of Journal Citation Reports the 40 highest impact factor radiology journals were chosen. From these journals the 100 most cited interventional radiology papers were chosen and analysed. RESULTS: The top paper received 2497 citations and the 100th paper 200 citations. The average number of citations was 320. Dates of publication ranged from 1953 - 2005. Most papers originated in the United States (n = 67) followed by Italy (n = 20) and France (n = 10). Harvard University (n = 18) and Osped Civile (n = 11) were the most prolific institutions. Ten journals produced all of the top 100 papers with “Radiology” and “AJR” making up the majority. SN Goldberg and T Livraghi were the most prolific authors. Nearly two thirds of the papers (n = 61) were published after 1990. CONCLUSION: This analysis identifies many of the landmark interventional radiology papers and provides a fascinating insight into the changing discourse within the field. It also identifies topics, authors and institutions which have impacted greatly on the specialty. PMID:25918585

National citation patterns of NEJM, The Lancet, JAMA and The BMJ in the lay press: a quantitative content analysis

PubMed Central

Rius, Roser

2017-01-01

Objectives To analyse the total number of newspaper articles citing the four leading general medical journals and to describe national citation patterns. Design Quantitative content analysis. Setting/sample Full text of 22 general newspapers in 14 countries over the period 2008–2015, collected from LexisNexis. The 14 countries have been categorised into four regions: the USA, the UK, Western World (European countries other than the UK, and Australia, New Zealand and Canada) and Rest of the World (other countries). Main outcome measure Press citations of four medical journals (two American: NEJM and JAMA; and two British: The Lancet and The BMJ) in 22 newspapers. Results British and American newspapers cited some of the four analysed medical journals about three times a week in 2008–2015 (weekly mean 3.2 and 2.7 citations, respectively); the newspapers from other Western countries did so about once a week (weekly mean 1.1), and those from the Rest of the World cited them about once a month (monthly mean 1.1). The New York Times cited above all other newspapers (weekly mean 4.7). The analysis showed the existence of three national citation patterns in the daily press: American newspapers cited mostly American journals (70.0% of citations), British newspapers cited mostly British journals (86.5%) and the rest of the analysed press cited more British journals than American ones. The Lancet was the most cited journal in the press of almost all Western countries outside the USA and the UK. Multivariate correspondence analysis confirmed the national patterns and showed that over 85% of the citation data variability is retained in just one single new variable: the national dimension. Conclusion British and American newspapers are the ones that cite the four analysed medical journals more often, showing a domestic preference for their respective national journals; non-British and non-American newspapers show a common international citation pattern. PMID:29133334

The citation effect: In-text citations moderately increase belief in trivia claims.

PubMed

Putnam, Adam L; Phelps, Riley J

2017-09-01

Authors use in-text citations to provide support for their claims and to acknowledge work done by others. How much do such citations increase the believability of an author's claims? It is possible that readers (especially novices) might ignore citations as they read. Alternatively, citations ostensibly serve as evidence for a claim, which justifies using them as a basis for a judgment of truth. In six experiments, subjects saw true and false trivia claims of varying difficulty presented with and without in-text citations (e.g., The cat is the only pet not mentioned in the bible) and rated the likelihood that each statement was true. A mini meta-analysis summarizing the results of all six experiments indicated that citations had a small but reliable effect on judgments of truth (d=0.13, 95% CI [0.06, 0.20]) suggesting that subjects were more likely to believe claims that were presented with citations than without. We discuss this citation effect and how it is similar and different to related research suggesting that nonprobative photos can increase judgments of truth. Copyright © 2017 Elsevier B.V. All rights reserved.

Characteristics and trends on global environmental monitoring research: a bibliometric analysis based on Science Citation Index Expanded.

PubMed

Zhang, Di; Fu, Hui-Zhen; Ho, Yuh-Shan

2017-11-01

A bibliometric analysis based on the Science Citation Index Expanded from Web of Science was carried out to provide insights into research activities and trends of the environmental monitoring from 1993 to 2012. Study emphases covered publication outputs, language, categories, journals, countries/territories, institutions, words, and hot issues. The results indicated that the annual output of environmental monitoring publications increased steadily. The environmental sciences and analytical chemistry were the two most common categories. Environmental Monitoring and Assessment published the most articles. The USA and the UK ranked in the top two in terms of all five indicators. The U.S. Environmental Protection Agency took the leading position of the institutions in terms of publication output. The synthesized analysis by words in title, author keywords, and KeyWords Plus provided important clues for hot issues. Researchers paid more attention on water environment monitoring than other environmental factors. The contaminants including organic contaminants, heavy metal, and radiation were most common research focuses, and the organic contaminants and heavy metal of the degree of concern were gradually rising. Sensor and biosensor played an important role in the field of environmental monitoring devices. In addition to conventional device detection method, the remote sensing, GIS, and wireless sensor networks were the mainstream environmental monitoring methods. The international organization, social awareness, and the countries' positive and effective political and policies promoted the published articles.

BiGG: a Biochemical Genetic and Genomic knowledgebase of large scale metabolic reconstructions

PubMed Central

2010-01-01

Background Genome-scale metabolic reconstructions under the Constraint Based Reconstruction and Analysis (COBRA) framework are valuable tools for analyzing the metabolic capabilities of organisms and interpreting experimental data. As the number of such reconstructions and analysis methods increases, there is a greater need for data uniformity and ease of distribution and use. Description We describe BiGG, a knowledgebase of Biochemically, Genetically and Genomically structured genome-scale metabolic network reconstructions. BiGG integrates several published genome-scale metabolic networks into one resource with standard nomenclature which allows components to be compared across different organisms. BiGG can be used to browse model content, visualize metabolic pathway maps, and export SBML files of the models for further analysis by external software packages. Users may follow links from BiGG to several external databases to obtain additional information on genes, proteins, reactions, metabolites and citations of interest. Conclusions BiGG addresses a need in the systems biology community to have access to high quality curated metabolic models and reconstructions. It is freely available for academic use at http://bigg.ucsd.edu. PMID:20426874

The historical path of evaluation as reflected in the content of Evaluation and Program Planning.

PubMed

Ayob, Abu H; Morell, Jonathan A

2016-10-01

This paper examines the intellectual structure of evaluation by means of citation analysis. By using various article attributes and citation counts in Google Scholar and (Social) Science Citation Index Web of Science, we analyze all articles published in Evaluation and Program Planning from 2000 until 2012. We identify and discuss the characteristics and development of the field as reflected in the history of those citations. Copyright © 2016 Elsevier Ltd. All rights reserved.

National parks. (Latest citations from the NTIS database). Published Search

DOE Office of Scientific and Technical Information (OSTI.GOV)

Not Available

The bibliography contains citations concerning U.S. and foreign national parks. Citations discuss terrestrial biology, botany, coastal biology, fire ecology, endangered and exotic species, and resource analysis. Topics also include the impact of park visitors on natural resources in the parks, resource management, planning, and mapping. Information about specific parks including Rocky Mountain, Great Smoky Mountains, Redwood, Grand Canyon, Sequoia, Glacier Bay, and others is presented. (Contains a minimum of 55 citations and includes a subject term index and title list.)

Inferring gene and protein interactions using PubMed citations and consensus Bayesian networks.

PubMed

Deeter, Anthony; Dalman, Mark; Haddad, Joseph; Duan, Zhong-Hui

2017-01-01

The PubMed database offers an extensive set of publication data that can be useful, yet inherently complex to use without automated computational techniques. Data repositories such as the Genomic Data Commons (GDC) and the Gene Expression Omnibus (GEO) offer experimental data storage and retrieval as well as curated gene expression profiles. Genetic interaction databases, including Reactome and Ingenuity Pathway Analysis, offer pathway and experiment data analysis using data curated from these publications and data repositories. We have created a method to generate and analyze consensus networks, inferring potential gene interactions, using large numbers of Bayesian networks generated by data mining publications in the PubMed database. Through the concept of network resolution, these consensus networks can be tailored to represent possible genetic interactions. We designed a set of experiments to confirm that our method is stable across variation in both sample and topological input sizes. Using gene product interactions from the KEGG pathway database and data mining PubMed publication abstracts, we verify that regardless of the network resolution or the inferred consensus network, our method is capable of inferring meaningful gene interactions through consensus Bayesian network generation with multiple, randomized topological orderings. Our method can not only confirm the existence of currently accepted interactions, but has the potential to hypothesize new ones as well. We show our method confirms the existence of known gene interactions such as JAK-STAT-PI3K-AKT-mTOR, infers novel gene interactions such as RAS- Bcl-2 and RAS-AKT, and found significant pathway-pathway interactions between the JAK-STAT signaling and Cardiac Muscle Contraction KEGG pathways.

What Is Bibliometrics and Why Should You Care?

DOE Office of Scientific and Technical Information (OSTI.GOV)

McBurney, Melissa K.; Novak, Pamela L.

When we help an author publish a book or journal article, is that the end of the job? Viewed in the aggregate, a company's publications represent one of its greatest business assets. Can professionals in the information and communication fields help their company understand the return on its investment in publishing? The field of bibliometrics studies publication patterns by using quantitative analysis and statistics. Bibliometrics can be either descriptive, such as looking at how many articles your organization has published, or evaluative, such as using citation analysis to look at how those articles influenced subsequent research by others. Counting publicationsmore » can be useful for doing some comparisons, but citation analysis allows you to look at the impact those articles have had on others by determining how often they are cited. Citation analysis can also show what journals, organizations, and even countries have high impact in different fields of research. The Institute for Scientific Information (ISI) has been a leader in the citation analysis field since 1961, when ISI published the first Science Citation Index. Pacific Northwest National Laboratory has been using data from ISI for both descriptive and evaluative purposes. This data is used to track what the researchers at the Laboratory are writing and then comparing research groups within the organization over a period of years to identify trends and opportunities. PNNL has also used citation analysis to explore what organizations and academic institutions are doing research in certain fields for partnering opportunities. We have realized that the electronic system PNNL uses to approve and track its publications contains very valuable bibliometric data that can be used to make decisions about business directions for the company.« less

Differences in citation frequency of clinical and basic science papers in cardiovascular research.

PubMed

Opthof, Tobias

2011-06-01

In this article, a critical analysis is performed on differences in citation frequency of basic and clinical cardiovascular papers. It appears that the latter papers are cited at about 40% higher frequency. The differences between the largest number of citations of the most cited papers are even larger. It is also demonstrated that the groups of clinical and basic cardiovascular papers are also heterogeneous concerning citation frequency. It is concluded that none of the existing citation indicators appreciates these differences. At this moment these indicators should not be used for quality assessment of individual scientists and scientific niches with small numbers of scientists.

Citation analysis of publications of NASU mechanicians in the database of the Thomson Reuters Institute for Scientific Information

NASA Astrophysics Data System (ADS)

Guz, A. N.; Rushchitsky, J. J.

2009-07-01

The paper performs a citation analysis of publications of mechanicians of the National Academy of Sciences of Ukraine (NASU) based on information tools developed by the Thomson Reuters Institute for Scientific Information. Two groups of mechanicians are considered: representatives of the S. P. Timoshenko Institute of Mechanics of the NASU (NASU members, heads of departments) and members (academicians) of the NASU Division of Mechanics. Three elements of the Citation Report (Results Found, Citation Index (Sum of the Times Cited), h-index) are presented for each scientist. This paper may be considered as a follow-up on the papers [6-11] published by Prikladnaya Mekhanika ( International Applied Mechanics) in 2005-2009

A historical review of classic articles in surgery field.

PubMed

Long, Xiao; Huang, Jiu-Zuo; Ho, Yuh-Shan

2014-11-01

Surgery is one of the most rapidly developing specialties in the past century. Diagnostic methods, operation technique, and knowledge of the diseases are changing continuously. In the academic history, lots of classic papers brought advances for surgery. They were accepted and cited numerously by the medical specialists all over the world. Citation analysis reflects the recognition a work has received in the scientific community by its peers. The articles in the field of surgery have been cited at least 1,000 times since its publication to 2011 were analyzed. By categorizing the publication year, journals, authors, institutions, countries, life citation cycles, level of evidence provided, and characteristics of the topmost articles, we intended to determine what qualities make the articles important to the specialty. The methodology used in this study was based on the Science Citation Index Expanded database of Web of Science from Thomson Reuters. According to Journal Citation Reports of 2011, it indexes 8,336 journals with citation references across 176Web of Science categories in science edition. Level of evidence of these articles was graded according to the standard provided by Oxford Centre for Evidence-Based Medicine. Totally 36 articles have been cited at least 1,000 times since their publication to the year 2011. According to their citation histories, 35 articles were further evaluated. These topmost articles covered 8 subspecialties of surgery and were published in 17 journals. The publication year varied from 1940 to 1999 and the articles provided different level of evidence, most of which are retrospective studies of case series. Six articles were research articles including animal model, histology analysis, and laboratory research. The others were clinical articles. From the results of citation analysis, the classic articles are not always in top citations. In addition, some of these articles have no citations after several years post their publication. The introduction of a commonly used classification or scoring system is a major factor in propelling citation by other authors. The most cited articles in surgery present their long academic life in spite of their level of evidence and journal impact factor in which they were published. Copyright © 2014 Elsevier Inc. All rights reserved.

References that anyone can edit: review of Wikipedia citations in peer reviewed health science literature

PubMed Central

Hladkowicz, Emily S; Pigford, Ashlee-Ann E; Ufholz, Lee-Anne; Postonogova, Tatyana; Shin, Eunkyung; Boet, Sylvain

2014-01-01

Objectives To examine indexed health science journals to evaluate the prevalence of Wikipedia citations, identify the journals that publish articles with Wikipedia citations, and determine how Wikipedia is being cited. Design Bibliometric analysis. Study selection Publications in the English language that included citations to Wikipedia were retrieved using the online databases Scopus and Web of Science. Data sources To identify health science journals, results were refined using Ulrich’s database, selecting for citations from journals indexed in Medline, PubMed, or Embase. Using Thomson Reuters Journal Citation Reports, 2011 impact factors were collected for all journals included in the search. Data extraction Resulting citations were thematically coded, and descriptive statistics were calculated. Results 1433 full text articles from 1008 journals indexed in Medline, PubMed, or Embase with 2049 Wikipedia citations were accessed. The frequency of Wikipedia citations has increased over time; most citations occurred after December 2010. More than half of the citations were coded as definitions (n=648; 31.6%) or descriptions (n=482; 23.5%). Citations were not limited to journals with a low or no impact factor; the search found Wikipedia citations in many journals with high impact factors. Conclusions Many publications are citing information from a tertiary source that can be edited by anyone, although permanent, evidence based sources are available. We encourage journal editors and reviewers to use caution when publishing articles that cite Wikipedia. PMID:24603564

Mapping knowledge domains: Characterizing PNAS

PubMed Central

Boyack, Kevin W.

2004-01-01

A review of data mining and analysis techniques that can be used for the mapping of knowledge domains is given. Literature mapping techniques can be based on authors, documents, journals, words, and/or indicators. Most mapping questions are related to research assessment or to the structure and dynamics of disciplines or networks. Several mapping techniques are demonstrated on a data set comprising 20 years of papers published in PNAS. Data from a variety of sources are merged to provide unique indicators of the domain bounded by PNAS. By using funding source information and citation counts, it is shown that, on an aggregate basis, papers funded jointly by the U.S. Public Health Service (which includes the National Institutes of Health) and non-U.S. government sources outperform papers funded by other sources, including by the U.S. Public Health Service alone. Grant data from the National Institute on Aging show that, on average, papers from large grants are cited more than those from small grants, with performance increasing with grant amount. A map of the highest performing papers over the 20-year period was generated by using citation analysis. Changes and trends in the subjects of highest impact within the PNAS domain are described. Interactions between topics over the most recent 5-year period are also detailed. PMID:14963238

The 50 Most Cited Papers in Craniofacial Anomalies and Craniofacial Surgery

PubMed Central

Joyce, Cormac W; Thomas, Sangeetha; Concannon, Elizabeth; Murray, Dylan

2015-01-01

Background Citation analysis is a recognized scientometric method of classifying cited articles according to the frequency of which they have been referenced. The total number of citations an article receives is considered to reflect it's significance among it's peers. Methods Until now, a bibliometric analysis has never been performed in the specialty of craniofacial anomalies and craniofacial surgery. This citation analysis generates an extensive list of the 50 most influential papers in this developing field. Journals specializing in craniofacial surgery, maxillofacial surgery, plastic surgery, neurosurgery, genetics and pediatrics were searched to demonstrate which articles have cultivated the specialty within the past 55 years. Results The results show an intriguing compilation of papers which outline the fundamental knowledge of craniofacial anomalies and the developments of surgical techniques to manage these patients. Conclusions This citation analysis provides a summation of the current most popular trends in craniofacial literature. These esteemed papers aid to direct our decision making today within this specialty. PMID:26430626

An Analysis of World-Wide Contributions to "Nuclear Science Abstracts," Volume 22 (1968).

ERIC Educational Resources Information Center

Vaden, William M.

Beginning with volume 20, "Nuclear Science Abstracts" (NSA) citations, exclusive of abstracts, have been recorded on magnetic tape. The articles have been categorized by 34 elements of the citations such as title, author, source, journal, report number, etc. At the time of this report more than 130,000 citations had been stored for…

Evaluating Academic Journals Using Impact Factor and Local Citation Score

ERIC Educational Resources Information Center

Chung, Hye-Kyung

2007-01-01

This study presents a method for journal collection evaluation using citation analysis. Cost-per-use (CPU) for each title is used to measure cost-effectiveness with higher CPU scores indicating cost-effective titles. Use data are based on the impact factor and locally collected citation score of each title and is compared to the cost of managing…

Analyzing Data Citations to Assess the Scientific and Societal Value of Scientific Data

NASA Astrophysics Data System (ADS)

Chen, R. S.; Downs, R. R.

2012-12-01

Stakeholders in the creation, distribution, support, funding, and use of scientific data can benefit by understanding the value that the data have for society and science. For decades, the scientific community has been using citations of articles in the published scientific literature as one of the primary measures used for evaluating the performance of scientists, departments, institutions, and scientific disciplines. Similarly, citations in the published literature of scientific data may be useful for measuring and assessing the value of the scientific data and the performance of the individuals, projects, programs, and organizations that have contributed to the data and their use. The results of citation analysis and other assessments of the value of data also can contribute to planning for future data collection, development, distribution, and preservation efforts. The planned release of new data citation indexes and the more widespread adoption of unique data identifiers and automated attribution mechanisms have the potential to improve significantly the capabilities for analyzing citations of scientific data. In addition, rapid developments in the systems and capabilities for disseminating data, along with education and workforce development on the importance of data attribution and on techniques for data citation, can improve practices for citing scientific data. Such practices need to lead not only to better aggregate statistics about data citation, but also to improved characterization and understanding of the impact of data use in terms of the benefits for science and society. Analyses of citations in the scientific literature were conducted for data that were distributed by an interdisciplinary scientific data center during a five-year period (1997 - 2011), to identify the scientific fields represented by the journals and books in which the data were cited. Secondary citation analysis also was conducted for a sample of scientific publications that used the data extensively to identify the potential impact of the data on the scientific fields represented by those journals. Furthermore, an initial analysis was conducted of citations that appeared in non-peer-reviewed publications and the popular media to assess the potential policy and educational impacts of these data. The initial results of these analyses demonstrate the significant challenges that remain for assessing the value of scientific data to both science and society.

Citation Rate Predictors in the Plastic Surgery Literature.

PubMed

Lopez, Joseph; Calotta, Nicholas; Doshi, Ankur; Soni, Ashwin; Milton, Jacqueline; May, James W; Tufaro, Anthony P

The purpose of this study is to determine and characterize the scientific and nonscientific factors that influence the rate of article citation in the field of plastic surgery. Cross-sectional study. We reviewed all entries in Annals of Plastic Surgery and Journal of Plastic, Reconstructive, and Aesthetic Surgery from January 1, 2007 to December 31, 2007; and Plastic and Reconstructive Surgery from January 1, 2007 to December 31, 2008. All scientific articles were analyzed and several article characteristics were extracted. The number of citations at 5 years was collected as the outcome variable. A multivariable analysis was performed to determine which variables were associated with higher citations rates. A total of 2456 articles were identified of which only 908 fulfilled the inclusion criteria. Most studies were publications in the fields of reconstructive (26.3%) or pediatric/craniofacial (17.6%) surgery. The median number of citations 5 years from publication was 8. In the multivariable analysis, factors associated with higher citations rates were subspecialty field (p = 0.0003), disclosed conflict of interest (p = 0.04), number of authors (p = 0.04), and journal (p = 0.02). We have found that higher level of evidence (or other study methodology factors) is not associated with higher citation rates. Instead, conflict of interest, subspecialty topic, journal, and number of authors are strong predictors of high citation rates in plastic surgery. Copyright © 2017 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

Detection and characterization of translational research in cancer and cardiovascular medicine

PubMed Central

2011-01-01

Background Scientists and experts in science policy have become increasingly interested in strengthening translational research. Efforts to understand the nature of translational research and monitor policy interventions face an obstacle: how can translational research be defined in order to facilitate analysis of it? We describe methods of scientometric analysis that can do this. Methods We downloaded bibliographic and citation data from all articles published in 2009 in the 75 leading journals in cancer and in cardiovascular medicine (roughly 15,000 articles for each field). We calculated citation relationships between journals and between articles and we extracted the most prevalent natural language concepts. Results Network analysis and mapping revealed polarization between basic and clinical research, but with translational links between these poles. The structure of the translational research in cancer and cardiac medicine is, however, quite different. In the cancer literature the translational interface is composed of different techniques (e.g., gene expression analysis) that are used across the various subspecialties (e.g., specific tumor types) within cancer research and medicine. In the cardiac literature, the clinical problems are more disparate (i.e., from congenital anomalies to coronary artery disease); although no distinctive translational interface links these fields, translational research does occur in certain subdomains, especially in research on atherosclerosis and hypertension. Conclusions These techniques can be used to monitor the continuing evolution of translational research in medicine and the impact of interventions designed to enhance it. PMID:21569299

Diet History Questionnaire: Suggested Citations

Cancer.gov

Use of the Diet History Questionnaire and Diet*Calc Analysis Software for publication purposes should contain a citation which includes version information for the software, questionnaire, and nutrient database.

Productivity trends and collaboration patterns: A diachronic study in the eating disorders field

PubMed Central

Valderrama-Zurián, Juan-Carlos; Aguilar-Moya, Remedios; Cepeda-Benito, Antonio; Navarro-Moreno, María-Ángeles; Gandía-Balaguer, Asunción; Aleixandre-Benavent, Rafael

2017-01-01

Objective The present study seeks to extend previous bibliometric studies on eating disorders (EDs) by including a time-dependent analysis of the growth and evolution of multi-author collaborations and their correlation with ED publication trends from 1980 to 2014 (35 years). Methods Using standardized practices, we searched Web of Science (WoS) Core Collection (WoSCC) (indexes: Science Citation Index-Expanded [SCIE], & Social Science Citation Index [SSCI]) and Scopus (areas: Health Sciences, Life Sciences, & Social Sciences and Humanities) to identify a large sample of articles related to EDs. We then submitted our sample of articles to bibliometric and graph theory analyses to identify co-authorship and social network patterns. Results We present a large number of detailed findings, including a clear pattern of scientific growth measured as number of publications per five-year period or quinquennium (Q), a tremendous increase in the number of authors attracted by the ED subject, and a very high and steady growth in collaborative work. Conclusions We inferred that the noted publication growth was likely driven by the noted increase in the number of new authors per Q. Social network analyses suggested that collaborations within ED follow patters of interaction that are similar to well established and recognized disciplines, as indicated by the presence of a “giant cluster”, high cluster density, and the replication of the “small world” phenomenon—the principle that we are all linked by short chains of acquaintances. PMID:28850569

Assessing worldwide research activity on probiotics in pediatrics using Scopus database: 1994-2014.

PubMed

Sweileh, Waleed M; Shraim, Naser Y; Al-Jabi, Samah W; Sawalha, Ansam F; Rahhal, Belal; Khayyat, Rasha A; Zyoud, Sa'ed H

2016-01-01

A wide variety of probiotic products has been introduced into the market in the past decade. Research trends and activity on probiotics help understand how these products were evolved and their potential future role in medicine. The objective of this study was to assess the research activity on probiotics in pediatrics using bibliometric indicators and network visualization. Original and review articles on probiotics in pediatrics published worldwide were retrieved from SciVerse, Scopus (1994-2014) and analyzed. VOSviewer was used for network visualization. The total number of documents published on probiotics in pediatrics was 2817. Research activity on probiotics in pediatrics showed approximately 90- fold increase during the study period. Approximately 22 % of published articles originated from USA and has the greatest share, however, Finland ranked first when data were stratified by population or income. The most productive institution in this field was Turku University in Finland with 82 (2.91 %) articles. Half of the prolific authors were also from Finland. Most of the published research activity appeared in Journal of Pediatric Gastroenterology and Nutrition. Most frequently encountered title terms include nutrition, infant formula, necrotizing enetrocolitis, allergy, and diarrhea. The total number of citations for the retreived documents documents was 70991, and the average citation per article was 25.20. Interest in probiotic research and its potential benefits in pediatric ailments is relatively recent but significantly increasing. Bibliometric analysis can be used as an indicator of the importance and growth of probiotic use in pediatrics.

Novel citation-based search method for scientific literature: application to meta-analyses.

PubMed

Janssens, A Cecile J W; Gwinn, M

2015-10-13

Finding eligible studies for meta-analysis and systematic reviews relies on keyword-based searching as the gold standard, despite its inefficiency. Searching based on direct citations is not sufficiently comprehensive. We propose a novel strategy that ranks articles on their degree of co-citation with one or more "known" articles before reviewing their eligibility. In two independent studies, we aimed to reproduce the results of literature searches for sets of published meta-analyses (n = 10 and n = 42). For each meta-analysis, we extracted co-citations for the randomly selected 'known' articles from the Web of Science database, counted their frequencies and screened all articles with a score above a selection threshold. In the second study, we extended the method by retrieving direct citations for all selected articles. In the first study, we retrieved 82% of the studies included in the meta-analyses while screening only 11% as many articles as were screened for the original publications. Articles that we missed were published in non-English languages, published before 1975, published very recently, or available only as conference abstracts. In the second study, we retrieved 79% of included studies while screening half the original number of articles. Citation searching appears to be an efficient and reasonably accurate method for finding articles similar to one or more articles of interest for meta-analysis and reviews.

Trends in biomedical informatics: automated topic analysis of JAMIA articles.

PubMed

Han, Dong; Wang, Shuang; Jiang, Chao; Jiang, Xiaoqian; Kim, Hyeon-Eui; Sun, Jimeng; Ohno-Machado, Lucila

2015-11-01

Biomedical Informatics is a growing interdisciplinary field in which research topics and citation trends have been evolving rapidly in recent years. To analyze these data in a fast, reproducible manner, automation of certain processes is needed. JAMIA is a "generalist" journal for biomedical informatics. Its articles reflect the wide range of topics in informatics. In this study, we retrieved Medical Subject Headings (MeSH) terms and citations of JAMIA articles published between 2009 and 2014. We use tensors (i.e., multidimensional arrays) to represent the interaction among topics, time and citations, and applied tensor decomposition to automate the analysis. The trends represented by tensors were then carefully interpreted and the results were compared with previous findings based on manual topic analysis. A list of most cited JAMIA articles, their topics, and publication trends over recent years is presented. The analyses confirmed previous studies and showed that, from 2012 to 2014, the number of articles related to MeSH terms Methods, Organization & Administration, and Algorithms increased significantly both in number of publications and citations. Citation trends varied widely by topic, with Natural Language Processing having a large number of citations in particular years, and Medical Record Systems, Computerized remaining a very popular topic in all years. © The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

At the Leading Front of Neuroscience: A Bibliometric Study of the 100 Most-Cited Articles

PubMed Central

Yeung, Andy W. K.; Goto, Tazuko K.; Leung, W. Keung

2017-01-01

Background: It might be difficult for clinicians and scientists to identify comprehensively the major research topics given the large number of publications. A bibliometric report that identifies the most-cited articles within the body of the relevant literature may provide insight and guidance for readers toward scientific topics that are considered important for researchers and all relevant workers of academia. To our knowledge, there is a lack of an overall evaluation of the most-cited articles and hence of a comprehensive review of major research topics in neuroscience. The present study was therefore proposed to analyze and characterize the 100 most-cited articles in neuroscience. Methods: Based on data provided from Web of Science, the 100 most-cited articles relevant to neuroscience were identified and characterized. Information was extracted for each included article to assess for the publication year, journal published, impact factor, adjusted impact factor, citation count (total, normalized, and adjusted), reference list, authorship and article type. Results: The total citation count for the 100 most-cited articles ranged from 7,326 to 2,138 (mean 3087.0) and the normalized citation count ranged from 0.163 to 0.007 (mean 0.054). The majority of the 100 articles were research articles (67%) and published from 1996 to 2000 (30%). The author and journal with the largest share of these 100 articles were Stephen M. Smith (n = 6) and Science (n = 13) respectively. Among the 100 most-cited articles, 37 were interlinked via citations of one another, and they could be classified into five major topics, four of which were scientific topics, namely neurological disorders, prefrontal cortex/emotion/reward, brain network, and brain mapping. The remaining topic was methodology. Interestingly 41 out of 63 of the rest, non-interlinked articles could also be categorized under the above five topics. Adjusted journal impact factor among these 100 articles did not appear to be associated with the corresponding adjusted citation count. Conclusion: The current study compiles a comprehensive list and analysis of the 100 most-cited articles relevant to neuroscience that enables the comprehensive identification and recognition of the most important and relevant research topics concerned. PMID:28785211

At the Leading Front of Neuroscience: A Bibliometric Study of the 100 Most-Cited Articles.

PubMed

Yeung, Andy W K; Goto, Tazuko K; Leung, W Keung

2017-01-01

Background: It might be difficult for clinicians and scientists to identify comprehensively the major research topics given the large number of publications. A bibliometric report that identifies the most-cited articles within the body of the relevant literature may provide insight and guidance for readers toward scientific topics that are considered important for researchers and all relevant workers of academia. To our knowledge, there is a lack of an overall evaluation of the most-cited articles and hence of a comprehensive review of major research topics in neuroscience. The present study was therefore proposed to analyze and characterize the 100 most-cited articles in neuroscience. Methods: Based on data provided from Web of Science, the 100 most-cited articles relevant to neuroscience were identified and characterized. Information was extracted for each included article to assess for the publication year, journal published, impact factor, adjusted impact factor, citation count (total, normalized, and adjusted), reference list, authorship and article type. Results: The total citation count for the 100 most-cited articles ranged from 7,326 to 2,138 (mean 3087.0) and the normalized citation count ranged from 0.163 to 0.007 (mean 0.054). The majority of the 100 articles were research articles (67%) and published from 1996 to 2000 (30%). The author and journal with the largest share of these 100 articles were Stephen M. Smith ( n = 6) and Science ( n = 13) respectively. Among the 100 most-cited articles, 37 were interlinked via citations of one another, and they could be classified into five major topics, four of which were scientific topics, namely neurological disorders, prefrontal cortex/emotion/reward, brain network, and brain mapping. The remaining topic was methodology. Interestingly 41 out of 63 of the rest, non-interlinked articles could also be categorized under the above five topics. Adjusted journal impact factor among these 100 articles did not appear to be associated with the corresponding adjusted citation count. Conclusion: The current study compiles a comprehensive list and analysis of the 100 most-cited articles relevant to neuroscience that enables the comprehensive identification and recognition of the most important and relevant research topics concerned.

Islamic World Science Citation Center (ISC): Evaluating Scholary Journals Based on Citation Analysis

PubMed Central

Mehrad, Jaffar; Arastoopoor, Sholeh

2012-01-01

Introduction: Citation analysis is currently one of the most widely used metrics for analyzing the scientific contribution in different fields. The Islamic World Science Citation Center (ISC) aims at promoting technical cooperation among Muslim scientists and their respected centers based on these theories. It also facilitates the accessibility of knowledge and research contribution among them. This paper aims at revealing some of the outmost features of ISC databases, in order to give a fairly clear view of what it is and what are its products. The paper consists of three major parts. After an introduction about the Islamic World Science Citation Center, the paper deals with major tools and products of ISC. In the third part ISCs’ journal Submission system is presented as an automatic means, by which users can upload journals’ papers into the respected databases. Conclusion: Some complementary remarks have been made regarding the current state of ISC and its future plans. PMID:23322953

Highly Cited Occupational Therapy Articles in the Science Citation Index Expanded and Social Sciences Citation Index: A Bibliometric Analysis.

PubMed

Brown, Ted; Gutman, Sharon A; Ho, Yuh-Shan; Fong, Kenneth N K

A bibliometric analysis was completed of highly cited occupational therapy literature and authors published from 1991 to 2014 and accessible in the Science Citation Index Expanded (SCI-Expanded) and Social Sciences Citation Index (SSCI) databases. Data were obtained from the SCI-Expanded and SSCI. Articles referenced >100 times were categorized as highly cited articles (HCA). Of 6,486 articles found, 31 were categorized as HCA. The American Journal of Occupational Therapy published the largest number of HCA (n = 8; 26%). The 31 HCA were distributed across seven countries: United States (20 articles), Canada (3), United Kingdom (3), Australia (2), the Netherlands (1), New Zealand (1), and Sweden (1). The three authors with the highest Y-index were S. J. Page, F. Clark, and W. Dunn. A latency period of 4 to 5 yr post-publication appears to be needed for a journal article to gain citations. Copyright © 2017 by the American Occupational Therapy Association, Inc.

Scientific citations favor positive results: a systematic review and meta-analysis.

PubMed

Duyx, Bram; Urlings, Miriam J E; Swaen, Gerard M H; Bouter, Lex M; Zeegers, Maurice P

2017-08-01

Citation bias concerns the selective citation of scientific articles based on their results. We brought together all available evidence on citation bias across scientific disciplines and quantified its impact. An extensive search strategy was applied to the Web of Science Core Collection and Medline, yielding 52 studies in total. We classified these studies on scientific discipline, selection method, and other variables. We also performed random-effects meta-analyses to pool the effect of positive vs. negative results on subsequent citations. Finally, we checked for other determinants of citation as reported in the citation bias literature. Evidence for the occurrence of citation bias was most prominent in the biomedical sciences and least in the natural sciences. Articles with statistically significant results were cited 1.6 (95% confidence interval [CI] 1.3-1.8) times more often than articles with nonsignificant results. Articles in which the authors explicitly conclude to have found support for their hypothesis were cited 2.7 (CI 2.0-3.7) times as often. Article results and journal impact factor were associated with citation more often than any other reported determinant. Similar to what we already know on publication bias, also citation bias can lead to an overrepresentation of positive results and unfounded beliefs. Copyright © 2017 Elsevier Inc. All rights reserved.

Clinical trials in Brazilian journals of ophthalmology: where we are.

PubMed

Lira, Rodrigo Pessoa Cavalcanti; Leal, Franz Schubert; Gonçalves, Fauze Abdulmassih; Amorim, Fernando Henrique Ramos; Felix, João Paulo Fernandes; Arieta, Carlos Eduardo Leite

2013-01-01

To compare clinical trials published in Brazilian journals of ophthalmology and in foreign journals of ophthalmology with respect to the number of citations and the quality of reporting [by applying the Consolidated Standards for Reporting Trials (CONSORT) statement writing standards]. The sample of this systematic review comprised the two Brazilian journals of ophthalmology indexed at Science Citation Index Expanded and six of the foreign journals of ophthalmology with highest Impact Factor® according ISI. All clinical trials (CTs) published from January 2009 to December 2010 at the Brazilians journals and a 1:1 randomized sample of the foreign journals were included. The primary outcome was the number of citations through the end of 2011. Subgroup analysis included language. The secondary outcome included likelihood of citation (cited at least once versus no citation), and presence or absence of CONSORT statement indicators. The citation counts were statistically significantly higher (P<0.001) in the Foreign Group (10.50) compared with the Brazilian Group (0.45). The likelihood citation was statistically significantly higher (P<0.001) in the Foreign Group (20/20 - 100%) compared with the Brazilian Group (8/20 - 40%). The subgroup analysis of the language influence in Brazilian articles showed that the citation counts were statistically significantly higher in the papers published in English (P<0.04). Of 37 possible CONSORT items, the mean for the Foreign Group was 20.55 and for the Brazilian Group was 13.65 (P<0.003). The number of citations and the quality of reporting of clinical trials in Brazilian journals of ophthalmology still are low when compared with the foreign journals of ophthalmology with highest Impact Factor®.

Citation Analysis and Trends in review articles in dentistry.

PubMed

Muniz, Francisco Wilker Mustafa Gomes; Celeste, Roger Keller; Oballe, Harry Juan Rivera; Rösing, Cassiano Kuchenbecker

2018-06-01

This study aimed to describe the trends in dentistry article reviews as well as to compare citation patterns between systematic and narrative reviews. A search strategy was developed, in Scopus database, in order to identify all narrative and systematic reviews published between 2000 and 2015. Original research studies, letters to the editor, editorials, book chapters, and case reports were excluded. From the list of studies available, 30 reviews per year were randomly chosen. The review type, year of publication, number of authors, country of the first author, open access, language, main topic of interest, journal's H index, number of references, and number of citations were extracted by 2 researchers. The number of citations was extracted from the Scopus database. Multivariable regression analysis was used in order to detect the association between citation rate and the independent variables. Overall, 118 and 362 systematic and narrative reviews were included in this study. Throughout the years, the number of systematic reviews has increased from 5.8% to 53.3%. However, the mean number of citations has significantly decreased, and this is affected by the review's year of publication. A trend for lower citation in systematic reviews (Relative risk [RR]: 0.79; 95% confidence interval: 0.75-0.84) has been demonstrated; however, the number of citations of narrative reviews has been increasing over the years (RR: 1.14; 95% confidence interval: 1.08-1.21). From 2000 to 2015, the number of systematic reviews increased substantially. On the other hand, a trend for lower citations of these studies has been observed that is affected over time. Copyright © 2017 Elsevier Inc. All rights reserved.

Bistatic and Multistatic Radar: Surveillance, Countermeasures, and Radar Cross Sections. (Latest citations from the Aerospace Database)

NASA Technical Reports Server (NTRS)

1998-01-01

The bibliography contains citations concerning the design, development, testing, and evaluation of bistatic and multistatic radar used in surveillance and countermeasure technology. Citations discuss radar cross sections, target recognition and characteristics, ghost recognition, motion image compensation, and wavelet analysis. Stealth aircraft design, stealth target tracking, synthetic aperture radar, and space applications are examined.

Bistatic and Multistatic Radar: Surveillance, Countermeasures, and Radar Cross Sections. (Latest Citations from the Aerospace Database)

NASA Technical Reports Server (NTRS)

1997-01-01

The bibliography contains citations concerning the design, development, testing, and evaluation of bistatic and multistatic radar used in surveillance and countermeasure technology. Citations discuss radar cross sections, target recognition and characteristics, ghost recognition, motion image compensation, and wavelet analysis. Stealth aircraft design, stealth target tracking, synthetic aperture radar, and space applications are examined.

The Impact Factor: Implications of Open Access on Quality

ERIC Educational Resources Information Center

Grozanick, Sara E.

2010-01-01

There has been debate about the extent to which open access affects the quality of scholarly work. At the same time, researchers have begun to look for ways to evaluate the quality of open access publications. Dating back to the growth of citation indexes during the 1960s and 1970s, citation analysis--examining citation statistics--has since been…

Comment on ‘Are physicists afraid of mathematics?’

NASA Astrophysics Data System (ADS)

Higginson, Andrew D.; Fawcett, Tim W.

2016-11-01

In 2012, we showed that the citation count for articles in ecology and evolutionary biology declines with increasing density of equations. Kollmer et al (2015 New J. Phys. 17 013036) claim this effect is an artefact of the manner in which we plotted the data. They also present citation data from Physical Review Letters and argue, based on graphs, that citation counts are unrelated to equation density. Here we show that both claims are misguided. We identified the effects in biology not by visual means, but using the most appropriate statistical analysis. Since Kollmer et al did not carry out any statistical analysis, they cannot draw reliable inferences about the citation patterns in physics. We show that when statistically analysed their data actually do provide evidence that in physics, as in biology, citation counts are lower for articles with a high density of equations. This indicates that a negative relationship between equation density and citations may extend across the breadth of the sciences, even those in which researchers are well accustomed to mathematical descriptions of natural phenomena. We restate our assessment that this is a genuine problem and discuss what we think should be done about it.

The top cited articles in occupational therapy: a citation analysis study.

PubMed

Nowrouzi-Kia, Behdin; Chidu, Carla; Carter, Lorraine; McDougall, Alicia; Casole, Jennifer

2018-01-01

The purpose of this study was to identify and review the most cited articles in the occupational therapy field. Using the multi-disciplinary Publish or Perish software to extract data, the top 50 lifetime and annual cited articles were examined. Studies were organized according to the following: year of publication, design, topic, number of authors, country of publication, and number of citations for each cohort. We found that randomized control trials were the dominant design type used in papers with the most lifetime (36.0%) and annual (26.0%) citations. Additionally, in both groups, the most frequently cited articles investigated predictors of functional outcome for patients. This comprehensive citation analysis will inform future research through its identification of major trends and well-established areas of study.

Analysis of Publications and Citations from a Geophysics Research Institute.

ERIC Educational Resources Information Center

Frohlich, Cliff; Resler, Lynn

2001-01-01

Performs an analysis of all 1128 publications produced by scientists during their employment at the University of Texas Institute for Geophysics, thus assessing research performance using as bibliometric indicators such statistics as publications per year, citations per paper, and cited half-lives. Evaluates five different methods for determining…

Questionable Validity of Poisson Assumptions in a Combined Loglinear/MDS Mapping Model.

ERIC Educational Resources Information Center

Gleason, John M.

1993-01-01

This response to an earlier article on a combined log-linear/MDS model for mapping journals by citation analysis discusses the underlying assumptions of the Poisson model with respect to characteristics of the citation process. The importance of empirical data analysis is also addressed. (nine references) (LRW)

Information Science and Information Systems: Conjunct Subjects Disjunct Disciplines.

ERIC Educational Resources Information Center

Ellis, David; Allen, David; Wilson, Tom

1999-01-01

Examines the relationship between information science and information-systems (IS) research through analysis of the subject literature of each field and by citation and co-citation analysis of highly cited researchers in each field. Subfields of user studies and information-retrieval research were selected to represent information-science…

Like a Hurricane: A Citation Analysis of Emergency Management Scholarly Literature

ERIC Educational Resources Information Center

Noe, Jennifer; Furay, Julia

2013-01-01

This bibliometric study used citation analysis to uncover citing characteristics in the burgeoning academic field of emergency management. Of the 281 degree programs listed by the Federal Emergency Management Agency nationwide, those at community colleges accounted for 17% of the total. Using the interdisciplinary database of Academic Search…

Meta-analysis: Problems with Russian Publications.

PubMed

Verbitskaya, E V

2015-01-01

Meta-analysis is a powerful tool to identify Evidence Based medical technologies (interventions) for use in every day practice. Meta-analysis uses statistical approaches to combine results from multiple studies in an effort to increase power (over individual studies), improve estimates of the size of the effect and/or to resolve uncertainty when reports disagree. Meta-analysis is a quantitative, formal study design used to systematically assess previous research studies to derive conclusions from this research. Meta-analysis may provide more precise estimate of the effect of treatment or risk factor for a disease, or other outcomes, than any individual study contributing to the pooled analysis.We have quite a substantial number of Russian medical publications, but not so many Meta-Analyses published in Russian. Russian publications are cited in English language papers not so often. A total of 90% of clinical studies included in published Meta-Analyses incorporate only English language papers. International studies or papers with Russian co-authors are published in English language. The main question is: what is the problem with inclusion of Russian medical publications in Meta-Analysis? The main reasons for this are the following: 1) It is difficult to find Russian papers, difficult to work with them and to work with Russian journals:a. There are single Russian Biomedical Journals, which are translated into English and are included in databases (PubMed, Scopus and other), despite the fact that all of them have English language abstracts.b. The majority the meta-analyses authors use in their work different citation management software such as the Mendeley, Reference Manager, ProCite, EndNote, and others. These citation management systems allow scientists to organize their own literature databases with internet searches and have adds-on for the Office programs what makes process of literature citation very convenient. The Internet sites of the majority of International Journals have built-in tools for saving citations to reference manager software. The majority of articles in Russian journals cannot be captured by citation management systems: they do not have special coding of articles descriptors.c. Some journals still have PDF files of the whole journal issue without dividing it into articles and do not provide any descriptors, making manual time-consuming input of information the only possibility. Moreover the context search of the article content is unavailable for search engines.2) The quality of research. This problem has been discussed for more than twenty years already. Still we have too many publications of poor quality of study design and statistical analysis. With the exception of pharmacological clinical tails, designed and supervised by international Pharma industry, many interventional studies, conducted in Russia, have methodological flaws inferring a high risk of bias:a. Absence of adequate control,b. No standard endpoints, duration of therapy and follow up,c. Absence of randomization and blinding,d. Low power of studies: sample sizes are calculated (if calculated at all) in such a way, that the main goal is to have as small sample size as possible. Very often statisticians have to solve the problem how to substantiate a small number of subjects, that sponsor could afford, instead of calculating the needed sample size to reach enough power.e. No standards of statistical analysis.f. Russian journals do not have standards for description and presentation of study results, in particular, results of statistical analysis (a reader even cannot see what is presented: standard deviation (SD) or standard error of the mean (SEM).We have a long standing experience in analysis of methodological and statistical quality of Russian biomedical publications and have found up to 80% publications with statistical and methodological errors and high risk of bias.In our practice, we had tried to perform two Meta-analyses for two local pharmaceutical products for prevention of stroke recurrence. For the first product, we did not found even two single Russian language studies suitable for the analysis (incomparable populations, different designs, endpoints, doses etc.). For the second product, only four studies had comparable populations and standard internationally approved scales for effectiveness analysis. However, the combinations of scales, the length of treatment and follow up differed widely, so that we could combine the results of only 2 or 3 studies for each end point. Russian researchers have to follow internationally recognised standards in study design, selection of endpoint, timelines and therapy regimens, data analysis and presentation of results. Russian journals need to develop consolidate rules for authors of clinical trials and epidemiological research of result reporting close to international standards. In this case the international Network EQUATOR (Enhancing the QUAlity and Transparency Of health Research http://www.equator-network.org/) is one to be taken into account. In addition, Russian Journals have to improve their online information for better interaction with search engines and citation managers.

Research synergy and drug development: Bright stars in neighboring constellations.

PubMed

Keserci, Samet; Livingston, Eric; Wan, Lingtian; Pico, Alexander R; Chacko, George

2017-11-01

Drug discovery and subsequent availability of a new breakthrough therapeutic or 'cure' is a compelling example of societal benefit from research advances. These advances are invariably collaborative, involving the contributions of many scientists to a discovery network in which theory and experiment are built upon. To document and understand such scientific advances, data mining of public and commercial data sources coupled with network analysis can be used as a digital methodology to assemble and analyze component events in the history of a therapeutic. This methodology is extensible beyond the history of therapeutics and its use more generally supports (i) efficiency in exploring the scientific history of a research advance (ii) documenting and understanding collaboration (iii) portfolio analysis, planning and optimization (iv) communication of the societal value of research. Building upon prior art, we have conducted a case study of five anti-cancer therapeutics to identify the collaborations that resulted in the successful development of these therapeutics both within and across their respective networks. We have linked the work of over 235,000 authors in roughly 106,000 scientific publications that capture the research crucial for the development of these five therapeutics. Applying retrospective citation discovery, we have identified a core set of publications cited in the networks of all five therapeutics and additional intersections in combinations of networks. We have enriched the content of these networks by annotating them with information on research awards from the US National Institutes of Health (NIH). Lastly, we have mapped these awards to their cognate peer review panels, identifying another layer of collaborative scientific activity that influenced the research represented in these networks.

[Scientific collaboration and article citations: practices in medical journals].

PubMed

Bador, Pascal; Lafouge, Thierry

2012-01-01

In order to characterize scientific collaboration the best way is to study co-signature of articles. Two indicators are interesting: number of authors and international character. The objective is to study correlation between these two indicators and citation number. We selected two pharmacy and medicine journals in order to compare practices. We used a sample of about 800 articles published in 2002-2005 for which we collected citations up to 2010. We transformed numeric variables, authors number and citation number, into qualitative variables. "Authors" and "Citations" variables are not independent. Less cited articles are often published by one author or a very small team while international character of articles generally increases citation number. This micro-analysis also allowed us to better understand publication practices. © 2012 Société Française de Pharmacologie et de Thérapeutique.

Nano/micro-electro mechanical systems: a patent view

NASA Astrophysics Data System (ADS)

Hu, Guangyuan; Liu, Weishu

2015-12-01

Combining both bibliometrics and citation network analysis, this research evaluates the global development of micro-electro mechanical systems (MEMS) research based on the Derwent Innovations Index database. We found that worldwide, the growth trajectory of MEMS patents demonstrates an approximate S shape, with United States, Japan, China, and Korea leading the global MEMS race. Evidenced by Derwent class codes, the technology structure of global MEMS patents remains steady over time. Yet there does exist a national competitiveness component among the top country players. The latecomer China has become the second most prolific country filing MEMS patents, but its patent quality still lags behind the global average.

Data on the interaction between thermal comfort and building control research.

PubMed

Park, June Young; Nagy, Zoltan

2018-04-01

This dataset contains bibliography information regarding thermal comfort and building control research. In addition, the instruction of a data-driven literature survey method guides readers to reproduce their own literature survey on related bibliography datasets. Based on specific search terms, all relevant bibliographic datasets are downloaded. We explain the keyword co-occurrences of historical developments and recent trends, and the citation network which represents the interaction between thermal comfort and building control research. Results and discussions are described in the research article entitled "Comprehensive analysis of the relationship between thermal comfort and building control research - A data-driven literature review" (Park and Nagy, 2018).

Comparison of PubMed, Scopus, Web of Science, and Google Scholar: strengths and weaknesses.

PubMed

Falagas, Matthew E; Pitsouni, Eleni I; Malietzis, George A; Pappas, Georgios

2008-02-01

The evolution of the electronic age has led to the development of numerous medical databases on the World Wide Web, offering search facilities on a particular subject and the ability to perform citation analysis. We compared the content coverage and practical utility of PubMed, Scopus, Web of Science, and Google Scholar. The official Web pages of the databases were used to extract information on the range of journals covered, search facilities and restrictions, and update frequency. We used the example of a keyword search to evaluate the usefulness of these databases in biomedical information retrieval and a specific published article to evaluate their utility in performing citation analysis. All databases were practical in use and offered numerous search facilities. PubMed and Google Scholar are accessed for free. The keyword search with PubMed offers optimal update frequency and includes online early articles; other databases can rate articles by number of citations, as an index of importance. For citation analysis, Scopus offers about 20% more coverage than Web of Science, whereas Google Scholar offers results of inconsistent accuracy. PubMed remains an optimal tool in biomedical electronic research. Scopus covers a wider journal range, of help both in keyword searching and citation analysis, but it is currently limited to recent articles (published after 1995) compared with Web of Science. Google Scholar, as for the Web in general, can help in the retrieval of even the most obscure information but its use is marred by inadequate, less often updated, citation information.

PubFocus: semantic MEDLINE/PubMed citations analytics through integration of controlled biomedical dictionaries and ranking algorithm

PubMed Central

Plikus, Maksim V; Zhang, Zina; Chuong, Cheng-Ming

2006-01-01

Background Understanding research activity within any given biomedical field is important. Search outputs generated by MEDLINE/PubMed are not well classified and require lengthy manual citation analysis. Automation of citation analytics can be very useful and timesaving for both novices and experts. Results PubFocus web server automates analysis of MEDLINE/PubMed search queries by enriching them with two widely used human factor-based bibliometric indicators of publication quality: journal impact factor and volume of forward references. In addition to providing basic volumetric statistics, PubFocus also prioritizes citations and evaluates authors' impact on the field of search. PubFocus also analyses presence and occurrence of biomedical key terms within citations by utilizing controlled vocabularies. Conclusion We have developed citations' prioritisation algorithm based on journal impact factor, forward referencing volume, referencing dynamics, and author's contribution level. It can be applied either to the primary set of PubMed search results or to the subsets of these results identified through key terms from controlled biomedical vocabularies and ontologies. NCI (National Cancer Institute) thesaurus and MGD (Mouse Genome Database) mammalian gene orthology have been implemented for key terms analytics. PubFocus provides a scalable platform for the integration of multiple available ontology databases. PubFocus analytics can be adapted for input sources of biomedical citations other than PubMed. PMID:17014720

Analysis of the intellectual structure of human space exploration research using a bibliometric approach: Focus on human related factors

NASA Astrophysics Data System (ADS)

Lee, Tai Sik; Lee, Yoon-Sun; Lee, Jaeho; Chang, Byung Chul

2018-02-01

Human space exploration (HSE) is an interdisciplinary field composed of a range of subjects that have developed dramatically over the last few decades. This paper investigates the intellectual structure of HSE research with a focus on human related factors. A bibliometric approach with quantitative analytical techniques is applied to study the development and growth of the research. This study retrieves 1921 papers on HSE related to human factors from the year 1990 to the year 2016 from Web of Science and constructs a critical citation network composed of 336 papers. Edge-betweenness-based clustering is used to classify the citation network into twelve distinct research clusters based on four research themes: "biological risks from space radiation," "health and performance during long-duration spaceflight," "program and in-situ resources for HSE missions," and "habitat and life support systems in the space environment." These research themes are also similar to the classification results of a co-occurrence analysis on keywords for a total of 1921 papers. Papers with high centrality scores are identified as important papers in terms of knowledge flow. Moreover, the intermediary role of papers in exchanging knowledge between HSE sub-areas is identified using brokerage analysis. The key-route main path highlights the theoretical development trajectories. Due to the recent dramatic increase in investment by international governments and the private sector, the theoretical development trajectories of key research themes have been expanding from furthering scientific and technical knowledge to include various social and economic issues, thus encouraging massive public participation. This study contributes to an understanding of research trends and popular issues in the field of HSE by introducing a powerful way of determining major research themes and development trajectories. This study will help researchers seek the underlying knowledge diffusion flow from multifaceted aspects to establish future research directions.

Analysis of Citations to Books in Chemistry PhD Dissertations in an Era of Transition

ERIC Educational Resources Information Center

Flaxbart, David

2018-01-01

A citation analysis of chemistry PhD dissertations at the University of Texas at Austin yielded data on how often graduate students cite books in their bibliographies, and on the characteristics of the books cited, in terms of age and local ownership. The analysis examined samples of dissertations selected from five discrete years--1988, 2006,…

A Citation Analysis of Atmospheric Science Publications by Faculty at Texas A&M University

ERIC Educational Resources Information Center

Kimball, Rusty; Stephens, Jane; Hubbard, David; Pickett, Carmelita

2013-01-01

A citation analysis of publications produced by the Department of Atmospheric Sciences faculty at Texas A&M University was conducted. This study included a detailed analysis of 5,082 cited publications by source, format, and age. TAMU Libraries holdings were then assessed using the works cited within the context of the 80/20 rule. The sources…

Status and Impact of Acupuncture Research: A Bibliometric Analysis of Global and Brazilian Scientific Output from 2000 to 2014.

PubMed

Moré, Ari O; Tesser, Charles Dalcanale; da Silva, João B; Min, Li Shih

2016-06-01

This bibliometric study was designed to evaluate the scientific output of Brazilian acupuncture publications and compare that output to the global trends in the same area. The analyzed data were retrieved from the online version of Science Citation Index Expanded (SCI-E) database and covered the period from 2000 to 2014. The documents were searched by using the topic filter to find acupuncture-related documents (ARDs) and the title filter for acupuncture-specific documents (ASDs). The analyzed categories included number of publications, type of documents, number of citations, universities/institutions, research areas, and journals. A total of 9301 ARDs and 5974 ASDs were published in the past 15 years worldwide. The global average number of citations per document was 10.61 for ARDs and 9.24 for ASDs. Brazil has published 252 ARDs and 169 ASDs, which corresponds to the tenth and ninth positions on the global correspondent rankings. The United States is the most productive country, with 2503 ARD publications, followed by China with 2143 and South Korea with 925. Norway is in the first position for the ARD citation rank, with 25.77 citations per document; Switzerland is in the first position for the ASD citation rank, with 26.66. Brazil has 4.19 citations per document, which corresponds to the 20th position in the ASD citation rankings. Evidence-Based Complementary Medicine, Acupuncture in Medicine, and The Journal of Alternative and Complementary Medicine are the leading journals in terms of numbers of ARDs and ASDs in Brazil and globally. The bibliometric analysis of the SCI-E database shows that global numbers of ARDs and ASDs and citations have constantly increased from 2000 to 2014. Brazil is among the top 10 most productive countries in the world in terms of number of acupuncture publications. However, the number of citations of Brazilian documents is below the global average.

Collective Influence of Multiple Spreaders Evaluated by Tracing Real Information Flow in Large-Scale Social Networks.

PubMed

Teng, Xian; Pei, Sen; Morone, Flaviano; Makse, Hernán A

2016-10-26

Identifying the most influential spreaders that maximize information flow is a central question in network theory. Recently, a scalable method called "Collective Influence (CI)" has been put forward through collective influence maximization. In contrast to heuristic methods evaluating nodes' significance separately, CI method inspects the collective influence of multiple spreaders. Despite that CI applies to the influence maximization problem in percolation model, it is still important to examine its efficacy in realistic information spreading. Here, we examine real-world information flow in various social and scientific platforms including American Physical Society, Facebook, Twitter and LiveJournal. Since empirical data cannot be directly mapped to ideal multi-source spreading, we leverage the behavioral patterns of users extracted from data to construct "virtual" information spreading processes. Our results demonstrate that the set of spreaders selected by CI can induce larger scale of information propagation. Moreover, local measures as the number of connections or citations are not necessarily the deterministic factors of nodes' importance in realistic information spreading. This result has significance for rankings scientists in scientific networks like the APS, where the commonly used number of citations can be a poor indicator of the collective influence of authors in the community.

National citation patterns of NEJM, The Lancet, JAMA and The BMJ in the lay press: a quantitative content analysis.

PubMed

Casino, Gonzalo; Rius, Roser; Cobo, Erik

2017-11-12

To analyse the total number of newspaper articles citing the four leading general medical journals and to describe national citation patterns. Quantitative content analysis. Full text of 22 general newspapers in 14 countries over the period 2008-2015, collected from LexisNexis. The 14 countries have been categorised into four regions: the USA, the UK, Western World (European countries other than the UK, and Australia, New Zealand and Canada) and Rest of the World (other countries). Press citations of four medical journals (two American: NEJM and JAMA ; and two British: The Lancet and The BMJ ) in 22 newspapers. British and American newspapers cited some of the four analysed medical journals about three times a week in 2008-2015 (weekly mean 3.2 and 2.7 citations, respectively); the newspapers from other Western countries did so about once a week (weekly mean 1.1), and those from the Rest of the World cited them about once a month (monthly mean 1.1). The New York Times cited above all other newspapers (weekly mean 4.7). The analysis showed the existence of three national citation patterns in the daily press: American newspapers cited mostly American journals (70.0% of citations), British newspapers cited mostly British journals (86.5%) and the rest of the analysed press cited more British journals than American ones. The Lancet was the most cited journal in the press of almost all Western countries outside the USA and the UK. Multivariate correspondence analysis confirmed the national patterns and showed that over 85% of the citation data variability is retained in just one single new variable: the national dimension. British and American newspapers are the ones that cite the four analysed medical journals more often, showing a domestic preference for their respective national journals; non-British and non-American newspapers show a common international citation pattern. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Highest Impact Articles in Microsurgery: A Citation Analysis.

PubMed

Kim, Kuylhee; Ibrahim, Ahmed M S; Koolen, Pieter G L; Markarian, Mark K; Lee, Bernard T; Lin, Samuel J

2015-09-01

Microsurgery has developed significantly since the inception of the first surgical microscope. There have been few attempts to describe "classic" microsurgery articles. In this study citation analysis was done to identify the most highly cited clinical and basic science articles published in five peer-reviewed plastic surgery journals. Thomson/Reuters web of knowledge was used to identify the most highly cited microsurgery articles from five journals: Plastic and Reconstructive Surgery, Annals of Plastic Surgery, Journal of Plastic, Reconstructive & Aesthetic Surgery, Journal of Reconstructive Microsurgery, and Microsurgery. Articles were identified and sorted based on the number of citations and citations per year. The 50 most cited clinical and basic science articles were identified. For clinical articles, number of total citations ranged from 120 to 691 (mean, 212.38) and citations per year ranged from 30.92 to 3.05 (mean, 9.33). The most common defect site was the head and neck (n = 15, 30%), and flaps were perforator and muscle/musculocutaneous flaps (n = 10 each, 20%, respectively). For basic science articles, number of citations ranged from 71 to 332 (mean, 130.82) and citations per year ranged from 2.20 to 11.07 (mean, 5.27). There were 27 animal, 21 cadaveric, and 2 combined studies. The most highly cited microsurgery articles are a direct reflection of the educational and clinical trends. Awareness of the most frequently cited articles may serve as a basis for core knowledge in the education of plastic surgery trainees. III. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

[Scientific production and cancer-related collaboration networks in Peru 2000-2011: a bibliometric study in Scopus and Science Citation Index].

PubMed

Mayta-Tristán, Percy; Huamaní, Charles; Montenegro-Idrogo, Juan José; Samanez-Figari, César; González-Alcaide, Gregorio

2013-03-01

A bibliometric study was carried out to describe the scientific production on cancer written by Peruvians and published in international health journals, as well as to assess the scientific collaboration networks. It included articles on cancer written in Peru between the years 2000 and 2011 and published in health journals indexed in SCOPUS or Science Citation Index Expanded. In the 358 articles identified, an increase in the production was seen, from 4 articles in 2000 to 57 in 2011.The most studied types were cervical cancer (77 publications); breast cancer (53), and gastric cancer (37). The National Institute of Neoplastic Diseases (INEN) was the most productive institution (121 articles) and had the highest number of collaborations (180 different institutions). 52 clinical trials were identified, 29 of which had at least one author from INEN. We can conclude that, cancer research is increasing in Peru, the INEN being the most productive institution, with an important participation in clinical trials.

A Network Meta-Analysis Comparing Effects of Various Antidepressant Classes on the Digit Symbol Substitution Test (DSST) as a Measure of Cognitive Dysfunction in Patients with Major Depressive Disorder.

PubMed

Baune, Bernhard T; Brignone, Mélanie; Larsen, Klaus Groes

2018-02-01

Major depressive disorder is a common condition that often includes cognitive dysfunction. A systematic literature review of studies and a network meta-analysis were carried out to assess the relative effect of antidepressants on cognitive dysfunction in major depressive disorder. MEDLINE, Embase, Cochrane, CDSR, and PsychINFO databases; clinical trial registries; and relevant conference abstracts were searched for randomized controlled trials assessing the effects of antidepressants/placebo on cognition. A network meta-analysis comparing antidepressants was conducted using a random effects model. The database search retrieved 11337 citations, of which 72 randomized controlled trials from 103 publications met the inclusion criteria. The review identified 86 cognitive tests assessing the effect of antidepressants on cognitive functioning. However, the Digit Symbol Substitution Test, which targets multiple domains of cognition and is recognized as being sensitive to change, was the only test that was used across 12 of the included randomized controlled trials and that allowed the construction of a stable network suitable for the network meta-analysis. The interventions assessed included selective serotonin reuptake inhibitors, serotonin-norepinephrine reuptake inhibitors, and other non-selective serotonin reuptake inhibitors/serotonin-norepinephrine reuptake inhibitors. The network meta-analysis using the Digit Symbol Substitution Test showed that vortioxetine was the only antidepressant that improved cognitive dysfunction on the Digit Symbol Substitution Test vs placebo {standardized mean difference: 0.325 (95% CI = 0.120; 0.529, P=.009}. Compared with other antidepressants, vortioxetine was statistically more efficacious on the Digit Symbol Substitution Test vs escitalopram, nortriptyline, and the selective serotonin reuptake inhibitor and tricyclic antidepressant classes. This study highlighted the large variability in measures used to assess cognitive functioning. The findings on the Digit Symbol Substitution Test indicate differential effects of various antidepressants on improving cognitive function in patients with major depressive disorder. © The Author 2017. Published by Oxford University Press on behalf of CINP.

Results of a Citation Analysis of Knowledge Management in Education

ERIC Educational Resources Information Center

Uzunboylu, Huseyin; Eris, Hasan; Ozcinar, Zehra

2011-01-01

The purpose of this study was to examine research and trends in knowledge management in education (KME) published in selected professional sources during the period 1990-2008. Citation analysis was used in this study to investigate documents related to KME, which were indexed in the Web of Science, Education Researches Information Center and…

Important Literature in Endocrinology: Citation Analysis and Historial Methodology.

ERIC Educational Resources Information Center

Hurt, C. D.

1982-01-01

Results of a study comparing two approaches to the identification of important literature in endocrinology reveals that association between ranking of cited items using the two methods is not statistically significant and use of citation or historical analysis alone will not result in same set of literature. Forty-two sources are appended. (EJS)

Citation Analysis for the Modern Instructor: An Integrated Review of Emerging Research

ERIC Educational Resources Information Center

Piotrowski, Chris

2013-01-01

While online instructors may be versed in conducting e-Research (Hung, 2012; Thelwall, 2009), today's faculty are probably less familiarized with the rapidly advancing fields of bibliometrics and informetrics. One key feature of research in these areas is Citation Analysis, a rather intricate operational feature available in modern indexes…

A Review of Citation Analysis Methodologies for Collection Management

ERIC Educational Resources Information Center

Hoffmann, Kristin; Doucette, Lise

2012-01-01

While there is a considerable body of literature that presents the results of citation analysis studies, most researchers do not provide enough detail in their methodology to reproduce the study, nor do they provide rationale for methodological decisions. In this paper, we review the methodologies used in 34 recent articles that present a…

Extended Analysis of Empirical Citations with Skinner's "Verbal Behavior": 1984-2004

ERIC Educational Resources Information Center

Dixon, Mark R.; Small, Stacey L.; Rosales, Rocio

2007-01-01

The present paper comments on and extends the citation analysis of verbal operant publications based on Skinner's "Verbal Behavior" (1957) by Dymond, O'Hora, Whelan, and O'Donovan (2006). Variations in population parameters were evaluated for only those studies that Dymond et al. categorized as empirical. Preliminary results indicate that the…

Content Analysis of Research Trends in Instructional Design Models: 1999-2014

ERIC Educational Resources Information Center

Göksu, Idris; Özcan, Kursat Volkan; Çakir, Recep; Göktas, Yuksel

2017-01-01

This study examines studies on instructional design models by applying content analysis. It covers 113 papers published in 44 international Social Science Citation Index (SSCI) and Science Citation Index (SCI) journals. Studies on instructional design models are explored in terms of journal of publication, preferred model, country where the study…

Croatian Medical Journal citation score in Web of Science, Scopus, and Google Scholar.

PubMed

Sember, Marijan; Utrobicić, Ana; Petrak, Jelka

2010-04-01

To analyze the 2007 citation count of articles published by the Croatian Medical Journal in 2005-2006 based on data from the Web of Science, Scopus, and Google Scholar. Web of Science and Scopus were searched for the articles published in 2005-2006. As all articles returned by Scopus were included in Web of Science, the latter list was the sample for further analysis. Total citation counts for each article on the list were retrieved from Web of Science, Scopus, and Google Scholar. The overlap and unique citations were compared and analyzed. Proportions were compared using chi(2)-test. Google Scholar returned the greatest proportion of articles with citations (45%), followed by Scopus (42%), and Web of Science (38%). Almost a half (49%) of articles had no citations and 11% had an equal number of identical citations in all 3 databases. The greatest overlap was found between Web of Science and Scopus (54%), followed by Scopus and Google Scholar (51%), and Web of Science and Google Scholar (44%). The greatest number of unique citations was found by Google Scholar (n=86). The majority of these citations (64%) came from journals, followed by books and PhD theses. Approximately 55% of all citing documents were full-text resources in open access. The language of citing documents was mostly English, but as many as 25 citing documents (29%) were in Chinese. Google Scholar shares a total of 42% citations returned by two others, more influential, bibliographic resources. The list of unique citations in Google Scholar is predominantly journal based, but these journals are mainly of local character. Citations received by internationally recognized medical journals are crucial for increasing the visibility of small medical journals but Google Scholar may serve as an alternative bibliometric tool for an orientational citation insight.

On thermal conductivity of gas mixtures containing hydrogen

NASA Astrophysics Data System (ADS)

Zhukov, Victor P.; Pätz, Markus

2017-06-01

A brief review of formulas used for the thermal conductivity of gas mixtures in CFD simulations of rocket combustion chambers is carried out in the present work. In most cases, the transport properties of mixtures are calculated from the properties of individual components using special mixing rules. The analysis of different mixing rules starts from basic equations and ends by very complex semi-empirical expressions. The formulas for the thermal conductivity are taken for the analysis from the works on modelling of rocket combustion chambers. \\hbox {H}_2{-}\\hbox {O}_2 mixtures are chosen for the evaluation of the accuracy of the considered mixing rules. The analysis shows that two of them, of Mathur et al. (Mol Phys 12(6):569-579, 1967), and of Mason and Saxena (Phys Fluids 1(5):361-369, 1958), have better agreement with the experimental data than other equations for the thermal conductivity of multicomponent gas mixtures.

Inferring gene and protein interactions using PubMed citations and consensus Bayesian networks

PubMed Central

Dalman, Mark; Haddad, Joseph; Duan, Zhong-Hui

2017-01-01

The PubMed database offers an extensive set of publication data that can be useful, yet inherently complex to use without automated computational techniques. Data repositories such as the Genomic Data Commons (GDC) and the Gene Expression Omnibus (GEO) offer experimental data storage and retrieval as well as curated gene expression profiles. Genetic interaction databases, including Reactome and Ingenuity Pathway Analysis, offer pathway and experiment data analysis using data curated from these publications and data repositories. We have created a method to generate and analyze consensus networks, inferring potential gene interactions, using large numbers of Bayesian networks generated by data mining publications in the PubMed database. Through the concept of network resolution, these consensus networks can be tailored to represent possible genetic interactions. We designed a set of experiments to confirm that our method is stable across variation in both sample and topological input sizes. Using gene product interactions from the KEGG pathway database and data mining PubMed publication abstracts, we verify that regardless of the network resolution or the inferred consensus network, our method is capable of inferring meaningful gene interactions through consensus Bayesian network generation with multiple, randomized topological orderings. Our method can not only confirm the existence of currently accepted interactions, but has the potential to hypothesize new ones as well. We show our method confirms the existence of known gene interactions such as JAK-STAT-PI3K-AKT-mTOR, infers novel gene interactions such as RAS- Bcl-2 and RAS-AKT, and found significant pathway-pathway interactions between the JAK-STAT signaling and Cardiac Muscle Contraction KEGG pathways. PMID:29049295

Analysis of the relationship between the number of citations and the quality evaluated by experts in psychology journals.

PubMed

Buela-Casal, Gualberto; Zych, Izabela

2010-05-01

The study analyzes the relationship between the number of citations as calculated by the IN-RECS database and the quality evaluated by experts. The articles published in journals of the Spanish Psychological Association between 1996 and 2008 and selected by the Editorial Board of Psychology in Spain were the subject of the study. Psychology in Spain is a journal that includes the best papers published throughout the previous year, chosen by the Editorial Board made up of fifty specialists of acknowledged prestige within Spanish psychology and translated into English. The number of the citations of the 140 original articles republished in Psychology in Spain was compared to the number of the citations of the 140 randomly selected articles. Additionally, the study searched for a relationship between the number of the articles selected from each journal and their mean number of citations. The number of citations received by the best articles as evaluated by experts is significantly higher than the number of citations of the randomly selected articles. Also, the number of citations is higher in the articles from the most frequently selected journals. A statistically significant relation between the quality evaluated by experts and the number of the citations was found.

A bibliometric analysis of the 50 most cited papers in cleft lip and palate.

PubMed

Mahon, Nicola A; Joyce, Cormac W

2015-02-01

Citation analysis is an established bibliometric method which catalogues papers according to the number of times they have been referenced. It is believed that the total number of citations an article receives reflects its importance among its peers. Never before has a bibliometric analysis been performed in the area of Cleft Lip and Palate. Our citation analysis creates a comprehensive list of the 50 most influential papers in this field. Journals specializing in Cleft Palate, Craniofacial, Plastic Surgery, Maxillofacial Surgery, Aesthetics and Radiology were searched to establish which articles most enriched the specialty over the past 70 years. The results show an interesting collection of papers which reveal developing trends in surgical techniques. These landmark papers mould and influence management and decision-making today.

Authors attain comparable or slightly higher rates of citation publishing in an open access journal (CytoJournal) compared to traditional cytopathology journals - A five year (2007-2011) experience

PubMed Central

Frisch, Nora K.; Nathan, Romil; Ahmed, Yasin K.; Shidham, Vinod B.

2014-01-01

Background: The era of Open Access (OA) publication, a platform which serves to better disseminate scientific knowledge, is upon us, as more OA journals are in existence than ever before. The idea that peer-reviewed OA publication leads to higher rates of citation has been put forth and shown to be true in several publications. This is a significant benefit to authors and is in addition to another relatively less obvious but highly critical component of the OA charter, i.e. retention of the copyright by the authors in the public domain. In this study, we analyzed the citation rates of OA and traditional non-OA publications specifically for authors in the field of cytopathology. Design: We compared the citation patterns for authors who had published in both OA and traditional non-OA peer-reviewed, scientific, cytopathology journals. Citations in an OA publication (CytoJournal) were analyzed comparatively with traditional non-OA cytopathology journals (Acta Cytologica, Cancer Cytopathology, Cytopathology, and Diagnostic Cytopathology) using the data from web of science citation analysis site (based on which the impact factors (IF) are calculated). After comparing citations per publication, as well as a time adjusted citation quotient (which takes into account the time since publication), we also analyzed the statistics after excluding the data for meeting abstracts. Results: Total 28 authors published 314 publications as articles and meeting abstracts (25 authors after excluding the abstracts). The rate of citation and time adjusted citation quotient were higher for OA in the group where abstracts were included (P < 0.05 for both). The rates were also slightly higher for OA than non-OA when the meeting abstracts were excluded, but the difference was statistically insignificant (P = 0.57 and P = 0.45). Conclusion We observed that for the same author, the publications in the OA journal attained a higher rate of citation than the publications in the traditional non-OA journals in the field of cytopathology over a 5 year period (2007-2011). However, this increase was statistically insignificant if the meeting abstracts were excluded from the analysis. Overall, the rates of citation for OA and non-OA were slightly higher to comparable. PMID:24987441

Research and collaboration overview of Institut Pasteur International Network: a bibliometric approach toward research funding decisions.

PubMed

Mostafavi, Ehsan; Bazrafshan, Azam

2014-01-01

Institut Pasteur International Network (IPIN), which includes 32 research institutes around the world, is a network of research and expertise to fight against infectious diseases. A scientometric approach was applied to describe research and collaboration activities of IPIN. Publications were identified using a manual search of IPIN member addresses in Science Citation Index Expanded (SCIE) between 2006 and 2011. Total publications were then subcategorized by geographic regions. Several scientometric indicators and the H-index were employed to estimate the scientific production of each IPIN member. Subject and geographical overlay maps were also applied to visualize the network activities of the IPIN members. A total number of 12667 publications originated from IPIN members. Each author produced an average number of 2.18 papers and each publication received an average of 13.40 citations. European Pasteur Institutes had the largest amount of publications, authored papers, and H-index values. Biochemistry and molecular biology, microbiology, immunology and infectious diseases were the most important research topics, respectively. Geographic mapping of IPIN publications showed wide international collaboration among IPIN members around the world. IPIN has strong ties with national and international authorities and organizations to investigate the current and future health issues. It is recommended to use scientometric and collaboration indicators as measures of research performance in IPIN future policies and investment decisions.

Heat-related illness in Washington State agriculture and forestry sectors.

PubMed

Spector, June T; Krenz, Jennifer; Rauser, Edmund; Bonauto, David K

2014-08-01

We sought to describe heat-related illness (HRI) in agriculture and forestry workers in Washington State. Demographic and clinical Washington State Fund workers' compensation agriculture and forestry HRI claims data (1995-2009) and Washington Agriculture Heat Rule citations (2009-2012) were accessed and described. Maximum daily temperature (Tmax) and Heat Index (HImax) were estimated by claim date and location using AgWeatherNet's weather station network. There were 84 Washington State Fund agriculture and forestry HRI claims and 60 Heat Rule citations during the study period. HRI claims and citations were most common in crop production and support subsectors. The mean Tmax (HImax) was 95°F (99°F) for outdoor HRI claims. Potential HRI risk factors and HRI-related injuries were documented for some claims. Agriculture and forestry HRI cases are characterized by potential work-related, environmental, and personal risk factors. Further work is needed to elucidate the relationship between heat exposure and occupational injuries. © 2014 Wiley Periodicals, Inc.

Heat-Related Illness in Washington State Agriculture and Forestry Sectors

PubMed Central

Spector, June T.; Krenz, Jennifer; Rauser, Edmund; Bonauto, David K.

2017-01-01

Background We sought to describe heat-related illness (HRI) in agriculture and forestry workers in Washington State. Methods Demographic and clinical Washington State Fund workers’ compensation agriculture and forestry HRI claims data (1995–2009) and Washington Agriculture Heat Rule citations (2009–2012) were accessed and described. Maximum daily temperature (Tmax) and Heat Index (HImax) were estimated by claim date and location using AgWeatherNet’s weather station network. Results There were 84 Washington State Fund agriculture and forestry HRI claims and 60 Heat Rule citations during the study period. HRI claims and citations were most common in crop production and support subsectors. The mean Tmax (HImax) was 95°F (99°F) for outdoor HRI claims. Potential HRI risk factors and HRI-related injuries were documented for some claims. Conclusions Agriculture and forestry HRI cases are characterized by potential work-related, environmental, and personal risk factors. Further work is needed to elucidate the relationship between heat exposure and occupational injuries. PMID:24953344

Papers published from 1995 to 2012 by six Traditional Chinese Medicine universities in China: a bibliometric analysis based on science citation index.

PubMed

Gao, Kuo; Tian, Guihua; Ye, Qing; Zhai, Xing; Chen, Jianxin; Liu, Tiegang; Liu, Kaifeng; Zhao, Jingyi; Ding, Shengyun

2013-12-01

The quality and quantity of published research papers are important in both scientific and technology fields. Although there are several bibliometric studies based on citation analysis, very few have focused on research related to Traditional Chinese Medicine in China. The bibliometric method used in this study included the following focuses: publication outputs for each year, paper type, language of publication, distribution of internationally collaborative countries, sources of funding, authorization number, distribution of institutes regarding collaborative publications, research fields, distribution of outputs in journals, citation, data, and h-index. A total of 3809 papers published from 1995 to 2012 were extracted from the science citation index (SCI). The cumulative number of papers from all six universities is constantly increasing. The United States attained the dominant position regarding complementary and alternative medicine research. The Chinese Academy of Sciences was the greatest participator in collaborative efforts. Research field analysis showed that the research mainly focused on pharmacology pharmacy, chemistry, integrative complementary medicine, plant sciences, and biochemistry molecular biology. The Shanghai University of Chinese Medicine had the most citations. In recent years, in terms of SCI papers, the six Traditional Chinese Medicine universities studied here have made great advances in scientific research.

Chinese Interpreting Studies: a data-driven analysis of a dynamic field of enquiry

PubMed Central

Pekelis, Leonid

2015-01-01

Over the five decades since its beginnings, Chinese Interpreting Studies (CIS) has evolved into a dynamic field of academic enquiry with more than 3,500 scholars and 4,200 publications. Using quantitative and qualitative analysis, this scientometric study delves deep into CIS citation data to examine some of the noteworthy trends and patterns of behavior in the field: how can the field’s progress be quantified by means of citation analysis? Do its authors tend repeatedly to cite ‘classic’ papers or are they more drawn to their colleagues’ latest research? What different effects does the choice of empirical vs. theoretical research have on the use of citations in the various research brackets? The findings show that the field is steadily moving forward with new papers continuously being cited, although a number of influential papers stand out, having received a stream of citations in all the years examined. CIS scholars also have a tendency to cite much older English than Chinese publications across all document types, and empirical research has the greatest influence on the citation behavior of doctoral scholars, while theoretical studies have the largest impact on that of article authors. The goal of this study is to demonstrate the merits of blending quantitative and qualitative analyses to uncover hidden trends. PMID:26401459

Cyber-Bullying in School Settings: A Research Citation Analysis

ERIC Educational Resources Information Center

Piotrowski, Chris

2011-01-01

Research on the topic of cyber-bullying has proliferated over the past decade, particularly on its impact on school-aged children. Thus, it would be of interest to examine the scope and extent of research interest in the topic in scholarly publications. This paper reports on a reference citation analysis of the database PsycINFO, using…

Progressive Trends and Impact of the Journal of Career Development: A Citation Analysis

ERIC Educational Resources Information Center

Chaichanasakul, Adipat; He, Yuhong; Chen, Hsui-Hui; Allen, G. E. Kawika; Khairallah, Taleb S.; Ramos, Karina

2011-01-01

As one of the four premier journals in vocational psychology, the "Journal of Career Development" ("JCD") has published over 830 articles over the past three decades. This study examined the performance of "JCD" through a citation analysis and provided evaluative data for scholars publishing in the field of vocation psychology. Articles published…

Percentile Ranking and Citation Impact of a Large Cohort of NHLBI-funded Cardiovascular R01 Grants

PubMed Central

Danthi, Narasimhan; Wu, Colin O.; Shi, Peibei; Lauer, Michael

2014-01-01

Rationale Funding decisions for cardiovascular R01 grant applications at NHLBI largely hinge on percentile rankings. It is not known whether this approach enables the highest impact science. Objective To conduct an observational analysis of percentile rankings and bibliometric outcomes for a contemporary set of funded NHLBI cardiovascular R01 grants. Methods and results We identified 1492 investigator-initiated de novo R01 grant applications that were funded between 2001 and 2008, and followed their progress for linked publications and citations to those publications. Our co-primary endpoints were citations received per million dollars of funding, citations obtained within 2-years of publication, and 2-year citations for each grant’s maximally cited paper. In 7654 grant-years of funding that generated $3004 million of total NIH awards, the portfolio yielded 16,793 publications that appeared between 2001 and 2012 (median per grant 8, 25th and 75th percentiles 4 and 14, range 0 – 123), which received 2,224,255 citations (median per grant 1048, 25th and 75th percentiles 492 and 1,932, range 0 – 16,295). We found no association between percentile ranking and citation metrics; the absence of association persisted even after accounting for calendar time, grant duration, number of grants acknowledged per paper, number of authors per paper, early investigator status, human versus non-human focus, and institutional funding. An exploratory machine-learning analysis suggested that grants with the very best percentile rankings did yield more maximally cited papers. Conclusions In a large cohort of NHLBI-funded cardiovascular R01 grants, we were unable to find a monotonic association between better percentile ranking and higher scientific impact as assessed by citation metrics. PMID:24406983

Citation classics in neurointerventional research: a bibliometric analysis of the 100 most cited articles.

PubMed

Kim, Eun Soo; Yoon, Dae Young; Kim, Hye Jeong; Jeon, Hong Jun; Lee, Jong Young; Cho, Byung-Moon; Lee, Kwanseop

2017-05-01

The number of citations that an article has received can be used to evaluate its impact on the scientific community. This study aimed to identify the 100 most cited articles in the field of neurointervention and to analyze their characteristics. We selected the 669 journals that were considered potentially to publish neurointervention articles based on the database of Journal Citation Reports. Using the Web of Science citation search tool, we identified the 100 most cited articles relevant to neurointervention within the selected journals. Each article was evaluated for several characteristics including publication year, journal, journal category, impact factor, number of citations, number of citations per year, authorship, department, institution, country, type of article, and topic. The number of citations for the top 100 articles ranged from 1912 to 170 (mean 363.4) and citations per year ranged from 271.0 to 4.1 (mean 40.0). The majority of articles were published in clinical neurology journals (63%), were published in 2000-2009 (39%), originated in the USA (45%), were original articles (95%), and dealt with endovascular treatment of cerebral aneurysm (42%). The Department of Radiology, University of California School of Medicine (n=12) was the leading institution and Viñuela F (n=11) was the most prolific author. Our study presents a detailed list and analysis of the 100 most cited articles in the field of neurointervention and provides a historical perspective on the scientific progress in this field. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

Percentile ranking and citation impact of a large cohort of National Heart, Lung, and Blood Institute-funded cardiovascular R01 grants.

PubMed

Danthi, Narasimhan; Wu, Colin O; Shi, Peibei; Lauer, Michael

2014-02-14

Funding decisions for cardiovascular R01 grant applications at the National Heart, Lung, and Blood Institute (NHLBI) largely hinge on percentile rankings. It is not known whether this approach enables the highest impact science. Our aim was to conduct an observational analysis of percentile rankings and bibliometric outcomes for a contemporary set of funded NHLBI cardiovascular R01 grants. We identified 1492 investigator-initiated de novo R01 grant applications that were funded between 2001 and 2008 and followed their progress for linked publications and citations to those publications. Our coprimary end points were citations received per million dollars of funding, citations obtained <2 years of publication, and 2-year citations for each grant's maximally cited paper. In 7654 grant-years of funding that generated $3004 million of total National Institutes of Health awards, the portfolio yielded 16 793 publications that appeared between 2001 and 2012 (median per grant, 8; 25th and 75th percentiles, 4 and 14; range, 0-123), which received 2 224 255 citations (median per grant, 1048; 25th and 75th percentiles, 492 and 1932; range, 0-16 295). We found no association between percentile rankings and citation metrics; the absence of association persisted even after accounting for calendar time, grant duration, number of grants acknowledged per paper, number of authors per paper, early investigator status, human versus nonhuman focus, and institutional funding. An exploratory machine learning analysis suggested that grants with the best percentile rankings did yield more maximally cited papers. In a large cohort of NHLBI-funded cardiovascular R01 grants, we were unable to find a monotonic association between better percentile ranking and higher scientific impact as assessed by citation metrics.

Prior Publication Productivity, Grant Percentile Ranking, and Topic-Normalized Citation Impact of NHLBI Cardiovascular R01 Grants

PubMed Central

Kaltman, Jonathan R.; Evans, Frank; Danthi, Narasimhan; Wu, Colin O.; DiMichele, Donna; Lauer, Michael S.

2014-01-01

Rationale We previously demonstrated absence of association between peer-review derived percentile ranking and raw citation impact in a large cohort of NHLBI cardiovascular R01 grants, but we did not consider pre-grant investigator publication productivity. We also did not normalize citation counts for scientific field, type of paper, and year of publication. Objective Determine whether measures of investigator prior productivity predict a grant’s subsequent scientific impact as measured by normalized citation metrics. Methods and Results We identified 1492 investigator-initiated de novo NHLBI R01 grant applications funded between 2001 and 2008 and linked the publications from these grants to their “InCites™” (Thompson Reuters) citation record. InCites™ provides a normalized citation count for each publication stratifying by year of publication, type of publication, and field of science. The co-primary endpoints for this analysis were the normalized citation impact per million dollars allocated and the number of publications per grant that have normalized citation rate in the top decile per million dollars allocated (“top-10% papers”). Prior productivity measures included the number of NHLBI-supported publications each principal investigator published in the 5 years before grant review and the corresponding prior normalized citation impact score. After accounting for potential confounders, there was no association between peer-review percentile ranking and bibliometric endpoints (all adjusted P > 0.5). However, prior productivity was predictive (P<0.0001). Conclusion Even after normalizing citation counts, we confirmed a lack of association between peer-review grant percentile ranking and grant citation impact. However, prior investigator publication productivity was predictive of grant-specific citation impact. PMID:25214575

Bibliometrics of NIHR HTA monographs and their related journal articles

PubMed Central

Royle, Pamela

2015-01-01

Objectives A bibliometric analysis of the UK National Institute for Health Research (NIHR) Health Technology Assessment (HTA) monographs and their related journal articles by: (1) exploring the differences in citations to the HTA monographs in Google Scholar (GS), Scopus and Web of Science (WoS), and (2) comparing Scopus citations to the monographs with their related journal articles. Setting A study of 111 HTA monographs published in 2010 and 2011, and their external journal articles. Main outcome measures Citations to the monographs in GS, Scopus and WoS, and to their external journal articles in Scopus. Results The number of citations varied among the three databases, with GS having the highest and WoS the lowest; however, the citation-based rankings among the databases were highly correlated. Overall, 56% of monographs had a related publication, with the highest proportion for primary research (76%) and lowest for evidence syntheses (43%). There was a large variation in how the monographs were cited, compared to journal articles, resulting in more frequent problems, with unlinked citations in Scopus and WoS. When comparing differences in the number of citations between monograph publications with their related journal articles from the same project, we found that monographs received more citations than their journal articles for evidence syntheses and methodology projects; by contrast, journal articles related to primary research monographs were more highly cited than their monograph. Conclusions The numbers of citations to the HTA monographs differed considerably between the databases, but were highly correlated. When a HTA monograph had a journal article from the same study, there were more citations to the journal article for primary research, but more to the monographs for evidence syntheses. Citations to the related journal articles were more reliably recorded than citations to the HTA monographs. PMID:25694457

Prior publication productivity, grant percentile ranking, and topic-normalized citation impact of NHLBI cardiovascular R01 grants.

PubMed

Kaltman, Jonathan R; Evans, Frank J; Danthi, Narasimhan S; Wu, Colin O; DiMichele, Donna M; Lauer, Michael S

2014-09-12

We previously demonstrated absence of association between peer-review-derived percentile ranking and raw citation impact in a large cohort of National Heart, Lung, and Blood Institute cardiovascular R01 grants, but we did not consider pregrant investigator publication productivity. We also did not normalize citation counts for scientific field, type of article, and year of publication. To determine whether measures of investigator prior productivity predict a grant's subsequent scientific impact as measured by normalized citation metrics. We identified 1492 investigator-initiated de novo National Heart, Lung, and Blood Institute R01 grant applications funded between 2001 and 2008 and linked the publications from these grants to their InCites (Thompson Reuters) citation record. InCites provides a normalized citation count for each publication stratifying by year of publication, type of publication, and field of science. The coprimary end points for this analysis were the normalized citation impact per million dollars allocated and the number of publications per grant that has normalized citation rate in the top decile per million dollars allocated (top 10% articles). Prior productivity measures included the number of National Heart, Lung, and Blood Institute-supported publications each principal investigator published in the 5 years before grant review and the corresponding prior normalized citation impact score. After accounting for potential confounders, there was no association between peer-review percentile ranking and bibliometric end points (all adjusted P>0.5). However, prior productivity was predictive (P<0.0001). Even after normalizing citation counts, we confirmed a lack of association between peer-review grant percentile ranking and grant citation impact. However, prior investigator publication productivity was predictive of grant-specific citation impact. © 2014 American Heart Association, Inc.

Research and development of anti-Alzheimer's disease drugs: an update from the perspective of technology flows.

PubMed

Liu, Kunmeng; Lin, Hui-Heng; Pi, Rongbiao; Mak, Shinghung; Han, Yifan; Hu, Yuanjia

2018-04-01

Today, over 20 million people suffer from Alzheimer's disease (AD) worldwide. AD has become a critical issue to human health, especially in aging societies, and therefore it is a research hotspot in the global scientific community. The technology flow method differs from traditional reviews generating an informative overview of the research and development (R&D) landscape in a specific technological area. We need such an updated method to get a general overview of the R&D of anti-AD drugs in light of the dramatic developments in this area in recent years. Areas covered: This study collects patent data from the Integrity database. A total of 399 patents with 821 internal citation pairs in the US from 1978 to 2017 were analyzed. Patent citation network analysis was used to visualize the technology relationship. Expert opinion: For better production of anti-AD drugs, governments should emphasize the multi-target drug design, provide policy support for private companies, and encourage multilateral cooperation. The β-amyloid peptide (Aβ) theory leaves much to be desired; neurotransmitter and tau protein hypotheses are worth further examination. The use of old drugs for new indications is promising, as are traditional herbal medicines.

Global nanotechnology development from 1991 to 2012: patents, scientific publications, and effect of NSF funding

NASA Astrophysics Data System (ADS)

Chen, Hsinchun; Roco, Mihail C.; Son, Jaebong; Jiang, Shan; Larson, Catherine A.; Gao, Qiang

2013-09-01

In a relatively short interval for an emerging technology, nanotechnology has made a significant economic impact in numerous sectors including semiconductor manufacturing, catalysts, medicine, agriculture, and energy production. A part of the United States (US) government investment in basic research has been realized in the last two decades through the National Science Foundation (NSF), beginning with the nanoparticle research initiative in 1991 and continuing with support from the National Nanotechnology Initiative after fiscal year 2001. This paper has two main goals: (a) present a longitudinal analysis of the global nanotechnology development as reflected in the United States Patent and Trade Office (USPTO) patents and Web of Science (WoS) publications in nanoscale science and engineering (NSE) for the interval 1991-2012; and (b) identify the effect of basic research funded by NSF on both indicators. The interval has been separated into three parts for comparison purposes: 1991-2000, 2001-2010, and 2011-2012. The global trends of patents and scientific publications are presented. Bibliometric analysis, topic analysis, and citation network analysis methods are used to rank countries, institutions, technology subfields, and inventors contributing to nanotechnology development. We then, examined how these entities were affected by NSF funding and how they evolved over the past two decades. Results show that dedicated NSF funding used to support nanotechnology R&D was followed by an increased number of relevant patents and scientific publications, a greater diversity of technology topics, and a significant increase of citations. The NSF played important roles in the inventor community and served as a major contributor to numerous nanotechnology subfields.

The health effects of the global financial crisis: can we reconcile the differing views? A network analysis of literature across disciplines.

PubMed

Stuckler, David; Reeves, Aaron; Karanikolos, Marina; McKee, Martin

2015-01-01

Why are researchers studying the health effects of economic change reaching markedly varying conclusions? To understand these differences, we first systematically searched Web of Science for the literature on recessions and health yielding 461 articles and 14,401 cited documents. We then undertook a network analysis of co-citation pattern by disciplines, journals and backgrounds of the authors, followed by a chronological review of the literature, to trace the evolution of ideas. We then examined the extent to which earlier literature predicted what has happened in the 2007-2012 crisis. Our analysis finds the literature is dominated by disciplinary silos, with economics studies predominantly citing each other and relative isolation of psychiatry and substance abuse journals. Different philosophical approaches to assessing causality appear to contribute to varying interpretations, a tendency that is unlikely to be resolved without a shift in research norms. We conclude by calling for more inter-disciplinary research that combines empirical findings with a search for plausible mechanisms. This approach would evaluate not only the effects of economic shocks but also the mechanisms that offer protection against them.

The (ab)normal-social-personality catena: Exploring The Journal of Abnormal and Social Psychology during the interwar years.

PubMed

Davidson, Ian J

2018-05-01

This article is a cocitation network analysis of The Journal of Abnormal and Social Psychology ( JASP ) from 1925 to 1942. The analysis was conducted to help shed light on the historical roots of the intellectual and institutional relationships among social, personality, and abnormal psychology. JASP was a main venue for the boundary work of early- to mid-twentieth-century American psychologists. One of the main goals of these various research communities was to appropriate psychoanalytic and sociological concepts into preferred methods and approaches that favored an individualistic, quantifiable, and ultimately normal subject. Five major research communities are identified using the citations, and historically contextualized: Community #1, Measuring Social Aspects; Community #2, Psychometrics; Community #3, Operationalizing Psychoanalysis; Community #4, Introversion Studies; and Community #5, Experimental Social Psychology. This analysis demonstrates how disciplinary psychologists, at least within JASP , were united by the work of delimiting their research from closely aligned fields studying the same concepts-even while psychologists' methodological commitments to experimentalism or psychological testing might have ostensibly divided them. Possible future research incorporating post-World War II research and dynamic networking approaches is recommended. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

[Medycyna Pracy: the scopus-based analysis of citations].

PubMed

Przyłuska, Jolanta

2006-01-01

Medycyna Pracy, a Polish bimonthly published since 1950, forms a long-standing documentation of studies carried out in the area of workers' health protection. The journal is primarily addressed to occupational health physicians and work hygiene specialists in Poland. It is indexed by numerous foreign information services (e.g., MEDLINE, EMBASE, BIOSIS PREVIEWS, BIOLOGICAL ABSTRACTS, SCOPUS) and thus promotes Polish research in occupational medicine throughout the world. The quantitative analysis for the years 1996-2005, grounded on the SCOPUS database, presents an average number of citations concerning a given volume, frequency of citations, articles most frequently cited, and countries, in which articles published in Medycyna Pracy have been referred to. A growing number of citations observed in the recent years signify the importance of issues investigated and discussed in the journal as well as its role in the world-wide circulation of scientific information.

Microphysical Characteristics of Tropical Clouds

NASA Technical Reports Server (NTRS)

Grainger, Cedric A.; Anderson, Nicholas

2004-01-01

This report summarizes the analysis of data collected by the University of North Dakota Citation II measurement platform during three TRMM Field measurement campaigns. The Citation II made cloud measurements during TEFLUN B in Florida, the LBA program in Brazil, and KWAJEX in Kwajalein. The work performed can be divided into two parts. The first part consisted of reformatting the Citation data into a form more easily used to compare to the satellite information. The second part consisted of examination of the cloud data in order to characterize the properties of the tropical clouds. The reformatting of the Citation data was quite labor intensive and, due to the fact that the aircraft was involved in three of the field campaigns, it required a substantial number of person-hours to complete. Much of the analysis done on the second part was done in conjunction with the thesis work of Nicholas Anderson, then a graduate student at the University of North Dakota.

[An analysis of articles published by academic groups in pediatrics in Chinese Journal of Pediatrics and their citations].

PubMed

Song, Qiurong; Hu, Yanping; Li, Linping

2014-08-01

To explore academic significance and guiding function played by subspecialty groups of the Society of Pediatrics, Chinese Medical Association on Chinese pediatric clinical practice through a statistical analysis of the articles published by the subspecialty groups. Bibliometric methods were used to analyze the number of articles, article types, total citations, highly cited articles and the distribution of citing journals. Totally 7 156 articles were published in Chinese Journal of Pediatrics from 1993 (31) to 2012 (51), of which 187 by subspecialty groups of pediatrics (2.6%), with a total citations of 11 985. Among them, 137 articles were cited with a citation rate of 73.3% and average citations for each article was 64.1. Articles classified as clinical guidelines had been totally cited for 10 900 times with average citations of 123.86 per article. The article on Neonatal hypoxic ischemic encephalopathy diagnosis and clinical index was cited 1 791 times ranked in highly cited literatures. All the top three cited literature periodicals were core journals of pediatrics, and 10 periodicals among the top 20 were in pediatrics and the rest in other medical fields. The number of the articles published by the subspecialty groups of pediatrics was increasing year by year though the portion it in the total number of the articles in the journal was not large. However, the citation frequency of the articles by the subspecialty groups of pediatrics was high, making an obvious contribution to the total citations of Chinese Journal of Pediatrics. The total citation rate of clinical guideline articles and their average rate was higher than those of other articles published in this journal, which meant that this type of articles provided academic references with guiding significance for clinical practice of pediatrics and for other medical fields as well.

Spinal cord injury: a review of the most-cited publications.

PubMed

Nowrouzi, Behdin; Assan-Lebbe, Aisha; Sharma, Bhanu; Casole, Jennifer; Nowrouzi-Kia, Behnam

2017-01-01

The objective of this study was to identify and review the most-cited articles on spinal cord injury (SCI). Citation analyses showcase the relative influence of individual articles in a given field. In addition to distinguishing publications of particular quality and impact and well-developed areas of the literature, citation analyses allow for an understanding of the direction in which a field of research is headed. A multi-disciplinary bibliographic index was used to identify the 50 SCI articles with the most lifetime citations, and the 50 SCI articles with the highest annual citation rates. Studies were categorized into one of six categories based on their primary focus: treatment, pathology/natural history, predictor of outcome, methods, epidemiology, or assessment measure. We report that 40.0 and 56.0 % of SCI papers with the most lifetime citations and highest annual citation rates, respectively, were systematic reviews or meta-analyses, indicating that some of the most referenced papers in SCI are not primary publications. Further, there appears to be a greater international presence in SCI research. In the highest annual citation rate cohort, 14.0 % of papers were a product of international collaboration, 50.0 % were published by outside of the United States, and the average year of publication was 2005 ± 5.4; the comparable numbers for papers that comprised the highest lifetime citation cohort were, respectively, 8.0, 28.0 %, and 1998 ± 9.2. Treatment and pathology/natural history of SCI were a common research focus in both citation cohorts, consistent with ongoing efforts to better understand and manage this injury. This comprehensive review provides a cross-sectional summary and bibliometric analysis of some of the most influential literature in SCI, and compliments existing systematic reviews and meta-analysis in the field by establishing which areas of the literature are growing and which have been well developed.

Citation analysis in journal rankings: medical informatics in the library and information science literature.

PubMed Central

Vishwanatham, R

1998-01-01

Medical informatics is an interdisciplinary field. Medical informatics articles will be found in the literature of various disciplines including library and information science publications. The purpose of this study was to provide an objectively ranked list of journals that publish medical informatics articles relevant to library and information science. Library Literature, Library and Information Science Abstracts, and Social Science Citation Index were used to identify articles published on the topic of medical informatics and to identify a ranked list of journals. This study also used citation analysis to identify the most frequently cited journals relevant to library and information science. PMID:9803294

Literature as a Network: Creative-Writing Scholarship in Literary Magazines

ERIC Educational Resources Information Center

Green, Harriett E.

2014-01-01

With the increase in undergraduate and graduate programs for creative writing at institutions of higher education in North America, literary journals and magazines now serve as leading scholarly publishing outlets and research resources for creative-writing faculty and students. This study analyzes ten years of citations from nineteen leading…

Highest cited papers published in Neurology India: An analysis for the years 1993-2014.

PubMed

Pandey, Paritosh; Subeikshanan, V; Madhugiri, Venkatesh S

2016-01-01

The highest cited papers published in a journal provide a snapshot of the clinical practice and research in that specialty and/or region. The aim of this study was to determine the highest cited papers published in Neurology India and analyze their attributes. This study was a citation analysis of all papers published in Neurology India since online archiving commenced in 1993. All papers published in Neurology India between the years 1993-2014 were listed. The number of times each paper had been cited up till the time of performing this study was determined by performing a Google Scholar search. Published papers were then ranked on the basis of total times cited since publication and the annual citation rate. Statistical Techniques: Simple counts and percentages were used to report most results. The mean citations received by papers in various categories were compared using the Student's t-test or a one-way analysis of variance, as appropriate. All analyses were carried out on SAS University Edition (SAS/STAT®, SAS Institute Inc, NC, USA) and graphs were generated on MS Excel 2016. The top papers on the total citations and annual citation rate rank lists pertained to basic neuroscience research. The highest cited paper overall had received 139 citations. About a quarter of the papers published had never been cited at all. The major themes represented were vascular diseases and infections. The highest cited papers reflect the diseases that are of major concern in India. Certain domains such as trauma, allied neurosciences, and basic neuroscience research were underrepresented.

Randomized clinical trials in implant therapy: relationships among methodological, statistical, clinical, paratextual features and number of citations.

PubMed

Nieri, Michele; Clauser, Carlo; Franceschi, Debora; Pagliaro, Umberto; Saletta, Daniele; Pini-Prato, Giovanpaolo

2007-08-01

The aim of the present study was to investigate the relationships among reported methodological, statistical, clinical and paratextual variables of randomized clinical trials (RCTs) in implant therapy, and their influence on subsequent research. The material consisted of the RCTs in implant therapy published through the end of the year 2000. Methodological, statistical, clinical and paratextual features of the articles were assessed and recorded. The perceived clinical relevance was subjectively evaluated by an experienced clinician on anonymous abstracts. The impact on research was measured by the number of citations found in the Science Citation Index. A new statistical technique (Structural learning of Bayesian Networks) was used to assess the relationships among the considered variables. Descriptive statistics revealed that the reported methodology and statistics of RCTs in implant therapy were defective. Follow-up of the studies was generally short. The perceived clinical relevance appeared to be associated with the objectives of the studies and with the number of published images in the original articles. The impact on research was related to the nationality of the involved institutions and to the number of published images. RCTs in implant therapy (until 2000) show important methodological and statistical flaws and may not be appropriate for guiding clinicians in their practice. The methodological and statistical quality of the studies did not appear to affect their impact on practice and research. Bayesian Networks suggest new and unexpected relationships among the methodological, statistical, clinical and paratextual features of RCTs.

Cite Globally, Analyze Locally: Citation Analysis from a Local Latin American Studies Perspective

ERIC Educational Resources Information Center

Schadl, Suzanne M.; Todeschini, Marina

2015-01-01

This citation analysis examines the use of Spanish- and Portuguese-language books and articles in PhD dissertations on Latin America at the University of New Mexico between 2000 and 2009. Two sets of data are presented: The first identifies the use of Spanish- and Portuguese-language books and articles across 17 academic departments; and the…

Mapping the dengue scientific landscape worldwide: a bibliometric and network analysis.

PubMed

Mota, Fabio Batista; Fonseca, Bruna de Paula Fonseca E; Galina, Andréia Cristina; Silva, Roseli Monteiro da

2017-05-01

Despite the current global trend of reduction in the morbidity and mortality of neglected diseases, dengue's incidence has increased and occurrence areas have expanded. Dengue also persists as a scientific and technological challenge since there is no effective treatment, vaccine, vector control or public health intervention. Combining bibliometrics and social network analysis methods can support the mapping of dengue research and development (R&D) activities worldwide. The aim of this paper is to map the scientific scenario related to dengue research worldwide. We use scientific publication data from Web of Science Core Collection - articles indexed in Science Citation Index Expanded (SCI-EXPANDED) - and combine bibliometrics and social network analysis techniques to identify the most relevant journals, scientific references, research areas, countries and research organisations in the dengue scientific landscape. Our results show a significant increase of dengue publications over time; tropical medicine and virology as the most frequent research areas and biochemistry and molecular biology as the most central area in the network; USA and Brazil as the most productive countries; and Mahidol University and Fundação Oswaldo Cruz as the main research organisations and the Centres for Disease Control and Prevention as the most central organisation in the collaboration network. Our findings can be used to strengthen a global knowledge platform guiding policy, planning and funding decisions as well as to providing directions to researchers and institutions. So that, by offering to the scientific community, policy makers and public health practitioners a mapping of the dengue scientific landscape, this paper has aimed to contribute to upcoming debates, decision-making and planning on dengue R&D and public health strategies worldwide.

Classic articles in Psychology in the Science Citation Index Expanded: A bibliometric analysis.

PubMed

Ho, Yuh-Shan; Hartley, James

2016-11-01

Who today are the most highly cited psychologists listed in the Web of Science? This paper reports answers to this question by using the Science Citation Index Expanded to find out. This index covers over 280,350 documents in the Psychology category of the Web of Science from 1900 to 2013 and lists the most highly cited papers published between 1927 and 2012. For example, in 2013, an article published by Jacob Cohen in 1992 obtained (1) the highest ranking with 1,068 citations, (2) the highest for total citations per year, and (3) was ranked 3rd for the total number of citations since publication by 2013. New technology thus provides a seismic shift in the ways that we can obtain and analyse data like these. Indeed, the results for the top 10 articles indicate that practical and methodological papers now receive more citations than the more theoretical papers usually found in earlier surveys. © 2015 The British Psychological Society.

Croatian Medical Journal Citation Score in Web of Science, Scopus, and Google Scholar

PubMed Central

Šember, Marijan; Utrobičić, Ana; Petrak, Jelka

2010-01-01

Aim To analyze the 2007 citation count of articles published by the Croatian Medical Journal in 2005-2006 based on data from the Web of Science, Scopus, and Google Scholar. Methods Web of Science and Scopus were searched for the articles published in 2005-2006. As all articles returned by Scopus were included in Web of Science, the latter list was the sample for further analysis. Total citation counts for each article on the list were retrieved from Web of Science, Scopus, and Google Scholar. The overlap and unique citations were compared and analyzed. Proportions were compared using χ2-test. Results Google Scholar returned the greatest proportion of articles with citations (45%), followed by Scopus (42%), and Web of Science (38%). Almost a half (49%) of articles had no citations and 11% had an equal number of identical citations in all 3 databases. The greatest overlap was found between Web of Science and Scopus (54%), followed by Scopus and Google Scholar (51%), and Web of Science and Google Scholar (44%). The greatest number of unique citations was found by Google Scholar (n = 86). The majority of these citations (64%) came from journals, followed by books and PhD theses. Approximately 55% of all citing documents were full-text resources in open access. The language of citing documents was mostly English, but as many as 25 citing documents (29%) were in Chinese. Conclusion Google Scholar shares a total of 42% citations returned by two others, more influential, bibliographic resources. The list of unique citations in Google Scholar is predominantly journal based, but these journals are mainly of local character. Citations received by internationally recognized medical journals are crucial for increasing the visibility of small medical journals but Google Scholar may serve as an alternative bibliometric tool for an orientational citation insight. PMID:20401951

The 100 Most Cited Articles in Facial Trauma: A Bibliometric Analysis.

PubMed

Tahim, Arpan; Patel, Kush; Bridle, Christopher; Holmes, Simon

2016-11-01

The number of citations an article receives has been used as a marker of its influence within a surgical specialty. Currently, there is limited citation analysis in oral and maxillofacial trauma surgery. The purpose of this study was to determine the 100 most cited articles in facial trauma surgery and their characteristics. Articles were identified from the Science Citation Index of the Institute for Scientific Information using the Thomson Reuters Web of Science search engine. All articles until 2015 were included. Then, the 100 most cited articles were assessed for title, author, journal, country of origin, and number of citations. A citation index (number of citations received per year) also was calculated. The 100 most cited articles in facial trauma received 9,933 citations (range, 66 to 297). They were published from 1942 through 2008, with 1990 through 1999 being the commonest decade. Articles were cited on average 4.6 times per year. Articles were published in 28 different journals, with impact factors ranging from 0.94 to 35.3. Most articles were observational research studies. These findings reflect the attention that articles have received during the past half century in oral and maxillofacial trauma research, shedding light on often-read articles in this field. In addition to current bibliometric indices, it could provide a useful evidence base for facial surgeons, represent key educational material for aspiring trainees, and be used to help guide future research efforts. Copyright © 2016 American Association of Oral and Maxillofacial Surgeons. Published by Elsevier Inc. All rights reserved.

Citation Analysis of Hepatitis Monthly by Journal Citation Report (ISI), Google Scholar, and Scopus.

PubMed

Miri, Seyyed Mohammad; Raoofi, Azam; Heidari, Zahra

2012-09-01

Citation analysis as one of the most widely used methods of bibliometrics can be used for computing the various impact measures for scholars based on data from citation databases. Journal Citation Reports (JCR) from Thomson Reuters provides annual report in the form of impact factor (IF) for each journal. We aimed to evaluate the citation parameters of Hepatitis Monthly by JCR in 2010 and compare them with GS and Sc. All articles of Hepat Mon published in 2009 and 2008 which had been cited in 2010 in three databases including WoS, Sc and GS gathered in a spreadsheet. The IFs were manually calculated. Among the 104 total published articles the accuracy rates of GS and Sc in recording the total number of articles was 96% and 87.5%. There was a difference between IFs among the three databases (0.793 in ISI [Institute for Scientific Information], 0.945 in Sc and 0.85 GS). The missing rate of citations in ISI was 4% totally. Original articles were the main cited types, whereas, guidelines and clinical challenges were the least ones. None of the three databases succeed to record all articles published in the journal. Despite high sensitivity of GS comparing to Sc, it cannot be a reliable source for indexing since GS has lack of screening in the data collection and low specificity. Using an average of three IFs is suggested to find the correct IF. Editors should be more aware on the role of original articles in increasing IF and the potential efficacy of review articles in long term impact factor.

A recursive field-normalized bibliometric performance indicator: an application to the field of library and information science.

PubMed

Waltman, Ludo; Yan, Erjia; van Eck, Nees Jan

2011-10-01

Two commonly used ideas in the development of citation-based research performance indicators are the idea of normalizing citation counts based on a field classification scheme and the idea of recursive citation weighing (like in PageRank-inspired indicators). We combine these two ideas in a single indicator, referred to as the recursive mean normalized citation score indicator, and we study the validity of this indicator. Our empirical analysis shows that the proposed indicator is highly sensitive to the field classification scheme that is used. The indicator also has a strong tendency to reinforce biases caused by the classification scheme. Based on these observations, we advise against the use of indicators in which the idea of normalization based on a field classification scheme and the idea of recursive citation weighing are combined.

The intellectual core of enterprise information systems: a co-citation analysis

NASA Astrophysics Data System (ADS)

Shiau, Wen-Lung

2016-10-01

Enterprise information systems (EISs) have evolved in the past 20 years, attracting the attention of international practitioners and scholars. Although literature reviews and analyses have been conducted to examine the multiple dimensions of EISs, no co-citation analysis has been conducted to examine the knowledge structures involved in EIS studies; thus, the current study fills this research gap. This study investigated the intellectual structures of EISs. All data source documents (1083 articles and 24,090 citations) were obtained from the Institute for Scientific Information Web of Knowledge database. A co-citation analysis was used to analyse EIS data. By using factor analysis, we identified eight critical factors: (a) factors affecting the implementation and success of information systems (ISs); (b) the successful implementation of enterprise resource planning (ERP); (c) IS evaluation and success, (d) system science studies; (e) factors influencing ERP success; (f) case research and theoretical models; (g) user acceptance of information technology; and (h) IS frameworks. Multidimensional scaling and cluster analysis were used to visually map the resultant EIS knowledge. It is difficult to implement an EIS in an enterprise and each organisation exhibits specific considerations. The current findings indicate that managers must focus on ameliorating inferior project performance levels, enabling a transition from 'vicious' to 'virtuous' projects. Successful EIS implementation yields substantial organisational advantages.

Collective Influence of Multiple Spreaders Evaluated by Tracing Real Information Flow in Large-Scale Social Networks

NASA Astrophysics Data System (ADS)

Teng, Xian; Pei, Sen; Morone, Flaviano; Makse, Hernán A.

2016-10-01

Identifying the most influential spreaders that maximize information flow is a central question in network theory. Recently, a scalable method called “Collective Influence (CI)” has been put forward through collective influence maximization. In contrast to heuristic methods evaluating nodes’ significance separately, CI method inspects the collective influence of multiple spreaders. Despite that CI applies to the influence maximization problem in percolation model, it is still important to examine its efficacy in realistic information spreading. Here, we examine real-world information flow in various social and scientific platforms including American Physical Society, Facebook, Twitter and LiveJournal. Since empirical data cannot be directly mapped to ideal multi-source spreading, we leverage the behavioral patterns of users extracted from data to construct “virtual” information spreading processes. Our results demonstrate that the set of spreaders selected by CI can induce larger scale of information propagation. Moreover, local measures as the number of connections or citations are not necessarily the deterministic factors of nodes’ importance in realistic information spreading. This result has significance for rankings scientists in scientific networks like the APS, where the commonly used number of citations can be a poor indicator of the collective influence of authors in the community.

Collective Influence of Multiple Spreaders Evaluated by Tracing Real Information Flow in Large-Scale Social Networks

PubMed Central

Teng, Xian; Pei, Sen; Morone, Flaviano; Makse, Hernán A.

2016-01-01

Identifying the most influential spreaders that maximize information flow is a central question in network theory. Recently, a scalable method called “Collective Influence (CI)” has been put forward through collective influence maximization. In contrast to heuristic methods evaluating nodes’ significance separately, CI method inspects the collective influence of multiple spreaders. Despite that CI applies to the influence maximization problem in percolation model, it is still important to examine its efficacy in realistic information spreading. Here, we examine real-world information flow in various social and scientific platforms including American Physical Society, Facebook, Twitter and LiveJournal. Since empirical data cannot be directly mapped to ideal multi-source spreading, we leverage the behavioral patterns of users extracted from data to construct “virtual” information spreading processes. Our results demonstrate that the set of spreaders selected by CI can induce larger scale of information propagation. Moreover, local measures as the number of connections or citations are not necessarily the deterministic factors of nodes’ importance in realistic information spreading. This result has significance for rankings scientists in scientific networks like the APS, where the commonly used number of citations can be a poor indicator of the collective influence of authors in the community. PMID:27782207

Analysis of the citation of articles published in the European Journal of Emergency Medicine since its foundation.

PubMed

Fernández-Guerrero, Inés M; Martín-Sánchez, Francisco J; Burillo-Putze, Guillermo; Graham, Collin A; Miró, Òscar

2017-10-09

The aim of this study was to evaluate the evolution of the citation of articles from the European Journal of Emergency Medicine (EJEM) from 1994 (EJEM foundation) to 2015 and identify highly cited articles and their principal characteristics and determine a possible correlation between the citations counted in different databases. We obtained the articles published in EJEM from 1994 to 2015 in ISI-WoS (main source) and Scopus, Google Scholar, and Medline databases (accessory sources). The citations were quantified and their annual evolution and the bibliometric indices derived (impact factor and SCImago Journal Rank) were evaluated. We identified and analyzed the highly cited EJEM articles and evaluated the possible correlation between the citations counted for these articles in the databases. Overall, 1705 EJEM articles were cited 9422 times in 8122 different articles. The evolution of the global citation, impact factor, and SCImago Journal Rank from 1994 to 2015 increased significantly. The h-index of EJEM was 30, and 31 articles were considered highly cited (≥30 citations), 16.1% of them being clinical trials. By subjects, 22.5% corresponded to cardiology, 19.3% to emergency department management, and 12.9% to pediatrics; by countries, 81% were from Europe, with Belgian authors publishing four (12.9%) highly cited articles, and French, Spanish, British, and Swedish authors having three (9.7%) each. Two studies in the EJEM achieved the definition of 'citation classics' (more than 100 citations). The number of citations in all the databases, except Medline, showed statistically significant correlations. Citation of EJEM articles has progressively increased and EJEM bibliometric indicators have improved; most highly cited articles are mainly by European authors.

Citation Discovery Tools for Conducting Adaptive Meta-analyses to Update Systematic Reviews.

PubMed

Bae, Jong-Myon; Kim, Eun Hee

2016-03-01

The systematic review (SR) is a research methodology that aims to synthesize related evidence. Updating previously conducted SRs is necessary when new evidence has been produced, but no consensus has yet emerged on the appropriate update methodology. The authors have developed a new SR update method called 'adaptive meta-analysis' (AMA) using the 'cited by', 'similar articles', and 'related articles' citation discovery tools in the PubMed and Scopus databases. This study evaluates the usefulness of these citation discovery tools for updating SRs. Lists were constructed by applying the citation discovery tools in the two databases to the articles analyzed by a published SR. The degree of overlap between the lists and distribution of excluded results were evaluated. The articles ultimately selected for the SR update meta-analysis were found in the lists obtained from the 'cited by' and 'similar' tools in PubMed. Most of the selected articles appeared in both the 'cited by' lists in Scopus and PubMed. The Scopus 'related' tool did not identify the appropriate articles. The AMA, which involves using both citation discovery tools in PubMed, and optionally, the 'related' tool in Scopus, was found to be useful for updating an SR.

The comparative importance of books: clinical psychology in the health sciences library.

PubMed Central

Wehmeyer, J M; Wehmeyer, S

1999-01-01

Clinical psychology has received little attention as a subject in health sciences library collections. This study seeks to demonstrate the relative importance of the monographic literature to clinical psychology through the examination of citations in graduate student theses and dissertations at the Fordham Health Sciences Library, Wright State University. Dissertations and theses were sampled randomly; citations were classified by format, counted, and subjected to statistical analysis. Books and book chapters together account for 35% of the citations in clinical psychology dissertations, 25% in nursing theses, and 8% in biomedical sciences theses and dissertations. Analysis of variance indicates that the citations in dissertations and theses in the three areas differ significantly (F = 162.2 with 2 and 253 degrees of freedom, P = 0.0001). Dissertations and theses in biomedical sciences and nursing theses both cite significantly more journals per book than the dissertations in clinical psychology. These results support the hypothesis that users of clinical psychology literature rely more heavily on books than many other users of a health sciences library. Problems with using citation analyses in a single subject to determine a serials to monographs ratio for a health sciences library are pointed out. PMID:10219478

The more publication, the higher impact factor: citation analysis of top nine gastroenterology and hepatology journals.

PubMed

Karimi Elizee, Pegah; Karimzadeh Ghassab, Romina; Raoofi, Azam; Miri, Seyyed Mohammad

2012-12-01

The impact factor (IF), as the most important criterion for journal's quality measurement, is affected by the self-citation and number of publications in each journal. To find out the relationship between the number of publications and self-citations in a journal, and their correlations with IF. Self-citations and impact factors of nine top gastroenterology and hepatology journals were assessed during the seven recent years (2005-2011) through Journal Citation Reports (JCR, ISI Thomson Reuters). Although impact factors of all journals increased during the study, five out of nine journals increased the number of publications from 2005 to 2011. There was an increase in self-citation only in the journal of HEPATOLOGY (499 in 2005 vs. 707 in 2011). Impact factors of journals (6.5 ± 3.5) were positively correlated with total number of publications (248.6 ± 91.7) (R: 0.688, P < 0.001). Besides, the self-citation rate (238.73 ± 195.317) was highly correlated with total number of publications in each journal (248.6 ± 91.7) (R: 0.861, P < 0.001). On the other hand, impact factor without self-citation (6.08 ± 3.3) had a correlation (R: 0.672, P < 0.001) with the number of published items (248.6 ± 91.7). The number of articles and self-citation have definite effects on IF of a journal and because IF is the most prominent criterion for journal's quality measurement, it would be a good idea to consider factors affecting on IF such as self-citation.

Longitudinal analysis of meta-analysis literatures in the database of ISI Web of Science.

PubMed

Zhu, Changtai; Jiang, Ting; Cao, Hao; Sun, Wenguang; Chen, Zhong; Liu, Jinming

2015-01-01

The meta-analysis is regarded as an important evidence for making scientific decision. The database of ISI Web of Science collected a great number of high quality literatures including meta-analysis literatures. However, it is significant to understand the general characteristics of meta-analysis literatures to outline the perspective of meta-analysis. In this present study, we summarized and clarified some features on these literatures in the database of ISI Web of Science. We retrieved the meta-analysis literatures in the database of ISI Web of Science including SCI-E, SSCI, A&HCI, CPCI-S, CPCI-SSH, CCR-E, and IC. The annual growth rate, literature category, language, funding, index citation, agencies and countries/territories of the meta-analysis literatures were analyzed, respectively. A total of 95,719 records, which account for 0.38% (99% CI: 0.38%-0.39%) of all literatures, were found in the database. From 1997 to 2012, the annual growth rate of meta-analysis literatures was 18.18%. The literatures involved in many categories, languages, fundings, citations, publication agencies, and countries/territories. Interestingly, the index citation frequencies of the meta-analysis were significantly higher than that of other type literatures such as multi-centre study, randomize controlled trial, cohort study, case control study, and cases report (P<0.0001). The increasing numbers, intensively global influence and high citations revealed that the meta-analysis has been becoming more and more prominent in recent years. In future, in order to promote the validity of meta-analysis, the CONSORT and PRISMA standard should be continuously popularized in the field of evidence-based medicine.

Efficient discovery of overlapping communities in massive networks

PubMed Central

Gopalan, Prem K.; Blei, David M.

2013-01-01

Detecting overlapping communities is essential to analyzing and exploring natural networks such as social networks, biological networks, and citation networks. However, most existing approaches do not scale to the size of networks that we regularly observe in the real world. In this paper, we develop a scalable approach to community detection that discovers overlapping communities in massive real-world networks. Our approach is based on a Bayesian model of networks that allows nodes to participate in multiple communities, and a corresponding algorithm that naturally interleaves subsampling from the network and updating an estimate of its communities. We demonstrate how we can discover the hidden community structure of several real-world networks, including 3.7 million US patents, 575,000 physics articles from the arXiv preprint server, and 875,000 connected Web pages from the Internet. Furthermore, we demonstrate on large simulated networks that our algorithm accurately discovers the true community structure. This paper opens the door to using sophisticated statistical models to analyze massive networks. PMID:23950224

Lens or Prism? Patent Citations as a Measure of Knowledge Flows from Public Research

PubMed Central

Roach, Michael; Cohen, Wesley M.

2013-01-01

This paper assesses the validity and accuracy of firms’ backward patent citations as a measure of knowledge flows from public research by employing a newly constructed dataset that matches patents to survey data at the level of the R&D lab. Using survey-based measures of the dimensions of knowledge flows, we identify sources of systematic measurement error associated with backward citations to both patent and nonpatent references. We find that patent citations reflect the codified knowledge flows from public research, but they appear to miss knowledge flows that are more private and contract-based in nature, as well as those used in firm basic research. We also find that firms’ patenting and citing strategies affect patent citations, making citations less indicative of knowledge flows. In addition, an illustrative analysis examining the magnitude and direction of measurement error bias suggests that measuring knowledge flows with patent citations can lead to substantial underestimation of the effect of public research on firms’ innovative performance. Throughout our analyses we find that nonpatent references (e.g., journals, conferences, etc.), not the more commonly used patent references, are a better measure of knowledge originating from public research. PMID:24470690

Interdisciplinarity and Impact: Distinct Effects of Variety, Balance, and Disparity

PubMed Central

Wang, Jian; Thijs, Bart; Glänzel, Wolfgang

2015-01-01

Interdisciplinary research is increasingly recognized as the solution to today’s challenging scientific and societal problems, but the relationship between interdisciplinary research and scientific impact is still unclear. This paper studies the association between the degree of interdisciplinarity and the number of citations at the paper level. Different from previous studies compositing various aspects of interdisciplinarity into a single indicator, we use factor analysis to uncover distinct dimensions of interdisciplinarity corresponding to variety, balance, and disparity. We estimate Poisson models with journal fixed effects and robust standard errors to analyze the divergent relationships between these three factors and citations. We find that long-term (13-year) citations (1) increase at an increasing rate with variety, (2) decrease with balance, and (3) increase at a decreasing rate with disparity. Furthermore, interdisciplinarity also affects the process of citation accumulation: (1) although variety and disparity have positive effects on long-term citations, they have negative effects on short-term (3-year) citations, and (2) although balance has a negative effect on long-term citations, its negative effect is insignificant in the short run. These findings have important implications for interdisciplinary research and science policy. PMID:26001108

[Bibliometric study of Actas Dermo-sifiliográficas (1984-2003) III. Analysis of bibliographic impact factors].

PubMed

Miralles, Julia; Ramos, José M; Ballester, Rosa; Belinchón, Isabel; Sevila, Amparo; Moragón, Manuel

2005-11-01

To quantify the impact factor of the journal Actas Dermo-Sifiliográficas (AD) from 1986 to 1990 and from 1999 to 2003 and to identify the journal's citation pattern in those years. Citations obtained by AD in the periods from 1985-1990 and 1998-2003 for articles published from 1984 to 1989 and from 1997 to 2002 were collected using Science Citation Index Expanded (SCI). The number of times AD was cited doubled during the second period, increasing from 38 (period from 1985-1990) to 76 (period from 1998-2003). Considering the number of citations, AD's impact factor increased from 0.016 in 1986 to 0.040 in 2003. In both periods, citations corresponding to AD articles were included in a wide range of source journals, mainly dermatological publications abroad. The most referred journals in the second period were the Dutch publication Journal of the European Academy of Dermatology and Venereology (13 citations) and the Journal of the American Academy of Dermatology (12 citations). Unlike the period from 1985 to 1990 when no Spanish journal cited AD, four Spanish publications mentioned AD in the second period: Revista clínica española (6 citations), Archivos de bronconeumología (4 citations), Medicina clínica (3 citations) and the journal Enfermedades infecciosas y microbiología clínica (1 citation). Citations mainly corresponded to articles published by Spanish authors (63.2 % in the 1985-1990 period and 81.6 % in the period from 1998 to 2003). Self-citation increased from 10.5 % (first period) to 31.6 % (second period). The impact factor of AD is low and not comparable to other publications included in the Dermatology and Venereal Diseases field from SCI. Our results confirm the low citation rate of AD by source journals in this repertory. However, the increase of this rate in recent years seems to indicate a higher Spanish presence in SCI due to an increasing number of publications corresponding to Spanish authors in international journals and the inclusion of some Spanish journals in this database.

Patterns of database citation in articles and patents indicate long-term scientific and industry value of biological data resources.

PubMed

Bousfield, David; McEntyre, Johanna; Velankar, Sameer; Papadatos, George; Bateman, Alex; Cochrane, Guy; Kim, Jee-Hyub; Graef, Florian; Vartak, Vid; Alako, Blaise; Blomberg, Niklas

2016-01-01

Data from open access biomolecular data resources, such as the European Nucleotide Archive and the Protein Data Bank are extensively reused within life science research for comparative studies, method development and to derive new scientific insights. Indicators that estimate the extent and utility of such secondary use of research data need to reflect this complex and highly variable data usage. By linking open access scientific literature, via Europe PubMedCentral, to the metadata in biological data resources we separate data citations associated with a deposition statement from citations that capture the subsequent, long-term, reuse of data in academia and industry.  We extend this analysis to begin to investigate citations of biomolecular resources in patent documents. We find citations in more than 8,000 patents from 2014, demonstrating substantial use and an important role for data resources in defining biological concepts in granted patents to both academic and industrial innovators. Combined together our results indicate that the citation patterns in biomedical literature and patents vary, not only due to citation practice but also according to the data resource cited. The results guard against the use of simple metrics such as citation counts and show that indicators of data use must not only take into account citations within the biomedical literature but also include reuse of data in industry and other parts of society by including patents and other scientific and technical documents such as guidelines, reports and grant applications.

Patterns of database citation in articles and patents indicate long-term scientific and industry value of biological data resources

PubMed Central

Bousfield, David; McEntyre, Johanna; Velankar, Sameer; Papadatos, George; Bateman, Alex; Cochrane, Guy; Kim, Jee-Hyub; Graef, Florian; Vartak, Vid; Alako, Blaise; Blomberg, Niklas

2016-01-01

Data from open access biomolecular data resources, such as the European Nucleotide Archive and the Protein Data Bank are extensively reused within life science research for comparative studies, method development and to derive new scientific insights. Indicators that estimate the extent and utility of such secondary use of research data need to reflect this complex and highly variable data usage. By linking open access scientific literature, via Europe PubMedCentral, to the metadata in biological data resources we separate data citations associated with a deposition statement from citations that capture the subsequent, long-term, reuse of data in academia and industry.  We extend this analysis to begin to investigate citations of biomolecular resources in patent documents. We find citations in more than 8,000 patents from 2014, demonstrating substantial use and an important role for data resources in defining biological concepts in granted patents to both academic and industrial innovators. Combined together our results indicate that the citation patterns in biomedical literature and patents vary, not only due to citation practice but also according to the data resource cited. The results guard against the use of simple metrics such as citation counts and show that indicators of data use must not only take into account citations within the biomedical literature but also include reuse of data in industry and other parts of society by including patents and other scientific and technical documents such as guidelines, reports and grant applications. PMID:27092246

Assessing abstracts of Iranian systematic reviews and metaanalysis indexed in WOS and Scopus using PRISMA.

PubMed

Kazerani, Maryam; Davoudian, Atefeh; Zayeri, Farid; Soori, Hamid

2017-01-01

Background: Systematic reviews and meta-analysis have significant advantages over conventional reviews in that all available data should be presented. This study aimed to evaluate Iranian systematic reviews and meta-analysis abstracts indexed in WOS and Scopus during 2003-2012 based on PRISMA checklist. Methods: This is an analytical study. We evaluated 46 article abstracts indexed in WOS, 89 article abstracts indexed in Scopus and 158 article abstracts indexed in WOS and Scopus both (overlapped group). The quality of the abstracts was evaluated according to the PRISMA checklist for abstracts. Some indicators including distribution per year, total citation, average citations per year, average citations per documents and average citations per year in each article were determined through searching the WOS and Scopus Databases' analytical section. Then, the correlations between the abstract's PRISMA scores, average citations per year, and publication year were calculated. Results: The abstract's quality is not desirable as far as the PRISMA criteria are concerned. In other words, none of the articles' abstracts is in line with the PRISMA items. The average of scores of the current study was 5.9 while the maximum score was 12. The PRISMA criteria showed the highest compliance with "Objectives" (98.6%), the second highest with "Synthesis of result" (85%) and "Title" (80.2%) and the lowest compliance with "Registration" (2%). There was a positive correlation between the compliance of PRISMA score and the average citations per year while there was a negative correlation between PRISMA score and the publication year. Conclusion: It seems that the suggested criteria for reporting Iranian systematic reviews and meta-analysis are not considered adequately by the writers and even scientific journal editors.

Assessing abstracts of Iranian systematic reviews and metaanalysis indexed in WOS and Scopus using PRISMA

PubMed Central

Kazerani, Maryam; Davoudian, Atefeh; Zayeri, Farid; Soori, Hamid

2017-01-01

Background: Systematic reviews and meta-analysis have significant advantages over conventional reviews in that all available data should be presented. This study aimed to evaluate Iranian systematic reviews and meta-analysis abstracts indexed in WOS and Scopus during 2003-2012 based on PRISMA checklist. Methods: This is an analytical study. We evaluated 46 article abstracts indexed in WOS, 89 article abstracts indexed in Scopus and 158 article abstracts indexed in WOS and Scopus both (overlapped group). The quality of the abstracts was evaluated according to the PRISMA checklist for abstracts. Some indicators including distribution per year, total citation, average citations per year, average citations per documents and average citations per year in each article were determined through searching the WOS and Scopus Databases’ analytical section. Then, the correlations between the abstract's PRISMA scores, average citations per year, and publication year were calculated. Results: The abstract’s quality is not desirable as far as the PRISMA criteria are concerned. In other words, none of the articles’ abstracts is in line with the PRISMA items. The average of scores of the current study was 5.9 while the maximum score was 12. The PRISMA criteria showed the highest compliance with "Objectives" (98.6%), the second highest with "Synthesis of result" (85%) and "Title" (80.2%) and the lowest compliance with "Registration" (2%). There was a positive correlation between the compliance of PRISMA score and the average citations per year while there was a negative correlation between PRISMA score and the publication year. Conclusion: It seems that the suggested criteria for reporting Iranian systematic reviews and meta-analysis are not considered adequately by the writers and even scientific journal editors. PMID:28955668

MESUR: USAGE-BASED METRICS OF SCHOLARLY IMPACT

DOE Office of Scientific and Technical Information (OSTI.GOV)

BOLLEN, JOHAN; RODRIGUEZ, MARKO A.; VAN DE SOMPEL, HERBERT

2007-01-30

The evaluation of scholarly communication items is now largely a matter of expert opinion or metrics derived from citation data. Both approaches can fail to take into account the myriad of factors that shape scholarly impact. Usage data has emerged as a promising complement to existing methods o fassessment but the formal groundwork to reliably and validly apply usage-based metrics of schlolarly impact is lacking. The Andrew W. Mellon Foundation funded MESUR project constitutes a systematic effort to define, validate and cross-validate a range of usage-based metrics of schlolarly impact by creating a semantic model of the scholarly communication process.more » The constructed model will serve as the basis of a creating a large-scale semantic network that seamlessly relates citation, bibliographic and usage data from a variety of sources. A subsequent program that uses the established semantic network as a reference data set will determine the characteristics and semantics of a variety of usage-based metrics of schlolarly impact. This paper outlines the architecture and methodology adopted by the MESUR project and its future direction.« less

Characterizing Interdisciplinarity of Researchers and Research Topics Using Web Search Engines

PubMed Central

Sayama, Hiroki; Akaishi, Jin

2012-01-01

Researchers' networks have been subject to active modeling and analysis. Earlier literature mostly focused on citation or co-authorship networks reconstructed from annotated scientific publication databases, which have several limitations. Recently, general-purpose web search engines have also been utilized to collect information about social networks. Here we reconstructed, using web search engines, a network representing the relatedness of researchers to their peers as well as to various research topics. Relatedness between researchers and research topics was characterized by visibility boost—increase of a researcher's visibility by focusing on a particular topic. It was observed that researchers who had high visibility boosts by the same research topic tended to be close to each other in their network. We calculated correlations between visibility boosts by research topics and researchers' interdisciplinarity at the individual level (diversity of topics related to the researcher) and at the social level (his/her centrality in the researchers' network). We found that visibility boosts by certain research topics were positively correlated with researchers' individual-level interdisciplinarity despite their negative correlations with the general popularity of researchers. It was also found that visibility boosts by network-related topics had positive correlations with researchers' social-level interdisciplinarity. Research topics' correlations with researchers' individual- and social-level interdisciplinarities were found to be nearly independent from each other. These findings suggest that the notion of “interdisciplinarity" of a researcher should be understood as a multi-dimensional concept that should be evaluated using multiple assessment means. PMID:22719935

Characterizing interdisciplinarity of researchers and research topics using web search engines.

PubMed

Sayama, Hiroki; Akaishi, Jin

2012-01-01

Researchers' networks have been subject to active modeling and analysis. Earlier literature mostly focused on citation or co-authorship networks reconstructed from annotated scientific publication databases, which have several limitations. Recently, general-purpose web search engines have also been utilized to collect information about social networks. Here we reconstructed, using web search engines, a network representing the relatedness of researchers to their peers as well as to various research topics. Relatedness between researchers and research topics was characterized by visibility boost-increase of a researcher's visibility by focusing on a particular topic. It was observed that researchers who had high visibility boosts by the same research topic tended to be close to each other in their network. We calculated correlations between visibility boosts by research topics and researchers' interdisciplinarity at the individual level (diversity of topics related to the researcher) and at the social level (his/her centrality in the researchers' network). We found that visibility boosts by certain research topics were positively correlated with researchers' individual-level interdisciplinarity despite their negative correlations with the general popularity of researchers. It was also found that visibility boosts by network-related topics had positive correlations with researchers' social-level interdisciplinarity. Research topics' correlations with researchers' individual- and social-level interdisciplinarities were found to be nearly independent from each other. These findings suggest that the notion of "interdisciplinarity" of a researcher should be understood as a multi-dimensional concept that should be evaluated using multiple assessment means.

Bibliometrics of NIHR HTA monographs and their related journal articles.

PubMed

Royle, Pamela; Waugh, Norman

2015-02-18

A bibliometric analysis of the UK National Institute for Health Research (NIHR) Health Technology Assessment (HTA) monographs and their related journal articles by: (1) exploring the differences in citations to the HTA monographs in Google Scholar (GS), Scopus and Web of Science (WoS), and (2) comparing Scopus citations to the monographs with their related journal articles. A study of 111 HTA monographs published in 2010 and 2011, and their external journal articles. Citations to the monographs in GS, Scopus and WoS, and to their external journal articles in Scopus. The number of citations varied among the three databases, with GS having the highest and WoS the lowest; however, the citation-based rankings among the databases were highly correlated. Overall, 56% of monographs had a related publication, with the highest proportion for primary research (76%) and lowest for evidence syntheses (43%). There was a large variation in how the monographs were cited, compared to journal articles, resulting in more frequent problems, with unlinked citations in Scopus and WoS. When comparing differences in the number of citations between monograph publications with their related journal articles from the same project, we found that monographs received more citations than their journal articles for evidence syntheses and methodology projects; by contrast, journal articles related to primary research monographs were more highly cited than their monograph. The numbers of citations to the HTA monographs differed considerably between the databases, but were highly correlated. When a HTA monograph had a journal article from the same study, there were more citations to the journal article for primary research, but more to the monographs for evidence syntheses. Citations to the related journal articles were more reliably recorded than citations to the HTA monographs. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Data Sharing Effect on Article Citation Rate in Paleoceanography

NASA Astrophysics Data System (ADS)

Sears, J. R.

2011-12-01

The validation of scientific results requires reproducible methods and data. Often, however, data sets supporting research articles are not openly accessible and interlinked. This analysis tests whether open sharing and linking of supporting data through the PANGAEA° data library measurably increases the citation rate of articles published between 1993 and 2010 in the journal Paleoceanography as reported in the Thomson Reuters Web of Science database. The 12.85% (171) of articles with publicly available supporting data sets received 19.94% (8,056) of the aggregate citations (40,409). Publicly available data were thus significantly (p=0.007, 95% confidence interval) associated with about 35% more citations per article than the average of all articles sampled over the 18-year study period (1,331), and the increase is fairly consistent over time (14 of 18 years). This relationship between openly available, curated data and increased citation rate may incentivize researchers to share their data.

Case report classics in otolaryngology - head and neck surgery: citation analysis.

PubMed

Edelmayer, L W; Fenton, J E; Yellin, S A; Shearer, D J; Coelho, D H

2018-06-12

To analyse publication and citations trends of case reports within otolaryngology - head and neck surgery literature, with specific attention to the most-cited reports.Study designDatabase query. Web of Science was searched for article type 'case reports' published in the leading otolaryngology - head and neck surgery journals since 1945. Variables including publication dates, citation dates and numbers, author, author number, and others were recorded and analysed for trends. The reports with the most citations (classics) were further studied. Of nearly 67 000 published articles in leading otolaryngology - head and neck surgery journals, the overall number of case reports as a percentage of the total has substantially decreased over time. A total of 110 case report classics were identified for which citations have increased. Although the case report may not be worthy of its tarnished record, declining trends in publication suggest a limited future for this valuable research and educational resource.

Analysis of Citations to Biomedical Articles Affected by Scientific Misconduct

PubMed Central

Dailey, Rhonda K.; Abrams, Judith

2014-01-01

We describe the ongoing citations to biomedical articles affected by scientific misconduct, and characterize the papers that cite these affected articles. The citations to 102 articles named in official findings of scientific misconduct during the period of 1993 and 2001 were identified through the Institute for Scientific Information Web of Science database. Using a stratified random sampling strategy, we performed a content analysis of 603 of the 5,393 citing papers to identify indications of awareness that the cited articles affected by scientific misconduct had validity issues, and to examine how the citing papers referred to the affected articles. Fewer than 5% of citing papers indicated any awareness that the cited article was retracted or named in a finding of misconduct. We also tested the hypothesis that affected articles would have fewer citations than a comparison sample; this was not supported. Most articles affected by misconduct were published in basic science journals, and we found little cause for concern that such articles may have affected clinical equipoise or clinical care. PMID:19597966

Analysis of citations to biomedical articles affected by scientific misconduct.

PubMed

Neale, Anne Victoria; Dailey, Rhonda K; Abrams, Judith

2010-06-01

We describe the ongoing citations to biomedical articles affected by scientific misconduct, and characterize the papers that cite these affected articles. The citations to 102 articles named in official findings of scientific misconduct during the period of 1993 and 2001 were identified through the Institute for Scientific Information Web of Science database. Using a stratified random sampling strategy, we performed a content analysis of 603 of the 5,393 citing papers to identify indications of awareness that the cited articles affected by scientific misconduct had validity issues, and to examine how the citing papers referred to the affected articles. Fewer than 5% of citing papers indicated any awareness that the cited article was retracted or named in a finding of misconduct. We also tested the hypothesis that affected articles would have fewer citations than a comparison sample; this was not supported. Most articles affected by misconduct were published in basic science journals, and we found little cause for concern that such articles may have affected clinical equipoise or clinical care.

Generalized friendship paradox in complex networks: The case of scientific collaboration

NASA Astrophysics Data System (ADS)

Eom, Young-Ho; Jo, Hang-Hyun

2014-04-01

The friendship paradox states that your friends have on average more friends than you have. Does the paradox ``hold'' for other individual characteristics like income or happiness? To address this question, we generalize the friendship paradox for arbitrary node characteristics in complex networks. By analyzing two coauthorship networks of Physical Review journals and Google Scholar profiles, we find that the generalized friendship paradox (GFP) holds at the individual and network levels for various characteristics, including the number of coauthors, the number of citations, and the number of publications. The origin of the GFP is shown to be rooted in positive correlations between degree and characteristics. As a fruitful application of the GFP, we suggest effective and efficient sampling methods for identifying high characteristic nodes in large-scale networks. Our study on the GFP can shed lights on understanding the interplay between network structure and node characteristics in complex networks.

Generalized friendship paradox in complex networks: The case of scientific collaboration

PubMed Central

Eom, Young-Ho; Jo, Hang-Hyun

2014-01-01

The friendship paradox states that your friends have on average more friends than you have. Does the paradox “hold” for other individual characteristics like income or happiness? To address this question, we generalize the friendship paradox for arbitrary node characteristics in complex networks. By analyzing two coauthorship networks of Physical Review journals and Google Scholar profiles, we find that the generalized friendship paradox (GFP) holds at the individual and network levels for various characteristics, including the number of coauthors, the number of citations, and the number of publications. The origin of the GFP is shown to be rooted in positive correlations between degree and characteristics. As a fruitful application of the GFP, we suggest effective and efficient sampling methods for identifying high characteristic nodes in large-scale networks. Our study on the GFP can shed lights on understanding the interplay between network structure and node characteristics in complex networks. PMID:24714092

Increasing prominence of implantology research: a chronological trend analysis of 100 top-cited articles in periodontal journals.

PubMed

Chiang, Ho-Sheng; Huang, Ren-Yeong; Weng, Pei-Wei; Mau, Lian-Ping; Su, Chi-Chun; Tsai, Yi-Wen Cathy; Wu, Yu-Chiao; Chung, Chi-Hsiang; Shieh, Yi-Shing; Cheng, Wan-Chien

To identify 100 top-cited articles published in periodontal journals and analyse the research trends by using citation analysis. 100 top-cited articles published in periodontal journals were retrieved by searching the database of the ISI Web of Science and Journal Citation reports. For each article, the following principal bibliometric parameters: authorship, geographic and institute origin, manuscript type, study design, scope of study, and citation count of each time period were analysed from 1965 to 2015. The identified 100 top-cited articles were retrieved from five periodontal journals and citation counts were recorded between 262 and 1,693 times. For the institute of origin, the most productive institute, in terms of the number of 100 top-cited articles published, was the University of Gothenburg (Sweden) (n = 19), followed by the Forsyth Dental Center (USA) (n = 15). Most manuscripts were original research (n = 74), and the inflammatory periodontal disease (n = 59) was the most frequent topic studied. Interestingly, the trend of increase average citation reached significance for implantology (β = 26.75, P = 0.003) and systemic interactions (β = 29.83, P = 0.005), but not for inflammatory disease (β = -10.30, P = 0.248) and tissue regeneration (β = 9.04, P = 0.081). By using multivariable linear regression in a generalised linear model, suitable published journal (Journal of Clinical Periodontology), geographic regions (Europe), more intense international collaboration, adequate manuscript type (review article) and study design (systematic review) could be attributed to escalating average citation counts in implantology (all P < 0.05). However, for systemic interactions, only geographic region and study design were significantly associated with the increasing citation trend. These principal bibliometric characteristics revealed escalated trends in average citation count in implantology throughout time. Conflict-of-interest statement The authors have stated explicitly that there are no conflicts of interest in connection with this article. The study was self-funded by the authors and their institution.

Impact of Article Language in Multi-Language Medical Journals - a Bibliometric Analysis of Self-Citations and Impact Factor

PubMed Central

Diekhoff, Torsten; Schlattmann, Peter; Dewey, Marc

2013-01-01

Background In times of globalization there is an increasing use of English in the medical literature. The aim of this study was to analyze the influence of English-language articles in multi-language medical journals on their international recognition – as measured by a lower rate of self-citations and higher impact factor (IF). Methods and Findings We analyzed publications in multi-language journals in 2008 and 2009 using the Web of Science (WoS) of Thomson Reuters (former Institute of Scientific Information) and PubMed as sources of information. The proportion of English-language articles during the period was compared with both the share of self-citations in the year 2010 and the IF with and without self-citations. Multivariable linear regression analysis was performed to analyze these factors as well as the influence of the journals‘ countries of origin and of the other language(s) used in publications besides English. We identified 168 multi-language journals that were listed in WoS as well as in PubMed and met our criteria. We found a significant positive correlation of the share of English articles in 2008 and 2009 with the IF calculated without self-citations (Pearson r=0.56, p = <0.0001), a correlation with the overall IF (Pearson r = 0.47, p = <0.0001) and with the cites to years of IF calculation (Pearson r = 0.34, p = <0.0001), and a weak negative correlation with the share of self-citations (Pearson r = -0.2, p = 0.009). The IF without self-citations also correlated with the journal‘s country of origin – North American journals had a higher IF compared to Middle and South American or European journals. Conclusion Our findings suggest that a larger share of English articles in multi-language medical journals is associated with greater international recognition. Fewer self-citations were found in multi-language journals with a greater share of original articles in English. PMID:24146929

The 100 most cited manuscripts in emergency abdominal surgery: A bibliometric analysis.

PubMed

Ellul, Thomas; Bullock, Nicholas; Abdelrahman, Tarig; Powell, Arfon G M T; Witherspoon, Jolene; Lewis, Wyn G

2017-01-01

The number of citations a scientific article receives provides a good indication of its impact within any given field. This bibliometric analysis aimed to identify the 100 most cited articles in Emergency Abdominal Surgery (EAS), to highlight key areas of interest and identify those that have most significantly shaped contemporary clinical practice in this newly evolving surgical specialty. This is of increasing relevance as concerns grow regarding the variable and suboptimal outcomes in Emergency General Surgery. The Thomson Reuters Web of Science database was used to search using the terms [Emergency AND Abdom* AND Surg*] to identify all English language, full manuscripts. Results were ranked according to citation number. The top 100 articles were further analysed by subject, author, journal, year of publication, institution, and country of origin. The median (range) citation number of the top 100 out of 7433 eligible papers was 131 (1569-97). The most cited paper (by Goldman et al., Massachusetts General Hospital, New England Journal of Medicine; 1569 citations) focused on cardiac risk stratification in non-cardiac surgery. The Journal of Trauma, Injury, Infection and Critical Care published the most papers and received most citations (n = 19; 2954 citations. The majority of papers were published by centres in the USA (n = 52; 9422 citations), followed by the UK (n = 13; 1816 citations). The most common topics of publication concerned abdominal aneurysm management (n = 26) and emergency gastrointestinal surgery (n = 26). Vascular surgery, risk assessment and gastrointestinal surgery were the areas of focus for 59% of the contemporary most cited emergency abdominal surgery manuscripts. By providing the most influential references this work serves as a guide to what makes a citable emergency surgery paper. Crown Copyright © 2016. Published by Elsevier Ltd. All rights reserved.

Citation Analysis of Hepatitis Monthly by Journal Citation Report (ISI), Google Scholar, and Scopus

PubMed Central

Miri, Seyyed Mohammad; Raoofi, Azam; Heidari, Zahra

2012-01-01

Background Citation analysis as one of the most widely used methods of bibliometrics can be used for computing the various impact measures for scholars based on data from citation databases. Journal Citation Reports (JCR) from Thomson Reuters provides annual report in the form of impact factor (IF) for each journal. Objectives We aimed to evaluate the citation parameters of Hepatitis Monthly by JCR in 2010 and compare them with GS and Sc. Materials and Methods All articles of Hepat Mon published in 2009 and 2008 which had been cited in 2010 in three databases including WoS, Sc and GS gathered in a spreadsheet. The IFs were manually calculated. Results Among the 104 total published articles the accuracy rates of GS and Sc in recording the total number of articles was 96% and 87.5%. There was a difference between IFs among the three databases (0.793 in ISI [Institute for Scientific Information], 0.945 in Sc and 0.85 GS). The missing rate of citations in ISI was 4% totally. Original articles were the main cited types, whereas, guidelines and clinical challenges were the least ones. Conclusions None of the three databases succeed to record all articles published in the journal. Despite high sensitivity of GS comparing to Sc, it cannot be a reliable source for indexing since GS has lack of screening in the data collection and low specificity. Using an average of three IFs is suggested to find the correct IF. Editors should be more aware on the role of original articles in increasing IF and the potential efficacy of review articles in long term impact factor. PMID:23087765

What Do They Use? Where Do They Get It? An Interdisciplinary Citation Analysis of Latin American Studies Faculty Monographs, 2004-2013

ERIC Educational Resources Information Center

Ostos, Manuel

2017-01-01

This citation analysis examines the ability of the local collection at the Pennsylvania State University to meet the needs of global and area studies researchers focusing on monographs published by faculty members on Latin American studies in a ten-year period. The study focuses on book use to address the tempting notion that packages and online…

Determining the Publication Impact of a Digital Library

NASA Technical Reports Server (NTRS)

Kaplan, Nancy R.; Nelson, Michael L.

2000-01-01

We attempt to assess the publication impact of a digital library (DL) of aerospace scientific and technical information (STI). The Langley Technical Report Server (LTRS) is a digital library of over 1,400 electronic publications authored by NASA Langley Research Center personnel or contractors and has been available in its current World Wide Web (WWW) form since 1994. In this study, we examine calendar year 1997 usage statistics of LTRS and the Center for AeroSpace Information (CASI), a facility that archives and distributes hard copies of NASA and aerospace information. We also perform a citation analysis on some of the top publications distributed by LTRS. We find that although LTRS distributes over 71,000 copies of publications (compared with an estimated 24,000 copies from CASI), citation analysis indicates that LTRS has almost no measurable publication impact. We discuss the caveats of our investigation, speculate on possible different models of usage facilitated by DLs , and suggest retrieval analysis as a complementary metric to citation analysis. While our investigation failed to establish a relationship between LTRS and increased citations and raises at least as many questions as it answers, we hope it will serve as a invitation to, and guide for, further research in the use of DLs.

Citation indices for social media articles in urology.

PubMed

Calopedos, Ross J S; Garcia, Cindy; Rashid, Prem; Murphy, Declan G; Lawrentschuk, Nathan; Woo, Henry H

2017-05-01

To evaluate the impact of publications on urological participation in social media (SoMe) by virtue of citations in the urological and non-urological literature. On 15 March 2016, a PubMed search was undertaken using the names of the major SoMe platforms in current use and associated with the field of urology. The search term 'urolog*' was used to specifically capture articles that could be associated with 'urology', 'urologist' or 'urological'. Exclusion criteria for analysis included non-English language articles, articles published for the first time online in any form after 1 March 2015, articles irrelevant to the topic of SoMe, and letters of correspondence. Included articles were then searched in Google Scholar and citations analysed to determine if citations were from the urological literature or non-urological literature. Citations from non-urological journals were considered to be as such even if authored by urologists and on the subject of urology and SoMe. Prior to exclusions as defined in the methods, our PubMed search yielded 232 articles of which 17 were non-English language and 66 had been published after 1 March 2015. Allowing for 12 months after the most recent articles were published, we found that the mean number of total citations in any journal was 20.8. There were more citations in journals not specific to urology, with 8.3 citations in urological journals, compared to 12.6 citations in non-urological journals. Urological SoMe journal articles are highly cited, particularly in the non-urological literature. It is likely that the magnitude of citations has positively contributed to the impact factors of the almost all journals publishing these manuscripts. © 2017 The Authors BJU International © 2017 BJU International Published by John Wiley & Sons Ltd.

Citation Analysis of the Korean Journal of Urology From Web of Science, Scopus, Korean Medical Citation Index, KoreaMed Synapse, and Google Scholar

PubMed Central

2013-01-01

The Korean Journal of Urology began to be published exclusively in English in 2010 and is indexed in PubMed Central/PubMed. This study analyzed a variety of citation indicators of the Korean Journal of Urology before and after 2010 to clarify the present position of the journal among the urology category journals. The impact factor, SCImago Journal Rank (SJR), impact index, Z-impact factor (ZIF, impact factor excluding self-citation), and Hirsch Index (H-index) were referenced or calculated from Web of Science, Scopus, SCImago Journal & Country Ranking, Korean Medical Citation Index (KoMCI), KoreaMed Synapse, and Google Scholar. Both the impact factor and the total citations rose rapidly beginning in 2011. The 2012 impact factor corresponded to the upper 84.9% in the nephrology-urology category, whereas the 2011 SJR was in the upper 58.5%. The ZIF in KoMCI was one fifth of the impact factor because there are only two other urology journals in KoMCI. Up to 2009, more than half of the citations in the Web of Science were from Korean researchers, but from 2010 to 2012, more than 85% of the citations were from international researchers. The H-indexes from Web of Science, Scopus, KoMCI, KoreaMed Synapse, and Google Scholar were 8, 10, 12, 9, and 18, respectively. The strategy of the language change in 2010 was successful from the perspective of citation indicators. The values of the citation indicators will continue to increase rapidly and consistently as the research achievement of authors of the Korean Journal of Urology increases. PMID:23614057

Citation Analysis of the Korean Journal of Urology From Web of Science, Scopus, Korean Medical Citation Index, KoreaMed Synapse, and Google Scholar.

PubMed

Huh, Sun

2013-04-01

The Korean Journal of Urology began to be published exclusively in English in 2010 and is indexed in PubMed Central/PubMed. This study analyzed a variety of citation indicators of the Korean Journal of Urology before and after 2010 to clarify the present position of the journal among the urology category journals. The impact factor, SCImago Journal Rank (SJR), impact index, Z-impact factor (ZIF, impact factor excluding self-citation), and Hirsch Index (H-index) were referenced or calculated from Web of Science, Scopus, SCImago Journal & Country Ranking, Korean Medical Citation Index (KoMCI), KoreaMed Synapse, and Google Scholar. Both the impact factor and the total citations rose rapidly beginning in 2011. The 2012 impact factor corresponded to the upper 84.9% in the nephrology-urology category, whereas the 2011 SJR was in the upper 58.5%. The ZIF in KoMCI was one fifth of the impact factor because there are only two other urology journals in KoMCI. Up to 2009, more than half of the citations in the Web of Science were from Korean researchers, but from 2010 to 2012, more than 85% of the citations were from international researchers. The H-indexes from Web of Science, Scopus, KoMCI, KoreaMed Synapse, and Google Scholar were 8, 10, 12, 9, and 18, respectively. The strategy of the language change in 2010 was successful from the perspective of citation indicators. The values of the citation indicators will continue to increase rapidly and consistently as the research achievement of authors of the Korean Journal of Urology increases.

Highly cited articles in wind tunnel-related research: a bibliometric analysis.

PubMed

Mo, Ziwei; Fu, Hui-Zhen; Ho, Yuh-Shan

2018-06-01

Wind tunnels have been widely employed in aerodynamic research. To characterize the high impact research, a bibliometric analysis was conducted on highly cited articles related to wind tunnel based on the Science Citation Index Expanded (SCI-EXPANDED) database from 1900 to 2014. Articles with at least 100 citations from the Web of Science Core Collection were selected and analyzed in terms of publication years, authors, institutions, countries/territories, journals, Web of Science categories, and citation life cycles. The results show that a total of 77 highly cited articles in 37 journals were published between 1959 and 2008. Journal of Fluid Mechanics published the most of highly cited articles. The USA was the most productive country and most frequent partner of internationally collaboration. The prolific institutions were mainly located in the USA and UK. The authors who were both first author and corresponding author published 88% of the articles. The Y index was also deployed to evaluate the publication characteristics of authors. Moreover, the articles with high citations in both history and the latest year with their citation life cycles were examined to provide insights for high impact research. The highly cited articles were almost earliest wind tunnel experimental data and reports on their own research specialty, and thus attracted high citations. It was revealed that classic works of wind tunnel research was frequently occurred in 1990s but much less in 2000s, probably due to the development of numerical models of computational fluid dynamic (CFD) in recent decades.

Stress in nurses: The 100 top-cited papers published in nursing journals.

PubMed

Martín-Del-Río, Beatriz; Solanes-Puchol, Ángel; Martínez-Zaragoza, Fermín; Benavides-Gil, Gemma

2018-03-08

To identify and analyse the 100 most cited papers on stress in nurses published in nursing journals. The number of citations an article receives is an index of its impact on the scientific community. An analysis of the most cited articles on stress in nursing would allow us to identify the most important articles and to obtain information about this area of knowledge. A retrospective bibliometric analysis. In 2016, 111 journals belonging to the "nursing" category were identified in the Science and Social Science Citation Index. A search was performed of the Science Core Collection Website for articles on stress published in these journals. The topic, type of article, publishing journal, countries and institutions of origin and year of publication were extracted from the articles. The impact factor, immediacy index, journal country and publisher and h index were collected from the Institute for Scientific Information. The citation density, citation tendency and Bradford's law were calculated. They identified articles were mostly empirical quantitative studies with a transversal design, published from 1975 - 2011 in 23 journals. They were signed by 233 authors, most of whom are English-speaking from the USA and UK. The core distribution of the publications comprises a single journal, the Journal of Advanced Nursing. The study of stress in nursing has shown increased visibility and recognition each decade. The most recent articles have the highest number of citations, are the highest in rank and have the higher citation densities. © 2018 John Wiley & Sons Ltd.

[Bibliometric map of Spain 1996-2004: biomedicine and health sciences].

PubMed

Méndez-Vásquez, Raúl Isaac; Suñén-Pinyol, Eduard; Cervelló, Rosa; Camí, Jordi

2008-03-01

The study presents the bibliometric analysis of the Spanish scientific output in biomedicine during 1996-2004. This is the last edition of a series of bibliometric studies aimed to characterize the Spanish scientific performance in biomedicine. The analysis was restricted to citable documents for which simple and composite bibliometric indicators were obtained at different aggregation levels: fields, autonomous regions, institutional sectors and research centres. The documents were selected according to the Journal Citation Reports, and were assigned to affiliation centres following an integer counting scheme after an exhaustive normalization of the affiliation addresses. Compared to the period 1994-2002, research activity in biomedicine grew as much as Spain: 8.9% in the number of documents; 22.5% citations; 12.5% citation per document average and 27.2% international cooperation. Besides, biomedicine showed the highest citation per document average compared to other major fields. International cooperation in biomedicine (27.2%) reached the European average. The documents published in international cooperation account for the half of citations to documents in biomedicine. The number of documents and citations belonging to the clinic medicine subfield and to the health sector showed the highest growth. In general, these results reproduce the tendencies described in prior studies. The documents in biomedicine showed a highly asymmetric distribution among institutional sectors, autonomous regions, scientific fields and research centres. The remarkably increase in the output of clinical medicine field and in the health sector could be the consequence of important science policy actions undertaken in these areas in the last years.

Comparisons of citations in Web of Science, Scopus, and Google Scholar for articles published in general medical journals.

PubMed

Kulkarni, Abhaya V; Aziz, Brittany; Shams, Iffat; Busse, Jason W

2009-09-09

Until recently, Web of Science was the only database available to track citation counts for published articles. Other databases are now available, but their relative performance has not been established. To compare the citation count profiles of articles published in general medical journals among the citation databases of Web of Science, Scopus, and Google Scholar. Cohort study of 328 articles published in JAMA, Lancet, or the New England Journal of Medicine between October 1, 1999, and March 31, 2000. Total citation counts for each article up to June 2008 were retrieved from Web of Science, Scopus, and Google Scholar. Article characteristics were analyzed in linear regression models to determine interaction with the databases. Number of citations received by an article since publication and article characteristics associated with citation in databases. Google Scholar and Scopus retrieved more citations per article with a median of 160 (interquartile range [IQR], 83 to 324) and 149 (IQR, 78 to 289), respectively, than Web of Science (median, 122; IQR, 66 to 241) (P < .001 for both comparisons). Compared with Web of Science, Scopus retrieved more citations from non-English-language sources (median, 10.2% vs 4.1%) and reviews (30.8% vs 18.2%), and fewer citations from articles (57.2% vs 70.5%), editorials (2.1% vs 5.9%), and letters (0.8% vs 2.6%) (all P < .001). On a log(10)-transformed scale, fewer citations were found in Google Scholar to articles with declared industry funding (nonstandardized regression coefficient, -0.09; 95% confidence interval [CI], -0.15 to -0.03), reporting a study of a drug or medical device (-0.05; 95% CI, -0.11 to 0.01), or with group authorship (-0.29; 95% CI, -0.35 to -0.23). In multivariable analysis, group authorship was the only characteristic that differed among the databases; Google Scholar had significantly fewer citations to group-authored articles (-0.30; 95% CI, -0.36 to -0.23) compared with Web of Science. Web of Science, Scopus, and Google Scholar produced quantitatively and qualitatively different citation counts for articles published in 3 general medical journals.

Fitting the Jigsaw of Citation: Information Visualization in Domain Analysis.

ERIC Educational Resources Information Center

Chen, Chaomei; Paul, Ray J.; O'Keefe, Bob

2001-01-01

Discusses the role of information visualization in modeling and representing intellectual structures associated with scientific disciplines and visualizes the domain of computer graphics based on bibliographic data from author cocitation patterns. Highlights include author cocitation maps, citation time lines, animation of a high-dimensional…

Spatial abilities and technical skills performance in health care: a systematic review.

PubMed

Langlois, Jean; Bellemare, Christian; Toulouse, Josée; Wells, George A

2015-11-01

The aim of this study was to conduct a systematic review and meta-analysis of the relationship between spatial abilities and technical skills performance in health care in beginners and to compare this relationship with those in intermediate and autonomous learners. Search criteria included 'spatial abilities' and 'technical skills'. Keywords related to these criteria were defined. A literature search was conducted to 20 December, 2013 in Scopus (including MEDLINE) and in several databases on EBSCOhost platforms (CINAHL Plus with Full Text, ERIC, Education Source and PsycINFO). Citations were obtained and reviewed by two independent reviewers. Articles related to retained citations were reviewed and a final list of eligible articles was determined. Articles were assessed for quality using the Scottish Intercollegiate Guidelines Network-50 assessment instrument. Data were extracted from articles in a systematic way. Correlations between spatial abilities test scores and technical skills performance were identified. A series of 8289 citations was obtained. Eighty articles were retained and fully reviewed, yielding 36 eligible articles. The systematic review found a tendency for spatial abilities to be negatively correlated with the duration of technical skills and positively correlated with the quality of technical skills performance in beginners and intermediate learners. Pooled correlations of studies were -0.46 (p = 0.03) and -0.38 (95% confidence interval [CI] -0.53 to -0.21) for duration and 0.33 (95% CI 0.20-0.44) and 0.41 (95% CI 0.26-0.54) for quality of technical skills performance in beginners and intermediate learners, respectively. However, correlations between spatial abilities test scores and technical skills performance were not statistically significant in autonomous learners. Spatial abilities are an important factor to consider in selecting and training individuals in technical skills in health care. © 2015 John Wiley & Sons Ltd.

[Evaluation of "Japanese Journal of Psychology" using citation analysis].

PubMed

Kato, Tsukasa; Baba, Mamiko; Tabata, Naoya; Shimoda, Shunsuke; Fukuda, Mildki; Okubo, Nobutoshi

2013-06-01

This study investigated the professional impact of "Japanese Journal of Psychology." Thirty four psychological journals written in Japanese were selected to register articles in a new database. This database included approximately 23,900 articles published through 2010. Using citations extracted from the references and footnotes in these scholarly journals, the Psychology Citation Index for Japanese Papers was created. The citation impact factors in Japanese psychology was determined on the basis of the number of times a journal was cited, cumulative impact factors, and the cited half-life of the journal; five years was a valid period for impact factor of psychological journals in Japan. The changes in the 5-year impact factors of "Japanese Journal of Psychology" were reviewed by comparing it with other journals.

Water Distribution System Deficiencies and Gastrointestinal Illness: A Systematic Review and Meta-Analysis

PubMed Central

Gruber, Joshua S.; Colford, John M.

2014-01-01

Background: Water distribution systems are vulnerable to performance deficiencies that can cause (re)contamination of treated water and plausibly lead to increased risk of gastrointestinal illness (GII) in consumers. Objectives: It is well established that large system disruptions in piped water networks can cause GII outbreaks. We hypothesized that routine network problems can also contribute to background levels of waterborne illness and conducted a systematic review and meta-analysis to assess the impact of distribution system deficiencies on endemic GII. Methods: We reviewed published studies that compared direct tap water consumption to consumption of tap water re-treated at the point of use (POU) and studies of specific system deficiencies such as breach of physical or hydraulic pipe integrity and lack of disinfectant residual. Results: In settings with network malfunction, consumers of tap water versus POU-treated water had increased GII [incidence density ratio (IDR) = 1.34; 95% CI: 1.00, 1.79]. The subset of nonblinded studies showed a significant association between GII and tap water versus POU-treated water consumption (IDR = 1.52; 95% CI: 1.05, 2.20), but there was no association based on studies that blinded participants to their POU water treatment status (IDR = 0.98; 95% CI: 0.90, 1.08). Among studies focusing on specific network deficiencies, GII was associated with temporary water outages (relative risk = 3.26; 95% CI: 1.48, 7.19) as well as chronic outages in intermittently operated distribution systems (odds ratio = 1.61; 95% CI: 1.26, 2.07). Conclusions: Tap water consumption is associated with GII in malfunctioning distribution networks. System deficiencies such as water outages also are associated with increased GII, suggesting a potential health risk for consumers served by piped water networks. Citation: Ercumen A, Gruber JS, Colford JM Jr. 2014. Water distribution system deficiencies and gastrointestinal illness: a systematic review and meta-analysis. Environ Health Perspect 122:651–660; http://dx.doi.org/10.1289/ehp.1306912 PMID:24659576

Entitymetrics: Measuring the Impact of Entities

PubMed Central

Ding, Ying; Song, Min; Han, Jia; Yu, Qi; Yan, Erjia; Lin, Lili; Chambers, Tamy

2013-01-01

This paper proposes entitymetrics to measure the impact of knowledge units. Entitymetrics highlight the importance of entities embedded in scientific literature for further knowledge discovery. In this paper, we use Metformin, a drug for diabetes, as an example to form an entity-entity citation network based on literature related to Metformin. We then calculate the network features and compare the centrality ranks of biological entities with results from Comparative Toxicogenomics Database (CTD). The comparison demonstrates the usefulness of entitymetrics to detect most of the outstanding interactions manually curated in CTD. PMID:24009660

Impact of Article Page Count and Number of Authors on Citations in Disability Related Fields: A Systematic Review Article.

PubMed

Ahmed, Abubakar; Adam, Mastura; Ghafar, Norafida A; Muhammad, Murtala; Ebrahim, Nader Ale

2016-09-01

Citation metrics and total publications in a field has become the gold standard for rating researchers and viability of a field. Hence, stimulating demand for citation has led to a search for useful strategies to improve performance metric index. Meanwhile, title, abstract and morphologic qualities of the articles attract researchers to scientific publications. Yet, there is relatively little understanding of the citation trend in disability related fields. We aimed to provide an insight into the factors associated with citation increase in this field. Additionally, we tried to know at what page number an article might appear attractive to disability researchers needs. Thus, our focus is placed on the article page count and the number of authors contributing to the fields per article. To this end, we evaluated the quantitative characteristics of top cited articles in the fields with a total citation (≥50) in the Web of Science (WoS) database. Using one-way independent ANOVA, data extracted spanning a period of 1980-2015 were analyzed, while the non-parametric data analysis uses Kruskal-Walis test. Articles with 11 to 20 pages attract more citations followed by those within the range of zero to 10. Articles with upward 21 pages are the least cited. Surprisingly, articles with more than two authors are significantly ( P <0.05) less cited and the citation decreases as the number of authors increased. Collaborative studies enjoy wider utilization and more citation, yet discounted merit of additional pages and limited collaborative research in disability field is revealed in this study.

Measuring the Value of Research Data: A Citation Analysis of Oceanographic Data Sets

PubMed Central

Belter, Christopher W.

2014-01-01

Evaluation of scientific research is becoming increasingly reliant on publication-based bibliometric indicators, which may result in the devaluation of other scientific activities - such as data curation – that do not necessarily result in the production of scientific publications. This issue may undermine the movement to openly share and cite data sets in scientific publications because researchers are unlikely to devote the effort necessary to curate their research data if they are unlikely to receive credit for doing so. This analysis attempts to demonstrate the bibliometric impact of properly curated and openly accessible data sets by attempting to generate citation counts for three data sets archived at the National Oceanographic Data Center. My findings suggest that all three data sets are highly cited, with estimated citation counts in most cases higher than 99% of all the journal articles published in Oceanography during the same years. I also find that methods of citing and referring to these data sets in scientific publications are highly inconsistent, despite the fact that a formal citation format is suggested for each data set. These findings have important implications for developing a data citation format, encouraging researchers to properly curate their research data, and evaluating the bibliometric impact of individuals and institutions. PMID:24671177

Measuring the value of research data: a citation analysis of oceanographic data sets.

PubMed

Belter, Christopher W

2014-01-01

Evaluation of scientific research is becoming increasingly reliant on publication-based bibliometric indicators, which may result in the devaluation of other scientific activities--such as data curation--that do not necessarily result in the production of scientific publications. This issue may undermine the movement to openly share and cite data sets in scientific publications because researchers are unlikely to devote the effort necessary to curate their research data if they are unlikely to receive credit for doing so. This analysis attempts to demonstrate the bibliometric impact of properly curated and openly accessible data sets by attempting to generate citation counts for three data sets archived at the National Oceanographic Data Center. My findings suggest that all three data sets are highly cited, with estimated citation counts in most cases higher than 99% of all the journal articles published in Oceanography during the same years. I also find that methods of citing and referring to these data sets in scientific publications are highly inconsistent, despite the fact that a formal citation format is suggested for each data set. These findings have important implications for developing a data citation format, encouraging researchers to properly curate their research data, and evaluating the bibliometric impact of individuals and institutions.

[Translation of knowledge on cervical cancer: is there a gap between research on causes and research on patient care?].

PubMed

Fajardo-Ortiz, David; Ochoa, Héctor; García, Luis; Castaño, Víctor

2014-02-01

This article constructs a map on the translation of knowledge concerning cervical cancer, based on citation networks analysis and the use of Gene Ontology terms and Medical Subject Headings. We identified two areas of research that are poorly interconnected and differ in structure, content, and evolution. One focuses on causes of cancer and the other on patient care. The first research area showed a knowledge translation process where basic research and clinical research are communicated through a set of articles that consolidate human papillomavirus infection as the necessary cause of cervical cancer. The first area aims to prevent HPV infection and the development of cervical cancer, while the second aims to stage and treat the disease.

Liposomes versus metallic nanostructures: differences in the process of knowledge translation in cancer.

PubMed

Fajardo-Ortiz, David; Duran, Luis; Moreno, Laura; Ochoa, Héctor; Castaño, Víctor M

2014-01-01

This research maps the knowledge translation process for two different types of nanotechnologies applied to cancer: liposomes and metallic nanostructures (MNs). We performed a structural analysis of citation networks and text mining supported in controlled vocabularies. In the case of liposomes, our results identify subnetworks (invisible colleges) associated with different therapeutic strategies: nanopharmacology, hyperthermia, and gene therapy. Only in the pharmacological strategy was an organized knowledge translation process identified, which, however, is monopolized by the liposomal doxorubicins. In the case of MNs, subnetworks are not differentiated by the type of therapeutic strategy, and the content of the documents is still basic research. Research on MNs is highly focused on developing a combination of molecular imaging and photothermal therapy.

Liposomes versus metallic nanostructures: differences in the process of knowledge translation in cancer

PubMed Central

Fajardo-Ortiz, David; Duran, Luis; Moreno, Laura; Ochoa, Héctor; Castaño, Víctor M

2014-01-01

This research maps the knowledge translation process for two different types of nanotechnologies applied to cancer: liposomes and metallic nanostructures (MNs). We performed a structural analysis of citation networks and text mining supported in controlled vocabularies. In the case of liposomes, our results identify subnetworks (invisible colleges) associated with different therapeutic strategies: nanopharmacology, hyperthermia, and gene therapy. Only in the pharmacological strategy was an organized knowledge translation process identified, which, however, is monopolized by the liposomal doxorubicins. In the case of MNs, subnetworks are not differentiated by the type of therapeutic strategy, and the content of the documents is still basic research. Research on MNs is highly focused on developing a combination of molecular imaging and photothermal therapy. PMID:24920900

Journals Supporting Terrorism Research: Identification and Investigation into Their Impact on the Social Sciences

ERIC Educational Resources Information Center

Bullis, Daryl R.; Irving, Richard D.

2013-01-01

A citation analysis of two preeminent terrorism journals ("Terrorism and Political Violence" and "Studies in Conflict and Terrorism") was used to identify 37 additional social science journals of significant importance to terrorism research. Citation data extracted from the "Web of Science" database was used to…

Discovering Authorities and Hubs in Different Topological Web Graph Structures.

ERIC Educational Resources Information Center

Meghabghab, George

2002-01-01

Discussion of citation analysis on the Web considers Web hyperlinks as a source to analyze citations. Topics include basic graph theory applied to Web pages, including matrices, linear algebra, and Web topology; and hubs and authorities, including a search technique called HITS (Hyperlink Induced Topic Search). (Author/LRW)

Analysis of bibliometric indicators to determine citation bias

USDA-ARS?s Scientific Manuscript database

Publications from the 1995 to 2004 period (and cited throughout July 2013) were analyzed to determine if the plant species used in research studies influenced the number of citations that papers received. Bibliometric data of papers from 108 plant species were obtained for the research fields of Gen...

Two Medical Literatures That Are Logically But Not Bibliographically Connected.

ERIC Educational Resources Information Center

Swanson, Don R.

1987-01-01

Describes a study which demonstrates that unintended logical connections within scientific literature, which potentially reveal new knowledge, are unmarked by reference citations or other bibliographic clues. Citation analysis of two separate literatures in biomedicine that have a logical link is used to support this hypothesis. (Author/CLB)

Engineering Education Research in "European Journal of Engineering Education" and "Journal of Engineering Education": Citation and Reference Discipline Analysis

ERIC Educational Resources Information Center

Wankat, Phillip C.; Williams, Bill; Neto, Pedro

2014-01-01

The authors, citations and content of "European Journal of Engineering Education" ("EJEE") and "Journal of Engineering Education" ("JEE") in 1973 ("JEE," 1975 "EJEE"), 1983, 1993, 2003, and available 2013 issues were analysed. Both journals transitioned from house organs to become…

Aircraft gas-turbine engines: Noise reduction and vibration control. (Latest citations from Information Services in Mechanical Engineering data base). Published Search

DOE Office of Scientific and Technical Information (OSTI.GOV)

Not Available

1992-06-01

The bibliography contains citations concerning the design and analysis of aircraft gas turbine engines with respect to noise and vibration control. Included are studies regarding the measurement and reduction of noise at its source, within the aircraft, and on the ground. Inlet, nozzle and core aerodynamic studies are cited. Propfan, turbofan, turboprop engines, and applications in short take-off and landing (STOL) aircraft are included. (Contains a minimum of 202 citations and includes a subject term index and title list.)

US Army Research Laboratory Visualization Framework Architecture Document

DTIC Science & Technology

2018-01-11

this report are not to be construed as an official Department of the Army position unless so designated by other authorized documents. Citation of...release; distribution is unlimited. 14. ABSTRACT Visualization of network science experimentation results is generally achieved using stovepipe...report documents the ARL Visualization Framework system design and specific details of its implementation. 15. SUBJECT TERMS visualization

Is autoimmunology a discipline of its own? A big data-based bibliometric and scientometric analyses.

PubMed

Watad, Abdulla; Bragazzi, Nicola Luigi; Adawi, Mohammad; Amital, Howard; Kivity, Shaye; Mahroum, Naim; Blank, Miri; Shoenfeld, Yehuda

2017-06-01

Autoimmunology is a super-specialty of immunology specifically dealing with autoimmune disorders. To assess the extant literature concerning autoimmune disorders, bibliometric and scientometric analyses (namely, research topics/keywords co-occurrence, journal co-citation, citations, and scientific output trends - both crude and normalized, authors network, leading authors, countries, and organizations analysis) were carried out using open-source software, namely, VOSviewer and SciCurve. A corpus of 169,519 articles containing the keyword "autoimmunity" was utilized, selecting PubMed/MEDLINE as bibliographic thesaurus. Journals specifically devoted to autoimmune disorders were six and covered approximately 4.15% of the entire scientific production. Compared with all the corpus (from 1946 on), these specialized journals have been established relatively few decades ago. Top countries were the United States, Japan, Germany, United Kingdom, Italy, China, France, Canada, Australia, and Israel. Trending topics are represented by the role of microRNAs (miRNAs) in the ethiopathogenesis of autoimmune disorders, contributions of genetics and of epigenetic modifications, role of vitamins, management during pregnancy and the impact of gender. New subsets of immune cells have been extensively investigated, with a focus on interleukin production and release and on Th17 cells. Autoimmunology is emerging as a new discipline within immunology, with its own bibliometric properties, an identified scientific community and specifically devoted journals.

Bibliographic Analysis of Nature Based on Twitter and Facebook Altmetrics Data

PubMed Central

Xia, Feng; Su, Xiaoyan; Wang, Wei; Zhang, Chenxin; Ning, Zhaolong; Lee, Ivan

2016-01-01

This paper presents a bibliographic analysis of Nature articles based on altmetrics. We assess the concern degree of social users on the Nature articles through the coverage analysis of Twitter and Facebook by publication year and discipline. The social media impact of a Nature article is examined by evaluating the mention rates on Twitter and on Facebook. Moreover, the correlation between tweets and citations is analyzed by publication year, discipline and Twitter user type to explore factors affecting the correlation. The results show that Twitter users have a higher concern degree on Nature articles than Facebook users, and Nature articles have higher and faster-growing impact on Twitter than on Facebook. The results also show that tweets and citations are somewhat related, and they mostly measure different types of impact. In addition, the correlation between tweets and citations highly depends on publication year, discipline and Twitter user type. PMID:27906981

A Bibliometric History of the Journal of Psychology Between 1936 and 2015.

PubMed

Tur-Porcar, Ana; Mas-Tur, Alicia; Merigó, José M; Roig-Tierno, Norat; Watt, John

2018-05-19

The Journal of Psychology: Interdisciplinary and Applied is a leading international journal in psychology dating back to 1935. This study examines its publications since its creation utilizing a bibliometric analysis. The primary objective is to provide a complete overview of the key factors affecting the journal. This analysis includes such key issues as the publication and citation structure of the journal, its most cited articles, and the leading authors, institutions, and countries referenced in the journal. The work uses the Scopus database to classify the bibliographic material. Additionally, the analysis provides a graphical mapping of the bibliographic data by using visualization of similarities viewer software. This software uses several bibliometric techniques including co-citation, bibliographic coupling and co-occurrence of keywords. The Journal of Psychology is strongly connected to most of the current leading journals in psychology, and currently has a 5-year impact factor of 1.77 (Thomson Reuters, 2015 Journal Citation Reports).

Bibliographic Analysis of Nature Based on Twitter and Facebook Altmetrics Data.

PubMed

Xia, Feng; Su, Xiaoyan; Wang, Wei; Zhang, Chenxin; Ning, Zhaolong; Lee, Ivan

2016-01-01

This paper presents a bibliographic analysis of Nature articles based on altmetrics. We assess the concern degree of social users on the Nature articles through the coverage analysis of Twitter and Facebook by publication year and discipline. The social media impact of a Nature article is examined by evaluating the mention rates on Twitter and on Facebook. Moreover, the correlation between tweets and citations is analyzed by publication year, discipline and Twitter user type to explore factors affecting the correlation. The results show that Twitter users have a higher concern degree on Nature articles than Facebook users, and Nature articles have higher and faster-growing impact on Twitter than on Facebook. The results also show that tweets and citations are somewhat related, and they mostly measure different types of impact. In addition, the correlation between tweets and citations highly depends on publication year, discipline and Twitter user type.

Characterizing the Networks of Digital Information that Support Collaborative Adaptive Forest Management in Sierra Nevada Forests.

PubMed

Lei, Shufei; Iles, Alastair; Kelly, Maggi

2015-07-01

Some of the factors that can contribute to the success of collaborative adaptive management--such as social learning, open communication, and trust--are built upon a foundation of the open exchange of information about science and management between participants and the public. Despite the importance of information transparency, the use and flow of information in collaborative adaptive management has not been characterized in detail in the literature, and currently there exist opportunities to develop strategies for increasing the exchange of information, as well as to track information flow in such contexts. As digital information channels and networks have been increased over the last decade, powerful new information monitoring tools have also been evolved allowing for the complete characterization of information products through their production, transport, use, and monitoring. This study uses these tools to investigate the use of various science and management information products in a case study--the Sierra Nevada Adaptive Management Project--using a mixed method (citation analysis, web analytics, and content analysis) research approach borrowed from the information processing and management field. The results from our case study show that information technologies greatly facilitate the flow and use of digital information, leading to multiparty collaborations such as knowledge transfer and public participation in science research. We conclude with recommendations for expanding information exchange in collaborative adaptive management by taking advantage of available information technologies and networks.

Characterizing the Networks of Digital Information that Support Collaborative Adaptive Forest Management in Sierra Nevada Forests

NASA Astrophysics Data System (ADS)

Lei, Shufei; Iles, Alastair; Kelly, Maggi

2015-07-01

Some of the factors that can contribute to the success of collaborative adaptive management—such as social learning, open communication, and trust—are built upon a foundation of the open exchange of information about science and management between participants and the public. Despite the importance of information transparency, the use and flow of information in collaborative adaptive management has not been characterized in detail in the literature, and currently there exist opportunities to develop strategies for increasing the exchange of information, as well as to track information flow in such contexts. As digital information channels and networks have been increased over the last decade, powerful new information monitoring tools have also been evolved allowing for the complete characterization of information products through their production, transport, use, and monitoring. This study uses these tools to investigate the use of various science and management information products in a case study—the Sierra Nevada Adaptive Management Project—using a mixed method (citation analysis, web analytics, and content analysis) research approach borrowed from the information processing and management field. The results from our case study show that information technologies greatly facilitate the flow and use of digital information, leading to multiparty collaborations such as knowledge transfer and public participation in science research. We conclude with recommendations for expanding information exchange in collaborative adaptive management by taking advantage of available information technologies and networks.

Best one hundred papers of International Orthopaedics: a bibliometric analysis.

PubMed

Mavrogenis, Andreas F; Megaloikonomos, Panayiotis D; Panagopoulos, Georgios N; Mauffrey, Cyril; Quaile, Andrew; Scarlat, Marius M

2017-04-01

International Orthopaedics was founded in 1977. Within the 40 volumes and 247 issues since its launch, 5462 scientific articles have been published. This article identifies, analyses and categorises the best cited articles published by the journal to date. We searched Elsevier Scopus database for citations of all papers published in International Orthopaedics since its foundation. Source title was selected, and the journal's title was introduced in the search engine. The identified articles were sorted based on their total number of received citations, forming a descending list from 1 to 100. Total citations and self-citations of all co-authors were recorded. Year of publication, number of co-authors, number of pages, country and institution of origin and study type were identified. The best 100 papers and their citations correspond approximately to 2% of all the journal's publications. Total citations ranged from 62 to 272; 26 papers had >100 citations, of which self-citations accounted for <4%. Mean authorship number per paper was four and mean page number 6.5. United States, Japan and Germany ranked the top three countries of origin. The most common study type was case series, and most common topics were adult reconstruction, sports medicine and trauma. This article identifies topics, authors and institutions that contributed with their high-quality work in the journal's development over time. International Orthopaedics remains faithful to its authors and readers by publishing topical, well-written articles in excellent English.

The Top 50 most-cited articles on Total Ankle Arthroplasty: A bibliometric analysis.

PubMed

Malik, Azeem Tariq; Noordin, Shahryar

2018-03-29

Total Ankle Arthroplasty (TAA) is a relatively new and evolving field in Foot and Ankle surgery. We conducted a citation analysis to identify the characteristics of the top 50 most cited articles on total ankle arthroplasty. Using the Web of Science database and the search strategy total ankle arthroplasty OR total ankle replacement , we identified 2445 articles. After filtering for relevant articles, the top 50 cited articles on total ankle arthroplasty were retrieved for descriptive and statistical analysis. The publication years ranged from 1979 to 2013. USA was the most productive country in terms of research output, followed by the UK. Though citation analysis has its flaws, this is a comprehensive list of the top 50 articles significantly impacting literature on total ankle arthroplasty. Based on our study, we conclude that there is marked deficiency of high level articles with respect to the number of citations and future researches need to cater to this question to produce high quality studies.

Hegemonic structure of basic, clinical and patented knowledge on Ebola research: a US army reductionist initiative.

PubMed

Fajardo-Ortiz, David; Ortega-Sánchez-de-Tagle, José; Castaño, Victor M

2015-04-19

Ebola hemorrhagic fever (Ebola) is still a highly lethal infectious disease long affecting mainly neglected populations in sub-Saharan Africa. Moreover, this disease is now considered a potential worldwide threat. In this paper, we present an approach to understand how the basic, clinical and patent knowledge on Ebola is organized and intercommunicated and what leading factor could be shaping the evolution of the knowledge translation process for this disease. A combination of citation network analysis; analysis of Medical heading Subject (MeSH) and Gene Ontology (GO) terms, and quantitative content analysis for patents and scientific literature, aimed to map the organization of Ebola research was carried out. We found six putative research fronts (i.e. clusters of high interconnected papers). Three research fronts are basic research on Ebola virus structural proteins: glycoprotein, VP40 and VP35, respectively. There is a fourth research front of basic research papers on pathogenesis, which is the organizing hub of Ebola research. A fifth research front is pre-clinical research focused on vaccines and glycoproteins. Finally, a clinical-epidemiology research front related to the disease outbreaks was identified. The network structure of patent families shows that the dominant design is the use of Ebola virus proteins as targets of vaccines and other immunological treatments. Therefore, patents network organization resembles the organization of the scientific literature. Specifically, the knowledge on Ebola would flow from higher (clinical-epidemiology) to intermediated (cellular-tissular pathogenesis) to lower (molecular interactions) levels of organization. Our results suggest a strong reductionist approach for Ebola research probably influenced by the lethality of the disease. On the other hand, the ownership profile of the patent families network and the main researches relationship with the United State Army suggest a strong involvement of this military institution in Ebola research.

Archaeology: site studies, activation analysis, preservation, and remote sensing. 1978-November 1979 (citations from the NTIS Data Base). Report for 1978-November 1979

DOE Office of Scientific and Technical Information (OSTI.GOV)

Not Available

1981-01-01

This bibliography contains general studies as well as chemical analysis of archaeological specimens. The chemical analysis is mainly activation analysis of articles such as metals, pottery, coins, paintings, soils, glass and paper from Medieval, Grecian, Egyptian, Mayan, and prehistoric times. The general studies include results of excavation from the United States. Also covered is work on preservation of artifacts and remote sensing for the site location. (This updated bibliography contains 237 citations, none of which are new entries to the previous edition.)

Driving experience, crashes and traffic citations of teenage beginning drivers.

PubMed

McCartt, Anne T; Shabanova, Veronika I; Leaf, William A

2003-05-01

Teenagers were surveyed by telephone every 6 months from their freshman to senior high school years (N=911). Self-reported crash involvements and citations were examined for each teenager's first year of licensure and first 3500 miles driven. Based on survival analysis, the risk of a first crash during the first month of licensure (0.053) was substantially higher than during any of the next 11 months (mean risk per month: 0.025). The likelihood of a first citation during the first month of licensure (0.023) also was higher than during any of the subsequent 11 months (mean risk per month: 0.012). Similarly, when viewed as a function of cumulative miles driven, the risk of a first crash or citation was highest during the first 500 miles driven after licensure. Fewer parental restrictions (e.g. no nighttime curfew) and a lower grade point average (GPA) were associated with a higher crash risk. Male gender, a lower GPA and living in a rural area were associated with a higher citation rate.

The citation impact of hydrology journals

NASA Astrophysics Data System (ADS)

Clark, Martyn P.; Hanson, R. Brooks

2017-06-01

We examine a suite of journal-level productivity and citation statistics for six leading hydrology journals in order to help authors understand the robustness and meaning of journal impact factors. The main results are (1) the probability distribution of citations is remarkably homogenous across hydrology journals; (2) hydrology papers tend to have a long-lasting impact, with a large fraction of papers cited after the 2 year window used to calculate the journal impact factor; and (3) journal impact factors are characterized by substantial year-to-year variability (especially for smaller journals), primarily because a small number of highly cited papers have a large influence on the journal impact factor. Consequently, the ranking of hydrology journals with respect to the journal impact factor in a given year does not have much information content. These results highlight problems in using citation data to evaluate hydrologic science. We hope that this analysis helps authors better understand journal-level citation statistics, and also helps improve research assessments in institutions and funding agencies.

[Analysis on theses and citation of the "Chinese Journal of Parasitology and Parasitic Diseases" in 2004-2005].

PubMed

Sheng, Hui-feng; Fu, Xiu-lan; Bo, Wei; Hu, Ya-qing; Dai, Jing

2006-06-01

The published articles and citation of the Chinese Journal of Parasitology and Parasitic Diseases in 2004-2005 were statistically analyzed. Among 312 papers published in the two years, original articles and experiment reports occupied 42.3% and 7.7% respectively. Authors were mainly from colleges/universities (61.5%) and institutions for disease control (28.5%). 51.9% of the articles received support by research funds/foundations. 82.3% were with reference citation mostly from periodicals, with 58.7% and 31.5% respectively from international and national (Chinese) journals. The average Price index was 44.9%. This Journal possesses a group of stable and qualified authors, covers substantial content with relatively broad citation, and is an important source of information in parasitological research.

Influences of Chinese Educational Journals--Research Based on 2000-2004 CSSCI

ERIC Educational Resources Information Center

Gong, Fang; Xu, Juan; Fu, Jian; Deng, Sanhong; Bai, Yun

2007-01-01

Based on the analyses on the quality of educational periodicals and the number of publications and citations in Chinese Social Sciences Citation Index (CSSCI), this paper intends to make an analysis and introduction of the general situation of Chinese educational journals and publications during 2000-2004. Results show that the quantity of…

Investing Wisely: Citation Rankings as a Measure of Quality in Library and Information Science Journals

ERIC Educational Resources Information Center

Via, Barbara J.; Schmidle, Deborah J.

2007-01-01

The library and information science field is currently confronted with difficult decisions about how best to allocate acquisition expenditures among increasingly expensive journals. This article measures the return-on-investment of serial expenditures through the use of citation analysis, which is a widely used approach to ascertaining journal…

Who's Who in Introductory Psychology Textbooks: A Citation Analysis Redux

ERIC Educational Resources Information Center

Griggs, Richard A.; Christopher, Andrew N.

2016-01-01

It is important to assess periodically how introductory textbooks portray our discipline because introductory psychology is the most popular psychology course, almost all teachers use textbooks for it, and textbooks play a major role in defining the course for students. To do so, past studies have used textbook citation analyses. We analyzed…

Real-time Author Co-citation Mapping for Online Searching.

ERIC Educational Resources Information Center

Lin, Xia; White, Howard D.; Buzydlowski, Jan

2003-01-01

Describes the design and implementation of a prototype visualization system, AuthorLink, to enhance author searching. AuthorLink is based on author co-citation analysis and visualization mapping algorithms. AuthorLink produces interactive author maps in real time from a database of 1.26 million records supplied by the Institute for Scientific…

A Bibliometric Analysis of Communication Journals from 2002 to 2005

ERIC Educational Resources Information Center

Feeley, Thomas Hugh

2008-01-01

Journal impact ratings are often used by authors, promotion/hiring committees, and grant review teams as a proxy for scholarship quality. Journal citation data (2002-2005) from Social Sciences Citation Index were used to rank journals in the field of communication. A journal relatedness algorithm was applied to ascertain the 19 semantically…

Using Citation Analysis Heuristics to Prepare TAs across the Disciplines as Teachers and Writers

ERIC Educational Resources Information Center

Serviss, Tricia

2016-01-01

National discussions about source-based, academic writing in higher education have been and are increasingly tied to concerns about citation proficiency, plagiarism, and academic integrity. In response to these discussions, scholars have argued for better pedagogical strategies to teach students how to work with sources in effective and ethical…

Impact of Article Page Count and Number of Authors on Citations in Disability Related Fields: A Systematic Review Article

PubMed Central

AHMED, Abubakar; ADAM, Mastura; GHAFAR, Norafida A.; MUHAMMAD, Murtala; EBRAHIM, Nader Ale

2016-01-01

Background: Citation metrics and total publications in a field has become the gold standard for rating researchers and viability of a field. Hence, stimulating demand for citation has led to a search for useful strategies to improve performance metric index. Meanwhile, title, abstract and morphologic qualities of the articles attract researchers to scientific publications. Yet, there is relatively little understanding of the citation trend in disability related fields. We aimed to provide an insight into the factors associated with citation increase in this field. Additionally, we tried to know at what page number an article might appear attractive to disability researchers needs. Thus, our focus is placed on the article page count and the number of authors contributing to the fields per article. Methods: To this end, we evaluated the quantitative characteristics of top cited articles in the fields with a total citation (≥50) in the Web of Science (WoS) database. Using one-way independent ANOVA, data extracted spanning a period of 1980–2015 were analyzed, while the non-parametric data analysis uses Kruskal-Walis test. Results: Articles with 11 to 20 pages attract more citations followed by those within the range of zero to 10. Articles with upward 21 pages are the least cited. Surprisingly, articles with more than two authors are significantly (P<0.05) less cited and the citation decreases as the number of authors increased. Conclusion: Collaborative studies enjoy wider utilization and more citation, yet discounted merit of additional pages and limited collaborative research in disability field is revealed in this study. PMID:27957456

Citation classics in neuro-oncology: assessment of historical trends and scientific progress.

PubMed

Hachem, Laureen D; Mansouri, Alireza; Juraschka, Kyle; Taslimi, Shervin; Pirouzmand, Farhad; Zadeh, Gelareh

2017-09-01

Citation classics represent the highest cited works in a field and are often regarded as the most influential literature. Analyzing thematic trends in citation classics across eras enables recognition of important historical advances within a field. We present the first analysis of the citation classics in neuro-oncology. The Web of Science database was searched using terms relevant to "neuro-oncology." Articles with >400 citations were identified and the top 100 cited articles were evaluated. The top 100 neuro-oncology citation classics consisted of 43 clinical studies (17 retrospective, 10 prospective, 16 randomized trials), 43 laboratory investigations, 8 reviews/meta-analyses, and 6 guidelines/consensus statements. Articles were classified into 4 themes: 13 pertained to tumor classification, 37 to tumor pathogenesis/clinical presentation, 6 to imaging, 44 to therapy (15 chemotherapy, 10 radiotherapy, 5 surgery, 14 new agents). Gliomas were the most common tumor type examined, with 70 articles. There was a significant increase in the number of citation classics in the late 1990s, which was paralleled by an increase in studies examining tumor pathogenesis, chemotherapy, and new agents along with laboratory and randomized studies. The majority of citation classics in neuro-oncology are related to gliomas and pertain to tumor pathogenesis and treatment. The rise in citation classics in recent years investigating tumor biology, new treatment agents, and chemotherapeutics may reflect increasing scientific interest in nonsurgical treatments for CNS tumors and the need for fundamental investigations into disease processes. © The Author(s) 2017. Published by Oxford University Press on behalf of the Society for Neuro-Oncology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com

Cited Brazilian papers in general surgery between 1970 and 2009

PubMed Central

Heldwein, Flavio L.; Hartmann, Antonio A.; Kalil, Antonio N.; Neves, Bruno V. D.; Ratti, Giorigo S. B.; Beber, Moises C.; Souza, Rafael M.; d’Acampora, Armando J.

2010-01-01

OBJECTIVES To identify the most cited articles in general surgery published by Brazilian authors. INTRODUCTION There are several ways for the international community to recognize the quality of a scientific article. Although controversial, the most widely used and reliable methodology to identify the importance of an article is citation analysis. METHODS A search using the Institute for Scientific Information citation database (Science Citation Index Expanded) was performed to identify highly cited Brazilian papers published in twenty-six highly cited general surgery journals, selected based on their elevated impact factors, from 1970 to 2009. Further analysis was done on the 65 most-cited papers. RESULTS We identified 1,713 Brazilian articles, from which nine papers emerged as classics (more than 100 citations received). For the Brazilian contributions, a total increase of about 21-fold was evident between 1970 and 2009. Although several topics were covered, articles covering trauma, oncology and organ transplantation were the most cited. The majority of classic studies were done with international cooperation. CONCLUSIONS This study identified the most influential Brazilian articles published in internationally renowned general surgery journals. PMID:20535371

Cited Brazilian papers in general surgery between 1970 and 2009.

PubMed

Heldwein, Flavio L; Hartmann, Antonio A; Kalil, Antonio N; Neves, Bruno V D; Ratti, Giorigo S B; Beber, Moises C; Souza, Rafael M; d'Acampora, Armando J

2010-05-01

To identify the most cited articles in general surgery published by Brazilian authors. There are several ways for the international community to recognize the quality of a scientific article. Although controversial, the most widely used and reliable methodology to identify the importance of an article is citation analysis. A search using the Institute for Scientific Information citation database (Science Citation Index Expanded) was performed to identify highly cited Brazilian papers published in twenty-six highly cited general surgery journals, selected based on their elevated impact factors, from 1970 to 2009. Further analysis was done on the 65 most-cited papers. We identified 1,713 Brazilian articles, from which nine papers emerged as classics (more than 100 citations received). For the Brazilian contributions, a total increase of about 21-fold was evident between 1970 and 2009. Although several topics were covered, articles covering trauma, oncology and organ transplantation were the most cited. The majority of classic studies were done with international cooperation. This study identified the most influential Brazilian articles published in internationally renowned general surgery journals.

A study on literature obsolescence and core journals' cost-benefit in citations of the 'Scientific Medical Journal of Ahwaz'.

PubMed

Zare-Farashbandi, Firoozeh; Mohammadi, Parastoo Parsaei

2014-01-01

One of the methods of identifying core and popular resources is by citation evaluation. Using citation evaluation, the librarians of the Acquisition Department can use quantitative methods to indentify core and popular resources among numerous information resources and make serious savings in the library's budget, by acquiring these core resources and eliminating useless ones. The aim of this study is assessing literature obsolescence and core journals' cost-benefit in citations of the 'Scientific Medical Journal of Ahwaz'. This study is a descriptive and cross-sectional survey that uses citation analysis. Sampling is objective sampling from all documents from years 1364 (1985) to 1385 (2006), and the population comprises of 6342 citations of the articles published in 'Scientific Medical Journal of Ahwaz'. Data collection is done through referring to the original documents and the data is analyzed using the Excel software, and for descriptive and analytical statistics the cost-benefit formula and Bradford law formula are used. Findings showed that the average citation for each document in the 'Scientific Medical Journal of Ahwaz' was 15.81. The average citation to international sources was 14.37, and the average citation to national sources was 1.44. The literature obsolescence of Farsi documents in this study was 15 years, while it was equal to 20 years for English documents. The highly cited Farsi journals were (sorted based on citation in descending order): 'Scientific Medical Journal of Ahwaz', 'Daroudarman', 'Nabz,' and 'Journal of Medical School, Shahid Beheshti University of Medical Sciences'. The highly cited English journals were (sorted based on citation in descending order): 'Pediatrics', 'The New England Journal of Medicine', 'Gastroenterology' and 'Medicine'. All of these four journals are part of the ISI database and have good impact factors in the Journal Citation Reports (JCR). Also their cost-benefit was reasonable based on the frequency of their use. The authors of the investigated journal were more inclined to use international references. The resources used by the authors of this journal are relatively obsolete and the authors ought to use more up-to-date resources. The subscription for high citation English and Farsi journals is still available in this university. Also the authors of this journal have used accredited ISI journals as their resource, which is a sign of the credibility for the 'Scientific Medical Journal of Ahwaz'.

A Bibliometric Analysis of the 100 Most-cited Articles in Rhinoplasty.

PubMed

Sinha, Yashashwi; Iqbal, Fahad M; Spence, John N; Richard, Bruce

2016-07-01

Citation analysis aims to quantify the importance and influence of a published article within its field. We performed a bibliometric analysis to determine the most highly cited articles within rhinoplasty and their impact on current practice. The 100 most-cited articles relating to rhinoplasty, between and inclusive of January 1864 to September 2015, were extracted from Web of Science in October 2015. Title, source journal, publication year, total citations, average citations/year, type of article, level of evidence, country of origin, main focus, use of outcome measures, incorporation into "Selected Readings in Plastic Surgery," and funding status were recorded. The total number of citations per article ranged from 61 to 276 (1.5-12.1 average citations per year). Surgical technique was the focus of 53% of articles, particularly those for reconstruction (75%). The United States produced 72% of articles compared with 8% from the United Kingdom. The top 100 articles were published within 20 journals; "Plastic and Reconstructive Surgeons" contributed the most articles (n = 57). None of the articles achieved level 1 or 2 of evidence (Oxford Centre for Evidence-Based Medicine levels of evidence, 2011), with most achieving level 4 evidence (n = 64). Case-series were the most popular methodology (n = 37). Few articles used validated outcome measures (n = 21). Twenty-nine percent were referenced in "selected readings." Eighty-nine percent were unfunded studies. These top 100 articles are used in current teaching material and underpin surgical decision making. Developing and using validated objective assessment tools will benefit surgeons, patients, and the greater scientific community in objectively evaluating techniques with the most favorable results.

Trends in CT colonography: bibliometric analysis of the 100 most-cited articles.

PubMed

Mohammed, Mohammed Fahim; Chahal, Tejbir; Gong, Bo; Bhulani, Nizar; O'Keefe, Michael; O'Connell, Timothy; Nicolaou, Savvas; Khosa, Faisal

2017-12-01

Our purpose was to identify the top 100 cited articles, which focused on CT colonography (CTC). This list could then be analysed to establish trends in CTC research while also identifying common characteristics of highly cited works. Web of Science search was used to create a database of scientific journals using our search terms. A total of 10,597 articles were returned from this search. Articles were included if they focused on diagnostic imaging, imaging technique, cost-effectiveness analysis, clinical use, patient preference or trends in CTC. Articles were ranked by citation count and screened by two attending radiologists. The following information was collected from each article: database citations, citations per year, year published, journal, authors, department affiliation, study type and design, statistical analysis, sample size, modality and topic. Citations for the top 100 articles ranged from 73 to 1179, and citations per year ranged from 4.5 to 84.21. Articles were published across 22 journals, most commonly Radiology (n = 37) and American Journal of Roentgenology (n = 19). Authors contributed from 1 to 20 articles. 19% of first authors were affiliated with a department other than radiology. Of the 100 articles, the most common topics were imaging technique (n = 40), diagnostic utility of imaging (n = 28) and clinical uses (n = 18). Our study provides intellectual milestones in CTC research, reflecting on the characteristics and quality of published literature. This work also provides the most influential references related to CTC and serves as a guide to the features of a citable paper in this field.

A bibliometric study of scientific literature on the dietary therapies for epilepsy in Scopus.

PubMed

Morandi, Gabriella; Guido, Davide; Tagliabue, Anna

2015-07-01

The aim of this study was to provide a descriptive overview of the impact and production of literature on dietary therapies for epilepsy and perform a citation analysis of the related research articles. We searched for 'ketogenic OR low-glycemic OR medium chain OR modified Atkins in TITLE AND epilep*' in Title/Abstract/Keyword in Scopus database. A total of 661 references were retrieved, 80% had been published after 2000s, 87% were published in English, and 39% of the publications were published in nine journals. The majority (76.3%) of research articles describe the clinical application of the dietary therapies regarding the classical ketogenic diet (80%), followed by the modified Atkins diet (11.5%), medium chain triglyceride diet (6.4%), and low glycemic index treatment (2.0%); the remaining are basic science studies on the mechanisms of action. The citation analysis revealed that the latter have the highest percentage variation in citation per publication across the years. Concerning the article cohorts, the greatest number of citations per publication was in 1998. The overview of the literature on the dietary therapy of epilepsy evidences a growing interest in the field with a striking prevalence of clinical over basic science studies. The most cited clinical studies have validated the efficacy of the dietary therapies; the few studies on the mechanisms of action received a great number of citations. Bibliometric analysis measuring the trends and the impact of the scientific literature would help researchers to a best knowledge of this specific topic.

Exploring an Unknown Territory: "Sleeping Beauties" in the Nursing Research Literature.

PubMed

Kokol, Peter; Blažun Vošner, Helena; Vermeulen, Joeri

Sleeping Beauties (SBs) are publications that are scarcely cited in the years immediately following publication but then suddenly become highly cited later. Such publications have unique citation patterns and can reveal important developments in the field in which they appear. No holistic analysis of nursing SBs has been done yet. The aim of this study was to identify and analyze the SB phenomenon in the nursing research literature. The corpus for the nursing SB identification was harvested from the Web of Science Core Collection (Thomas Reuters) for the period 1934-2015. Citation histories of 212,239 publications were screened. From those, 3,209 publications with more than 100 citations were selected for analysis. We used our own software and applied the van Raan (2004) and Baumgartner (2010) criteria for SBs-a 5-year sleeping period with at most 10 citations during that time, an average of at least five citations per year after the first 10 years, with at least 100 citations in total. The knowledge context for SBs was determined using citing papers. All citing papers were analyzed with the help of VOSviewer software. Nine publications were identified as SBs (prevalence of 0.004%). The length of sleep duration ranged from 5 to 10 years (M = 6.8, SD = 2.0), depth of sleep ranged from 0.2 to 0.8 citations (M = 0.6, SD = 0.2), and awake intensity ranged from 6.4 to 15.0 citations (M = 11.0, SD = 3.8). The average number of citations to SBs was 229. Most nursing SBs were produced in the United States (n = 8) from top institutions in journals with high-impact factors. Nursing SBs covered topics including resilience, sampling in qualitative research, metasynthesis, postoperative pain in children, dementia rating scales, care of patients with Alzheimer's disease, nursing theory related to fatigue mechanisms in cancer patients, and family participation during resuscitation. Nursing SBs were cited by authors from a large number of institutions and countries; the number of publications citing nursing SBs is growing exponentially and showing increasing and global interest in the research presented in them. This study demonstrated that SBs in nursing are similar to other scientific disciplines. Existence of SBs suggests that nursing knowledge accumulation is supported by research and professional processes similar to those that emerged in other academic disciplines.

Reputation and impact in academic careers.

PubMed

Petersen, Alexander Michael; Fortunato, Santo; Pan, Raj K; Kaski, Kimmo; Penner, Orion; Rungi, Armando; Riccaboni, Massimo; Stanley, H Eugene; Pammolli, Fabio

2014-10-28

Reputation is an important social construct in science, which enables informed quality assessments of both publications and careers of scientists in the absence of complete systemic information. However, the relation between reputation and career growth of an individual remains poorly understood, despite recent proliferation of quantitative research evaluation methods. Here, we develop an original framework for measuring how a publication's citation rate Δc depends on the reputation of its central author i, in addition to its net citation count c. To estimate the strength of the reputation effect, we perform a longitudinal analysis on the careers of 450 highly cited scientists, using the total citations Ci of each scientist as his/her reputation measure. We find a citation crossover c×, which distinguishes the strength of the reputation effect. For publications with c < c×, the author's reputation is found to dominate the annual citation rate. Hence, a new publication may gain a significant early advantage corresponding to roughly a 66% increase in the citation rate for each tenfold increase in Ci. However, the reputation effect becomes negligible for highly cited publications meaning that, for c ≥ c×, the citation rate measures scientific impact more transparently. In addition, we have developed a stochastic reputation model, which is found to reproduce numerous statistical observations for real careers, thus providing insight into the microscopic mechanisms underlying cumulative advantage in science.

Reputation and impact in academic careers

PubMed Central

Petersen, Alexander Michael; Fortunato, Santo; Pan, Raj K.; Kaski, Kimmo; Penner, Orion; Rungi, Armando; Riccaboni, Massimo; Stanley, H. Eugene; Pammolli, Fabio

2014-01-01

Reputation is an important social construct in science, which enables informed quality assessments of both publications and careers of scientists in the absence of complete systemic information. However, the relation between reputation and career growth of an individual remains poorly understood, despite recent proliferation of quantitative research evaluation methods. Here, we develop an original framework for measuring how a publication’s citation rate Δc depends on the reputation of its central author i, in addition to its net citation count c. To estimate the strength of the reputation effect, we perform a longitudinal analysis on the careers of 450 highly cited scientists, using the total citations Ci of each scientist as his/her reputation measure. We find a citation crossover c×, which distinguishes the strength of the reputation effect. For publications with c < c×, the author’s reputation is found to dominate the annual citation rate. Hence, a new publication may gain a significant early advantage corresponding to roughly a 66% increase in the citation rate for each tenfold increase in Ci. However, the reputation effect becomes negligible for highly cited publications meaning that, for c ≥ c×, the citation rate measures scientific impact more transparently. In addition, we have developed a stochastic reputation model, which is found to reproduce numerous statistical observations for real careers, thus providing insight into the microscopic mechanisms underlying cumulative advantage in science. PMID:25288774

The 100 most-cited articles on aortic dissection.

PubMed

Lai, Ping; Liu, Yuan-Hui; Xue, Jin-Hua; He, Peng-Cheng; Qiu, Yue-Qun

2017-01-17

To identify and characterize the most frequently cited articles that have been published on aortic dissection. A list of the 100 most frequently cited publications (T100) about aortic dissection was generated by performing a searching of the Science Citation Index--Expanded using "aortic dissection" as the search term. Basic information about the articles was recorded, including number of citations, journal title, journal impact factor, time since publication, first author's country, topic/subspecialty of the research, and publication type. We finally included 180 articles on aortic dissection, from which we identified the 100 most frequently cited articles (T100). The most frequently cited article received 1079 citations, while the least frequently cited article received 68 (mean140.5 citations per article). The T100 originated from 19 countries, with more than half of them originating from the USA (n = 97). The T100 articles were published from 1955 to 2013, with 79% published during the period 1990-2009. In addition, there were 40 different journals with Circulation having the most citations (n = 38). Regarding the article type, there were 21 basic and 140 clinical research articles, one meta-analysis, and 18 review articles. Reviews had the highest mean number of citations (mean 235.5 citations per article). Our study provides a historical perspective on the progress of dissection research, and helps to identify the quality of the work, the discoveries made, and the trends steering the studies.

Analysis of self-citation and impact factor in dermatology journals.

PubMed

Reiter, Ofer; Mimouni, Michael; Mimouni, Daniel

2016-09-01

Concerns have been raised regarding the impact factor's (IF) accuracy and credibility, which may be affected by different factors, including self-citations. To investigate the self-citation rate (SCR) of dermatology journals and its relationship to the IF. Data on all dermatology journals listed in the Journal Citation Reports (JCR) were retrieved, and the following parameters were analyzed: IF, total publications used to calculate the IF, total citations used to calculate the IF, self-citations used to calculate the IF, SCR, and IF without self-citations (corrected IF). The median SCR was 10.53% (0-50%), and the median IF and corrected IF, 1.54 (0.05-6.37) and 1.35 (0.03-5.84), respectively. There was an inverse correlation between the IF and the SCR. A statistically significant difference was noted in the SCR between general and subspecialty journals and between journals that offered a full English text and those that did not. In general, the IF of dermatology journals is not influenced by the SCR. However, journals with a lower IF tend to have a higher SCR. Subspecialty journals and foreign language journals have a higher SCR than general dermatology and English language journals, respectively, probably owing to their limited distribution and the difficulty experienced by international authors in accessing references in specific languages. © 2015 The International Society of Dermatology.

Mapping the general literature of American nursing.

PubMed

Allen, Margaret Peg; Levy, June R

2006-04-01

As part of a project to map the literature of nursing, sponsored by the Nursing and Allied Health Resources Section of the Medical Library Association, this study identifies core journals cited by general or "popular" US nursing journals and the indexing services that cover the cited journals. Three journals were selected for analysis: American Journal of Nursing, Nursing 96-98, and RN. The source journals were subjected to a citation analysis of articles from 1996 to 1998, followed by an analysis of database access to the most frequently cited journal titles. Cited formats included journals (63.7%), books (26.6%), government documents (3.0%), Internet (0.5%), and miscellaneous (6.2%). Cited references were relatively current; most (86.6%) were published in the current decade. One-third of the citations were found in a core of 24 journal titles; one-third were dispersed among a middle zone of 94 titles; and the remaining third were scattered in a larger zone of 694 titles. Indexing coverage for the core titles was most comprehensive in PubMed/MEDLINE, followed by CINAHL and Science Citation Index. Results support the popular (not scholarly) nature of these titles. While not a good source for original research, they fulfill a key role of disseminating nursing knowledge with their relevantly current citations to a broad variety of sources.

Drinking water quality standards and standard tests: Worldwide. (Latest citations from the Food Science and Technology Abstracts database). Published Search

DOE Office of Scientific and Technical Information (OSTI.GOV)

Not Available

1993-06-01

The bibliography contains citations concerning standards and standard tests for water quality in drinking water sources, reservoirs, and distribution systems. Standards from domestic and international sources are presented. Glossaries and vocabularies that concern water quality analysis, testing, and evaluation are included. Standard test methods for individual elements, selected chemicals, sensory properties, radioactivity, and other chemical and physical properties are described. Discussions for proposed standards on new pollutant materials are briefly considered. (Contains a minimum of 203 citations and includes a subject term index and title list.)

Energy supply and demand modeling. (Latest citations from the NTIS bibliographic database). Published Search

DOE Office of Scientific and Technical Information (OSTI.GOV)

Not Available

1994-01-01

The bibliography contains citations concerning the use of mathematical models in trend analysis and forecasting of energy supply and demand factors. Models are presented for the industrial, transportation, and residential sectors. Aspects of long term energy strategies and markets are discussed at the global, national, state, and regional levels. Energy demand and pricing, and econometrics of energy, are explored for electric utilities and natural resources, such as coal, oil, and natural gas. Energy resources are modeled both for fuel usage and for reserves. (Contains 250 citations and includes a subject term index and title list.)

Energy supply and demand modeling. (Latest citations from the NTIS data base). Published Search

DOE Office of Scientific and Technical Information (OSTI.GOV)

Not Available

1992-10-01

The bibliography contains citations concerning the use of mathematical models in trend analysis and forecasting of energy supply and demand factors. Models are presented for the industrial, transportation, and residential sectors. Aspects of long term energy strategies and markets are discussed at the global, national, state, and regional levels. Energy demand and pricing, and econometrics of energy, are explored for electric utilities and natural resources, such as coal, oil, and natural gas. Energy resources are modeled both for fuel usage and for reserves. (Contains 250 citations and includes a subject term index and title list.)

Energy supply and demand modeling. (Latest citations from the NTIS bibliographic database). Published Search

DOE Office of Scientific and Technical Information (OSTI.GOV)

Not Available

1994-12-01

The bibliography contains citations concerning the use of mathematical models in trend analysis and forecasting of energy supply and demand factors. Models are presented for the industrial, transportation, and residential sectors. Aspects of long term energy strategies and markets are discussed at the global, national, state, and regional levels. Energy demand and pricing, and econometrics of energy, are explored for electric utilities and natural resources, such as coal, oil, and natural gas. Energy resources are modeled both for fuel usage and for reserves. (Contains 250 citations and includes a subject term index and title list.)

Database trial impact on graduate nursing comprehensive exams

PubMed Central

Pionke, Katharine; Huckstadt, Alicia

2015-01-01

While the authors were doing a test period of databases, the question of whether or not databases affect outcomes of graduate nursing comprehensive examinations came up. This study explored that question through using citation analysis of exams that were taken during a database trial and exams that were not. The findings showed no difference in examination pass/fail rates. While the pass/fail rates did not change, a great deal was learned in terms of citation accuracy and types of materials that students used, leading to discussions about changing how citation and plagiarism awareness were taught. PMID:26512218

The 100 most cited articles in metastatic spine disease.

PubMed

Cohen, Jonathan; Alan, Nima; Zhou, James; Kojo Hamilton, D

2016-08-01

OBJECTIVE Despite the growing neurosurgical literature, a subset of pioneering studies have significantly impacted the field of metastatic spine disease. The purpose of this study was to identify and analyze the 100 most frequently cited articles in the field. METHODS A keyword search using the Thomson Reuters Web of Science was conducted to identify articles relevant to the field of metastatic spine disease. The results were filtered based on title and abstract analysis to identify the 100 most cited articles. Statistical analysis was used to characterize journal frequency, past and current citations, citation distribution over time, and author frequency. RESULTS The total number of citations for the final 100 articles ranged from 74 to 1169. Articles selected for the final list were published between 1940 and 2009. The years in which the greatest numbers of top-100 studies were published were 1990 and 2005, and the greatest number of citations occurred in 2012. The majority of articles were published in the journals Spine (15), Cancer (11), and the Journal of Neurosurgery (9). Forty-four individuals were listed as authors on 2 articles, 9 were listed as authors on 3 articles, and 2 were listed as authors on 4 articles in the top 100 list. The most cited article was the work by Batson (1169 citations) that was published in 1940 and described the role of the vertebral veins in the spread of metastases. The second most cited article was Patchell's 2005 study (594 citations) discussing decompressive resection of spinal cord metastases. The third most cited article was the 1978 study by Gilbert that evaluated treatment of epidural spinal cord compression due to metastatic tumor (560 citations). CONCLUSIONS The field of metastatic spine disease has witnessed numerous milestones and so it is increasingly important to recognize studies that have influenced the field. In this bibliographic study the authors identified and analyzed the most influential articles in the field of metastatic spine disease.

Citation analytics: Data exploration and comparative analyses of CiteScores of Open Access and Subscription-Based publications indexed in Scopus (2014-2016).

PubMed

Atayero, Aderemi A; Popoola, Segun I; Egeonu, Jesse; Oludayo, Olumuyiwa

2018-08-01

Citation is one of the important metrics that are used in measuring the relevance and the impact of research publications. The potentials of citation analytics may be exploited to understand the gains of publishing scholarly peer-reviewed research outputs in either Open Access (OA) sources or Subscription-Based (SB) sources in the bid to increase citation impact. However, relevant data required for such comparative analysis must be freely accessible for evidence-based findings and conclusions. In this data article, citation scores ( CiteScores ) of 2542 OA sources and 15,040 SB sources indexed in Scopus from 2014 to 2016 were presented and analyzed based on a set of five inclusion criteria. A robust dataset, which contains the CiteScores of OA and SB publication sources included, is attached as supplementary material to this data article to facilitate further reuse. Descriptive statistics and frequency distributions of OA CiteScores and SB CiteScores are presented in tables. Boxplot representations and scatter plots are provided to show the statistical distributions of OA CiteScores and SB CiteScores across the three sub-categories (Book Series, Journal, and Trade Journal). Correlation coefficient and p-value matrices are made available within the data article. In addition, Probability Density Functions (PDFs) and Cumulative Distribution Functions (CDFs) of OA CiteScores and SB CiteScores are computed and the results are presented using tables and graphs. Furthermore, Analysis of Variance (ANOVA) and multiple comparison post-hoc tests are conducted to understand the statistical difference (and its significance, if any) in the citation impact of OA publication sources and SB publication source based on CiteScore . In the long run, the data provided in this article will help policy makers and researchers in Higher Education Institutions (HEIs) to identify the appropriate publication source type and category for dissemination of scholarly research findings with maximum citation impact.

The Most Frequently Cited 100 Articles in Liver Transplantation Literature.

PubMed

Özbilgin, M; Ünek, T; Egeli, T; Ağalar, C; Özbilgin, Ş; Hancı, V; Ellidokuz, H; Astarcıoğlu, I

2017-04-01

We investigated the liver transplantation literature since 1975 and found the most frequently cited 100 articles and assessed the distribution of authors and journals of these articles. Using the advanced mode of the Institute for Scientific Information (ISI) Web of Science (WOS) search engine, the words "SU = transplantation AND TI = liver OR SU = transplantation AND TS = liver" were used to scan articles and determine the most-cited 100 articles on July 18, 2016. From 1975 to date, it appears a total of 43,369 articles were published in the field of liver transplantation in the WOS. Although the most cited article had 677 citations, the least cited article had 180 citations. The mean citation number for the 100 articles was 252.31 ± 96.75. The mean annual citation number for the articles varied from 61.55 to 5 and the mean was 15.31 ± 8.63. The most cited article was by Feng et al "Characteristics Associated With Liver Graft Failure: The Concept of a Donor Risk Index" published in the American Journal of Transplantation (677 citations). Bibliometric analysis highlights the key topics and publications that have shaped the understanding and management of liver transplantation. According to our research, this is the first study to investigate articles with most citations in the field of liver transplantation. In our study the article with the most citations was cited 677 times, whereas the 100th article was cited 180 times with a mean citation number for the 100 articles of 252.31 ± 96.75. Copyright © 2017 Elsevier Inc. All rights reserved.

Respiratory syncytial virus: a systematic scientometric analysis of the global publication output and the gender distribution of publishing authors

PubMed Central

Brüggmann, Dörthe; Köster, Corinna; Klingelhöfer, Doris; Bauer, Jan; Ohlendorf, Daniela; Bundschuh, Matthias; Groneberg, David A

2017-01-01

Objective Worldwide, the respiratory syncytial virus (RSV) represents the predominant viral agent causing bronchiolitis and pneumonia in children. To conduct research and tackle existing healthcare disparities, RSV-related research activities around the globe need to be described. Hence, we assessed the associated scientific output (represented by research articles) by geographical, chronological and socioeconomic criteria and analysed the authors publishing in the field by gender. Also, the 15 most cited articles and the most prolific journals were identified for RSV research. Design Retrospective, descriptive study. Setting The NewQIS (New Quality and Quantity Indices in Science) platform was employed to identify RSV-related articles published in the Web of Science until 2013. We performed a numerical analysis of all articles, and examined citation-based aspects (eg, citation rates); results were visualised by density equalising mapping tools. Results We identified 4600 RSV-related articles. The USA led the field; US-American authors published 2139 articles (46.5%% of all identified articles), which have been cited 83 000 times. When output was related to socioeconomic benchmarks such as gross domestic product or Research and Development expenditures, Guinea-Bissau, The Gambia and Chile were ranked in leading positions. A total of 614 articles on RSV (13.34% of all articles) were attributed to scientific collaborations. These were primarily established between high-income countries. The gender analysis indicated that male scientists dominated in all countries except Brazil. Conclusions The majority of RSV-related research articles originated from high-income countries whereas developing nations showed only minimal publication productivity and were barely part of any collaborative networks. Hence, research capacity in these nations should be increased in order to assist in addressing inequities in resource allocation and the clinical burden of RSV in these countries. PMID:28751483

Longitudinal Patent Analysis for Nanoscale Science and Engineering: Country, Institution and Technology Field

NASA Astrophysics Data System (ADS)

Huang, Zan; Chen, Hsinchun; Yip, Alan; Ng, Gavin; Guo, Fei; Chen, Zhi-Kai; Roco, Mihail C.

2003-08-01

Nanoscale science and engineering (NSE) and related areas have seen rapid growth in recent years. The speed and scope of development in the field have made it essential for researchers to be informed on the progress across different laboratories, companies, industries and countries. In this project, we experimented with several analysis and visualization techniques on NSE-related United States patent documents to support various knowledge tasks. This paper presents results on the basic analysis of nanotechnology patents between 1976 and 2002, content map analysis and citation network analysis. The data have been obtained on individual countries, institutions and technology fields. The top 10 countries with the largest number of nanotechnology patents are the United States, Japan, France, the United Kingdom, Taiwan, Korea, the Netherlands, Switzerland, Italy and Australia. The fastest growth in the last 5 years has been in chemical and pharmaceutical fields, followed by semiconductor devices. The results demonstrate potential of information-based discovery and visualization technologies to capture knowledge regarding nanotechnology performance, transfer of knowledge and trends of development through analyzing the patent documents.

Demonstrating the value of publishing open data by linking DOI-based citations of source datasets to uses in research and policy

NASA Astrophysics Data System (ADS)

Copas, K.; Legind, J. K.; Hahn, A.; Braak, K.; Høftt, M.; Noesgaard, D.; Robertson, T.; Méndez Hernández, F.; Schigel, D.; Ko, C.

2017-12-01

GBIF—the Global Biodiversity Information Facility—has recently demonstrated a system that tracks publications back to individual datasets, giving data providers demonstrable evidence of the benefit and utility of sharing data to support an array of scholarly topics and practical applications. GBIF is an open-data network and research infrastructure funded by the world's governments. Its community consists of more than 90 formal participants and almost 1,000 data-publishing institutions, which currently make tens of thousands of datasets containing nearly 800 million species occurrence records freely and publicly available for discovery, use and reuse across a wide range of biodiversity-related research and policy investigations. Starting in 2015 with the help of DataONE, GBIF introduced DOIs as persistent identifiers for the datasets shared through its network. This enhancement soon extended to the assignment of DOIs to user downloads from GBIF.org, which typically filter the available records with a variety of taxonomic, geographic, temporal and other search terms. Despite the lack of widely accepted standards for citing data among researchers and publications, this technical infrastructure is beginning to take hold and support open, transparent, persistent and repeatable use and reuse of species occurrence data. These `download DOIs' provide canonical references for the search results researchers process and use in peer-reviewed articles—a practice GBIF encourages by confirming new DOIs with each download and offering guidelines on citation. GBIF has recently started linking these citation results back to dataset and publisher pages, offering more consistent, traceable evidence of the value of sharing data to support others' research. GBIF's experience may be a useful model for other repositories to follow.

Frailty effects in networks: comparison and identification of individual heterogeneity versus preferential attachment in evolving networks

PubMed Central

de Blasio, Birgitte Freiesleben; Seierstad, Taral Guldahl; Aalen, Odd O

2011-01-01

Preferential attachment is a proportionate growth process in networks, where nodes receive new links in proportion to their current degree. Preferential attachment is a popular generative mechanism to explain the widespread observation of power-law-distributed networks. An alternative explanation for the phenomenon is a randomly grown network with large individual variation in growth rates among the nodes (frailty). We derive analytically the distribution of individual rates, which will reproduce the connectivity distribution that is obtained from a general preferential attachment process (Yule process), and the structural differences between the two types of graphs are examined by simulations. We present a statistical test to distinguish the two generative mechanisms from each other and we apply the test to both simulated data and two real data sets of scientific citation and sexual partner networks. The findings from the latter analyses argue for frailty effects as an important mechanism underlying the dynamics of complex networks. PMID:21572513

The Dynamics of Power laws: Fitness and Aging in Preferential Attachment Trees

NASA Astrophysics Data System (ADS)

Garavaglia, Alessandro; van der Hofstad, Remco; Woeginger, Gerhard

2017-09-01

Continuous-time branching processes describe the evolution of a population whose individuals generate a random number of children according to a birth process. Such branching processes can be used to understand preferential attachment models in which the birth rates are linear functions. We are motivated by citation networks, where power-law citation counts are observed as well as aging in the citation patterns. To model this, we introduce fitness and age-dependence in these birth processes. The multiplicative fitness moderates the rate at which children are born, while the aging is integrable, so that individuals receives a finite number of children in their lifetime. We show the existence of a limiting degree distribution for such processes. In the preferential attachment case, where fitness and aging are absent, this limiting degree distribution is known to have power-law tails. We show that the limiting degree distribution has exponential tails for bounded fitnesses in the presence of integrable aging, while the power-law tail is restored when integrable aging is combined with fitness with unbounded support with at most exponential tails. In the absence of integrable aging, such processes are explosive.

Beyond basic citation—What to identify, when, and why

NASA Astrophysics Data System (ADS)

Parsons, M. A.

2015-12-01

Persistent identifiers (and locators) have emerged as a critical component in designing and implementing information systems and networks. This is especially evident in the use of the Digital Object Identifier in association with formal bibliographic citation of literature and increasingly of data sets. Indeed, the principles and methods of data citation have been a hot topic in the informatics community over the last decade or so. To date the focus has typically been on closely linking data sets to associated literature and generally emulating bibliographic-style citation. To design a sustainable, trusted data infrastructure, however, requires us to unambiguously reference many things in many ways, be they data, software, instruments, methods, or people. Design of this infrastructure also requires us to consider the entire data lifecycle and when important elements come into play and need to be identified. This paper will advocate an "ecological" model of data sharing that takes a more holistic perspective than many traditional data publication approaches. It will explore a variety of use cases around what elements of an information ecosystem need to be unambiguously identified and located, at what point in the data production process, and to what explicit purpose.

Use of Non-Social Work Journals in Social Work Research: Results of a Citation Analysis

ERIC Educational Resources Information Center

Strothmann, Molly

2010-01-01

Social work research and teaching draw on the literature of other disciplines. While the use of interdisciplinary sources has been discussed at length and citation patterns in social work literature have been studied, no research has identified specific sources from other disciplines that are important for social work scholarship. Based on…

Citing "Whatever" Authority: The Ethics of Quotation in the Work of Giorgio Agamben

ERIC Educational Resources Information Center

Dickinson, Colby

2014-01-01

This article seeks to lay out an analysis of Giorgio Agamben's central claims with regard to the formation of a theory of citationality. By juxtaposing Walter Benjamin's theory of citations alongside his more recent, critical engagements with the Western theological tradition, Agamben sets himself the goal of redefining ethics along…

Citation Behavior of Undergraduate Students: A Study of History, Political Science, and Sociology Papers

ERIC Educational Resources Information Center

Hendley, Michelle

2012-01-01

The goal of this analysis was to obtain local citation behavior data on undergraduates researching history, political science, and sociology papers. The study found that students cited books and journals even with the availability of web sources; however, usage varied by subject. References to specific websites' domains also varied across subject…

Information Use by PhD Students in Agriculture and Biology: A Dissertation Citation Analysis

ERIC Educational Resources Information Center

Kuruppu, Pali U.; Moore, Debra C.

2008-01-01

This article reports the findings of a study conducted to examine the types of information used by graduate students in the fields of biological and agricultural sciences at Iowa State University (ISU). The citations of doctoral dissertations submitted in nine agriculture and biological science subject fields (crop production and physiology;…

Similarity Measures in Scientometric Research: The Jaccard Index versus Salton's Cosine Formula.

ERIC Educational Resources Information Center

Hamers, Lieve; And Others

1989-01-01

Describes two similarity measures used in citation and co-citation analysis--the Jaccard index and Salton's cosine formula--and investigates the relationship between the two measures. It is shown that Salton's formula yields a numerical value that is twice Jaccard's index in most cases, and an explanation is offered. (13 references) (CLB)

Dissertation Citations in Organismal Biology at Southern Illinois University at Carbondale: Implications for Collection Development

ERIC Educational Resources Information Center

Nabe, Jonathan; Imre, Andrea

2008-01-01

We report on a citation analysis of Ph.D. dissertations in plant biology and zoology at Southern Illinois University Carbondale, undertaken to test the common assumption that scientists favor current research to such an extent that journal backfiles can be de-emphasized in academic library collections. Results demonstrate otherwise. The study is…

The International Impact of Education Research Done and Published in South Africa

ERIC Educational Resources Information Center

Wolhuter, Charl

2011-01-01

The aim of this article was to determine the international impact of Education research in South Africa, through a citation analysis of articles published in the "South African Journal of Education" from 2000 to 2010 The citation impact (nationally as well as internationally) was found to be low. The international impact has been…

Highly cited articles in health care sciences and services field in Science Citation Index Expanded. A bibliometric analysis for 1958 - 2012.

PubMed

Hsu, Y-H E; Ho, Y-S

2014-01-01

This study aimed to identify and analyze characteristics of highly cited articles published in the Web of Science category of health care sciences and services from 1958 to 2012. Articles that have been cited at least 100 times were assessed regarding publication outputs, distribution of outputs in journals, publications of authors, institutions, countries as well as citation life cycles of the articles with the highest total citations since its publication up to 2012 and the highest citations in 2012. Six bibliometric indicators were used to evaluate source countries, institutions, and authors. Total citations from the time the articles were first published to the end of 2012 and citations in 2012 only were applied. Additionally, Y-index was applied to evaluate publication characteristics of authors. A high percentage of authors had the same numbers of first author and corresponding author status of highly cited articles in health care sciences and services field. RESULTS showed that 890 of the most highly referenced articles, published between 1977 and 2009, had been cited at least 100 times. Medical Care and Journal of General Internal Medicine published the most highly cited articles. The United States produced 76% of highly cited articles and also published the most number of independent, internationally collaborative, first authored, corresponding authored, and single author highly cited articles. The Harvard University was the most productive institute and was number one for the total highly cited articles, inter-institutionally collaborative articles, single institution articles, first author articles, and corresponding author articles. The application of quantitative techniques in the analysis of highly cited articles can improve the researchers' understanding of the directions in health care sciences and services field. Y-index is useful for the evaluation of contributing authors.

The academic impact of the Triological Society theses--Mosher and Fowler awards: citations, impact factor, and h-index.

PubMed

Badran, Karam W; Lahham, Sari; Mahboubi, Hossein; Crumley, Roger L; Wong, Brian J F

2013-11-01

The Triological Society requires thesis submission for full membership. Accepted theses (AT) may be recognized with designations of: Mosher Awards (MA), Fowler Awards (FA), Honorable Mention for Basic Science (HMBS), and Honorable Mention for Clinical Science (HMCS). We sought to determine and compare the scholarly impact of Triological Society theses, their authors, and whether differences exist between AT and those that receive special recognition. Retrospective analysis of awards and theses compiled by The Triological Society home office from 1998 to 2011. Thomson Reuters' Integrated Search Interface (ISI) Web of Knowledge and Google Scholar and were used to determine citations and the author's h-index. Trend and statistical analysis was performed. Of the 307 Triological Society theses examined, 275 were published and had record of citation. H-indices and number of citations were found to be nonparametric; thus, median and quartile (1(st) -3(rd) quartiles) values were found to be the following: AT 11 (4-26), MA 18 (9-25), FA 6 (1-28), HMBS 11 (4-26), and HMCS 16 (1-28) for number of citations per published thesis. H-indices of authors with accepted theses were AT 15 (10-19), MA 16 (15-23), FA 18 (10-23), HMBS 16 (11-19), and HMCS 15 (11-21). When comparing all groupings of theses and award winners with bibliometric indices, no statistical significance was found (P >0.5). The Triological Society cultivates a competitive pool of applicants as membership is highly regarded. Negligible difference in citations and author h-index were observed between AT, MA, and FA theses indicated that the level of excellence is uniform, and thesis submission remains influential and prestigious. Copyright © 2013 The American Laryngological, Rhinological and Otological Society, Inc.

The influence of social networking sites on health behavior change: a systematic review and meta-analysis

PubMed Central

Laranjo, Liliana; Arguel, Amaël; Neves, Ana L; Gallagher, Aideen M; Kaplan, Ruth; Mortimer, Nathan; Mendes, Guilherme A; Lau, Annie Y S

2015-01-01

Objective Our aim was to evaluate the use and effectiveness of interventions using social networking sites (SNSs) to change health behaviors. Materials and methods Five databases were scanned using a predefined search strategy. Studies were included if they focused on patients/consumers, involved an SNS intervention, had an outcome related to health behavior change, and were prospective. Studies were screened by independent investigators, and assessed using Cochrane's ‘risk of bias’ tool. Randomized controlled trials were pooled in a meta-analysis. Results The database search retrieved 4656 citations; 12 studies (7411 participants) met the inclusion criteria. Facebook was the most utilized SNS, followed by health-specific SNSs, and Twitter. Eight randomized controlled trials were combined in a meta-analysis. A positive effect of SNS interventions on health behavior outcomes was found (Hedges’ g 0.24; 95% CI 0.04 to 0.43). There was considerable heterogeneity (I2 = 84.0%; T2 = 0.058) and no evidence of publication bias. Discussion To the best of our knowledge, this is the first meta-analysis evaluating the effectiveness of SNS interventions in changing health-related behaviors. Most studies evaluated multi-component interventions, posing problems in isolating the specific effect of the SNS. Health behavior change theories were seldom mentioned in the included articles, but two particularly innovative studies used ‘network alteration’, showing a positive effect. Overall, SNS interventions appeared to be effective in promoting changes in health-related behaviors, and further research regarding the application of these promising tools is warranted. Conclusions Our study showed a positive effect of SNS interventions on health behavior-related outcomes, but there was considerable heterogeneity. Protocol registration The protocol for this systematic review is registered at http://www.crd.york.ac.uk/PROSPERO with the number CRD42013004140. PMID:25005606

Power-law weighted networks from local attachments

NASA Astrophysics Data System (ADS)

Moriano, P.; Finke, J.

2012-07-01

This letter introduces a mechanism for constructing, through a process of distributed decision-making, substrates for the study of collective dynamics on extended power-law weighted networks with both a desired scaling exponent and a fixed clustering coefficient. The analytical results show that the connectivity distribution converges to the scaling behavior often found in social and engineering systems. To illustrate the approach of the proposed framework we generate network substrates that resemble steady state properties of the empirical citation distributions of i) publications indexed by the Institute for Scientific Information from 1981 to 1997; ii) patents granted by the U.S. Patent and Trademark Office from 1975 to 1999; and iii) opinions written by the Supreme Court and the cases they cite from 1754 to 2002.

Measuring discursive influence across scholarship.

PubMed

Gerow, Aaron; Hu, Yuening; Boyd-Graber, Jordan; Blei, David M; Evans, James A

2018-03-27

Assessing scholarly influence is critical for understanding the collective system of scholarship and the history of academic inquiry. Influence is multifaceted, and citations reveal only part of it. Citation counts exhibit preferential attachment and follow a rigid "news cycle" that can miss sustained and indirect forms of influence. Building on dynamic topic models that track distributional shifts in discourse over time, we introduce a variant that incorporates features, such as authorship, affiliation, and publication venue, to assess how these contexts interact with content to shape future scholarship. We perform in-depth analyses on collections of physics research (500,000 abstracts; 102 years) and scholarship generally (JSTOR repository: 2 million full-text articles; 130 years). Our measure of document influence helps predict citations and shows how outcomes, such as winning a Nobel Prize or affiliation with a highly ranked institution, boost influence. Analysis of citations alongside discursive influence reveals that citations tend to credit authors who persist in their fields over time and discount credit for works that are influential over many topics or are "ahead of their time." In this way, our measures provide a way to acknowledge diverse contributions that take longer and travel farther to achieve scholarly appreciation, enabling us to correct citation biases and enhance sensitivity to the full spectrum of scholarly impact. Copyright © 2018 the Author(s). Published by PNAS.

Measuring discursive influence across scholarship

PubMed Central

Gerow, Aaron; Hu, Yuening; Boyd-Graber, Jordan; Blei, David M.

2018-01-01

Assessing scholarly influence is critical for understanding the collective system of scholarship and the history of academic inquiry. Influence is multifaceted, and citations reveal only part of it. Citation counts exhibit preferential attachment and follow a rigid “news cycle” that can miss sustained and indirect forms of influence. Building on dynamic topic models that track distributional shifts in discourse over time, we introduce a variant that incorporates features, such as authorship, affiliation, and publication venue, to assess how these contexts interact with content to shape future scholarship. We perform in-depth analyses on collections of physics research (500,000 abstracts; 102 years) and scholarship generally (JSTOR repository: 2 million full-text articles; 130 years). Our measure of document influence helps predict citations and shows how outcomes, such as winning a Nobel Prize or affiliation with a highly ranked institution, boost influence. Analysis of citations alongside discursive influence reveals that citations tend to credit authors who persist in their fields over time and discount credit for works that are influential over many topics or are “ahead of their time.” In this way, our measures provide a way to acknowledge diverse contributions that take longer and travel farther to achieve scholarly appreciation, enabling us to correct citation biases and enhance sensitivity to the full spectrum of scholarly impact. PMID:29531061

[Archivos de Bronconeumología: among the 3 Spanish medical journals with the highest national impact factors].

PubMed

Aleixandre Benavent, R; Valderrama Zurián, J C; Castellano Gómez, M; Simó Meléndez, R; Navarro Molina, C

2004-12-01

Citation analysis elucidates patterns of information consumption within professional communities. The aim of this study was to analyze the citations of 87 Spanish medical journals by calculating their impact factors and immediacy indices for 2001, and to estimate the importance of Archivos de Bronconeumología within the framework of Spanish medicine. Eighty-seven Spanish medical journals were included. All were listed in the Spanish Medical Index (Indice Medico Español) and in at least one of the following databases: MEDLINE, BIOSIS, EMBASE, or Science Citation Index. References to articles from 1999 through 2001 in citable articles from 2001 were analyzed. Using the method of the Institute for Scientific Information, we calculated the national impact factor and immediacy index for each journal. The journals with the highest national impact factors were Revista Española de Quimioterapia (0.894), Medicina Clínica (0.89), and Archivos de Bronconeumología (0.732). The self-citation percentage of Archivos de Bronconeumología was 18.3% and the immediacy index was 0.033. The impact factor obtained by Archivos de Bronconeumología confirms its importance in Spanish medicine and validates its inclusion as a source journal in Science Citation Index and Journal Citation Report.

Texting and accessing the web while driving: traffic citations and crashes among young adult drivers.

PubMed

Cook, Jerry L; Jones, Randall M

2011-12-01

We examined relations between young adult texting and accessing the web while driving with driving outcomes (viz. crashes and traffic citations). Our premise is that engaging in texting and accessing the web while driving is not only distracting but that these activities represent a pattern of behavior that leads to an increase in unwanted outcomes, such as crashes and citations. College students (N = 274) on 3 campuses (one in California and 2 in Utah) completed an electronic questionnaire regarding their driving experience and cell phone use. Our data indicate that 3 out of 4 (74.3%) young adults engage in texting while driving, over half on a weekly basis (51.8%), and some engage in accessing the web while driving (16.8%). Data analysis revealed a relationship between these cell phone behaviors and traffic citations and crashes. The findings support Jessor and Jessor's (1977) "problem behavior syndrome" by showing that traffic citations are related to texting and accessing the web while driving and that crashes are related to accessing the web while driving. Limitations and recommendations are discussed.

Do health technology assessments comply with QUOROM diagram guidance? An empirical study.

PubMed

Hind, Daniel; Booth, Andrew

2007-11-20

The Quality of Reporting of Meta-analyses (QUOROM) statement provides guidance for improving the quality of reporting of systematic reviews and meta-analyses. To make the process of study selection transparent it recommends "a flow diagram providing information about the number of RCTs identified, included, and excluded and the reasons for excluding them". We undertook an empirical study to identify the extent of compliance in the UK Health Technology Assessment (HTA) programme. We searched Medline to retrieve all systematic reviews of therapeutic interventions in the HTA monograph series published from 2001 to 2005. Two researchers recorded whether each study contained a meta-analysis of controlled trials, whether a QUOROM flow diagram was presented and, if so, whether it expressed the relationship between the number of citations and the number of studies. We used Cohen's kappa to test inter-rater reliability. 87 systematic reviews were retrieved. There was good and excellent inter-rater reliability for, respectively, whether a review contained a meta-analysis and whether each diagram contained a citation-to-study relationship. 49% of systematic reviews used a study selection flow diagram. When only systematic reviews containing a meta-analysis were analysed, compliance was only 32%. Only 20 studies (23% of all systematic reviews; 43% of those having a study selection diagram) had a diagram which expressed the relationship between citations and studies. Compliance with the recommendations of the QUOROM statement is not universal in systematic reviews or meta-analyses. Flow diagrams make the conduct of study selection transparent only if the relationship between citations and studies is clearly expressed. Reviewers should understand what they are counting: citations, papers, studies and trials are fundamentally different concepts which should not be confused in a diagram.

The NASA Astrophysics Data System joins the Revolution

NASA Astrophysics Data System (ADS)

Accomazzi, Alberto; Kurtz, Michael J.; Henneken, Edwin; Grant, Carolyn S.; Thompson, Donna M.; Chyla, Roman; Holachek, Alexandra; Sudilovsky, Vladimir; Elliott, Jonathan; Murray, Stephen S.

2015-08-01

Whether or not scholarly publications are going through an evolution or revolution, one comforting certainty remains: the NASA Astrophysics Data System (ADS) is here to help the working astronomer and librarian navigate through the increasingly complex communication environment we find ourselves in. Born as a bibliographic database, today's ADS is best described as a an "aggregator" of scholarly resources relevant to the needs of researchers in astronomy and physics. In addition to indexing content from a variety of publishers, data and software archives, the ADS enriches its records by text-mining and indexing the full-text articles, enriching its metadata through the extraction of citations and acknowledgments and the ingest of bibliographies and data links maintained by astronomy institutions and data archives. In addition, ADS generates and maintains citation and co-readership networks to support discovery and bibliometric analysis.In this talk I will summarize new and ongoing curation activities and technology developments of the ADS in the face of the ever-changing world of scholarly publishing and the trends in information-sharing behavior of astronomers. Recent curation efforts include the indexing of non-standard scholarly content (such as software packages, IVOA documents and standards, and NASA award proposals); the indexing of additional content (full-text of articles, acknowledgments, affiliations, ORCID ids); and enhanced support for bibliographic groups and data links. Recent technology developments include a new Application Programming Interface which provides access to a variety of ADS microservices, a new user interface featuring a variety of visualizations and bibliometric analysis, and integration with ORCID services to support paper claiming.

And, not or: Quality, quantity in scientific publishing

PubMed Central

Allesina, Stefano

2017-01-01

Scientists often perceive a trade-off between quantity and quality in scientific publishing: finite amounts of time and effort can be spent to produce few high-quality papers or subdivided to produce many papers of lower quality. Despite this perception, previous studies have indicated the opposite relationship, in which productivity (publishing more papers) is associated with increased paper quality (usually measured by citation accumulation). We examine this question in a novel way, comparing members of the National Academy of Sciences with themselves across years, and using a much larger dataset than previously analyzed. We find that a member’s most highly cited paper in a given year has more citations in more productive years than in in less productive years. Their lowest cited paper each year, on the other hand, has fewer citations in more productive years. To disentangle the effect of the underlying distributions of citations and productivities, we repeat the analysis for hypothetical publication records generated by scrambling each author’s citation counts among their publications. Surprisingly, these artificial histories re-create the above trends almost exactly. Put another way, the observed positive relationship between quantity and quality can be interpreted as a consequence of randomly drawing citation counts for each publication: more productive years yield higher-cited papers because they have more chances to draw a large value. This suggests that citation counts, and the rewards that have come to be associated with them, may be more stochastic than previously appreciated. PMID:28570567

[Analysis of the citation of the articles published in National Journal of Andrology by SCI periodicals from 2002 to 2008].

PubMed

Huang, Hai

2009-03-01

Science Citation Index (SCI) is one of the world's most important and influential information retrieval systems. Today Web of Science covers over 9000 international and regional journals and book series in every field of natural sciences, social sciences, and arts and humanities. More and more Chinese periodicals have been cited by SCI. This paper briefly introduces the SCI database and its selection process and analyzes the citation of the articles published in National Journal of Andrology (NJA) by SCI journals from 2002 to 2008, aiming to provide some information for the internationalization of NJA.

Assessing Influence on the Field: An Analysis of Citations to "Educational Administration Quarterly," 1979-2003

ERIC Educational Resources Information Center

Haas, Eric; Wilson, Glen Yahola; Cobb, Casey D.; Hyle, Adrienne E.; Jordan, Kitty; Kearney, Kerri S.

2007-01-01

Study Purpose: This article examines the influence of "Educational Administration Quarterly (EAQ)" on the scholarly literature in education during the 25-year period 1979 to 2003. This article continues part of the first critique of EAQ conducted by Roald Campbell in 1979. Study Methods: Two citation measures are used in this study to assess EAQ…

Analyzing Citation and Research Collaboration Characteristics of Faculty in Aerospace, Civil and Environmental, Electrical and Computer, and Mechanical Engineering

ERIC Educational Resources Information Center

Zhang, Li

2018-01-01

This article investigates citation and research collaboration habits of faculty in four engineering departments. The analysis focuses on similarities and differences among the engineering disciplines. Main differences exist in the use of conference papers and technical reports. The age of cited materials varies by discipline and by format.…

The Emerging Engineering Scholar: A Citation Analysis of Theses and Dissertations at Western Michigan University

ERIC Educational Resources Information Center

Eckel, Edward J.

2009-01-01

Can one glimpse the development of emerging scholars in the work of engineering graduate students? To answer this question, the author studied the citation patterns in 96 Master's theses and 24 Ph.D. dissertations completed at Western Michigan University's College of Engineering and Applied Sciences between 2002 and 2006. The hypothesis of this…

Citation analysis of mental health nursing journals: how should we rank thee?

PubMed

Hunt, Glenn E; Happell, Brenda; Chan, Sally W-C; Cleary, Michelle

2012-12-01

The journal impact factor (JIF), and how best to rate the performance of a journal and the articles they contain, are areas of great debate. The aim of this paper was to assess various ranking methods of journal quality for mental health nursing journals, and to list the top 10 articles that have received the most number of citations to date. Seven mental health nursing journals were chosen for the analysis of citations they received in 2010, as well as their current impact factors from two sources, and other data for ranking purposes. There was very little difference in the top four mental health nursing journals and their overall rankings when combining various bibliometric indicators. That said, the International Journal of Mental Health Nursing is currently the highest ranked mental health nursing journal based on JIF, but publishes fewer articles per year compared to other journals. Overall, very few articles received 50 or more citations. This study shows that researchers need to consider more than one ranking method when deciding where to send or publish their research. © 2012 The Authors. International Journal of Mental Health Nursing © 2012 Australian College of Mental Health Nurses Inc.

Mapping the literature of medical-surgical nursing.

PubMed

Taylor, Mary K

2006-04-01

Medical-surgical or adult health nursing is a complex specialty that requires a wide-ranging literature to inform its research and practice. Several excellent qualitative aids exist for collection development for this field, but quantitative studies are few. While one bibliometric study of journals exists, no recent work had been done in this area. The Mapping the Literature of Nursing Project protocol was used. Four source journals were selected, and a citation analysis of articles from 1996 to 1998 was conducted. A list of the most frequently cited journals was created, using Bradford's Law of Scattering. The list demonstrates that 1.2% of the cited medical-surgical nursing journals produced just over 33% of the citations. PubMed/MEDLINE, CINAHL, and Science Citation Index provided the most complete indexing coverage of all of the journals, with CINAHL providing the most complete coverage of nursing journals. Books were the second-most cited format. Citation analysis of journal articles is a useful aid for selecting journals for medical-surgical nursing collections, but it did not prove to be as useful for selecting materials in other formats. Indexes in addition to PubMed/MEDLINE are necessary to provide access to the journal literature serving this specialty.

Citations and the h index of soil researchers and journals in the Web of Science, Scopus, and Google Scholar

PubMed Central

Hartemink, Alfred E.; McBratney, Alex; Jang, Ho-Jun

2013-01-01

Citation metrics and h indices differ using different bibliometric databases. We compiled the number of publications, number of citations, h index and year since the first publication from 340 soil researchers from all over the world. On average, Google Scholar has the highest h index, number of publications and citations per researcher, and the Web of Science the lowest. The number of papers in Google Scholar is on average 2.3 times higher and the number of citations is 1.9 times higher compared to the data in the Web of Science. Scopus metrics are slightly higher than that of the Web of Science. The h index in Google Scholar is on average 1.4 times larger than Web of Science, and the h index in Scopus is on average 1.1 times larger than Web of Science. Over time, the metrics increase in all three databases but fastest in Google Scholar. The h index of an individual soil scientist is about 0.7 times the number of years since his/her first publication. There is a large difference between the number of citations, number of publications and the h index using the three databases. From this analysis it can be concluded that the choice of the database affects widely-used citation and evaluation metrics but that bibliometric transfer functions exist to relate the metrics from these three databases. We also investigated the relationship between journal’s impact factor and Google Scholar’s h5-index. The h5-index is a better measure of a journal’s citation than the 2 or 5 year window impact factor. PMID:24167778

Citations and the h index of soil researchers and journals in the Web of Science, Scopus, and Google Scholar.

PubMed

Minasny, Budiman; Hartemink, Alfred E; McBratney, Alex; Jang, Ho-Jun

2013-01-01

Citation metrics and h indices differ using different bibliometric databases. We compiled the number of publications, number of citations, h index and year since the first publication from 340 soil researchers from all over the world. On average, Google Scholar has the highest h index, number of publications and citations per researcher, and the Web of Science the lowest. The number of papers in Google Scholar is on average 2.3 times higher and the number of citations is 1.9 times higher compared to the data in the Web of Science. Scopus metrics are slightly higher than that of the Web of Science. The h index in Google Scholar is on average 1.4 times larger than Web of Science, and the h index in Scopus is on average 1.1 times larger than Web of Science. Over time, the metrics increase in all three databases but fastest in Google Scholar. The h index of an individual soil scientist is about 0.7 times the number of years since his/her first publication. There is a large difference between the number of citations, number of publications and the h index using the three databases. From this analysis it can be concluded that the choice of the database affects widely-used citation and evaluation metrics but that bibliometric transfer functions exist to relate the metrics from these three databases. We also investigated the relationship between journal's impact factor and Google Scholar's h5-index. The h5-index is a better measure of a journal's citation than the 2 or 5 year window impact factor.

Bibliometric Analysis of Manuscript Characteristics That Influence Citations: A Comparison of Six Major Radiology Journals.

PubMed

Shekhani, Haris Naseem; Shariff, Shoaib; Bhulani, Nizar; Khosa, Faisal; Hanna, Tarek Noel

2017-12-01

The objective of our study was to investigate radiology manuscript characteristics that influence citation rate, capturing features of manuscript construction that are discrete from study design. Consecutive articles published from January 2004 to June 2004 were collected from the six major radiology journals with the highest impact factors: Radiology (impact factor, 5.076), Investigative Radiology (2.320), American Journal of Neuroradiology (AJNR) (2.384), RadioGraphics (2.494), European Radiology (2.364), and American Journal of Roentgenology (2.406). The citation count for these articles was retrieved from the Web of Science, and 29 article characteristics were tabulated manually. A point-biserial correlation, Spearman rank-order correlation, and multiple regression model were performed to predict citation number from the collected variables. A total of 703 articles-211 published in Radiology, 48 in Investigative Radiology, 106 in AJNR, 52 in RadioGraphics, 129 in European Radiology, and 157 in AJR-were evaluated. Punctuation was included in the title in 55% of the articles and had the highest statistically significant positive correlation to citation rate (point-biserial correlation coefficient [r pb ] = 0.85, p < 0.05). Open access status provided a low-magnitude, but significant, correlation to citation rate (r pb = 0.140, p < 0.001). The following variables created a significant multiple regression model to predict citation count (p < 0.005, R 2 = 0.186): study findings in the title, abstract word count, abstract character count, total number of words, country of origin, and all authors in the field of radiology. Using bibliometric knowledge, authors can craft a title, abstract, and text that may enhance visibility and citation count over what they would otherwise experience.

Dissemination of research into clinical nursing literature.

PubMed

Oermann, Marilyn H; Shaw-Kokot, Julia; Knafl, George J; Dowell, Jo

2010-12-01

The purpose of our study was to describe the dissemination of research into the clinical nursing literature. The literature provides a means of transferring knowledge from a research study through citations of the work by other authors. This was a citation analysis study to explore the dissemination of research into the clinical nursing literature, beginning with the publication of an original research study and including all of the citations to that article through 2009. The authors searched five academic nursing research journal titles, using CINAHL, for original research reports that had clinical relevance and were published between 1990-1999. The search process yielded a final data set of 28 research articles. For each of the articles, the authors searched three databases, CINAHL, Web of Science(®) and Google Scholar, to determine the citation patterns from the date of publication to August 2009. All of the research studies were cited in articles published in clinical journals although there was a wide range in the number of citations, from 3-80. The 28 research articles had a total of 759 citations; 717 (94.5%) of those citations were in articles published in clinical nursing journals. The median length of time between publication of the original study and the first citation was 1.5 years. Some of the studies were still being cited for 18 years after publication of the original work. All of the original research reports examined in this study were cited in articles in clinical journals, disseminating the research beyond the original work to reach clinicians. Clinical nursing journals keep readers up-to-date and informed about new practices in nursing and serve another important role: they disseminate research that is clinically relevant by publishing original studies and papers that cite research reports. © 2010 Blackwell Publishing Ltd.

50 years of Arabidopsis research: highlights and future directions

DOE PAGES

Provart, Nicholas J.; Alonso, Jose; Assmann, Sarah M.; ...

2015-10-14

The year 2014 marked the 25 th International Conference on Arabidopsis Research. In the 50 yr since the first International Conference on Arabidopsis Research, held in 1965 in Göttingen, Germany, > 54 000 papers that mention Arabidopsis thaliana in the title, abstract or keywords have been published. In this paper, we present herein a citational network analysis of these papers, and touch on some of the important discoveries in plant biology that have been made in this powerful model system, and highlight how these discoveries have then had an impact in crop species. We also look to the future, highlightingmore » some outstanding questions that can be readily addressed in Arabidopsis. Topics that are discussed include Arabidopsis reverse genetic resources, stock centers, databases and online tools, cell biology, development, hormones, plant immunity, signaling in response to abiotic stress, transporters, biosynthesis of cells walls and macromolecules such as starch and lipids, epigenetics and epigenomics, genome-wide association studies and natural variation, gene regulatory networks, modeling and systems biology, and synthetic biology.« less

50 years of Arabidopsis research: highlights and future directions

DOE Office of Scientific and Technical Information (OSTI.GOV)

Provart, Nicholas J.; Alonso, Jose; Assmann, Sarah M.

The year 2014 marked the 25 th International Conference on Arabidopsis Research. In the 50 yr since the first International Conference on Arabidopsis Research, held in 1965 in Göttingen, Germany, > 54 000 papers that mention Arabidopsis thaliana in the title, abstract or keywords have been published. In this paper, we present herein a citational network analysis of these papers, and touch on some of the important discoveries in plant biology that have been made in this powerful model system, and highlight how these discoveries have then had an impact in crop species. We also look to the future, highlightingmore » some outstanding questions that can be readily addressed in Arabidopsis. Topics that are discussed include Arabidopsis reverse genetic resources, stock centers, databases and online tools, cell biology, development, hormones, plant immunity, signaling in response to abiotic stress, transporters, biosynthesis of cells walls and macromolecules such as starch and lipids, epigenetics and epigenomics, genome-wide association studies and natural variation, gene regulatory networks, modeling and systems biology, and synthetic biology.« less

Nanotechnology publications and citations by leading countries and blocs

NASA Astrophysics Data System (ADS)

Youtie, Jan; Shapira, Philip; Porter, Alan L.

2008-08-01

This article examines the relative positions with respect to nanotechnology research publications of the European Union (EU), the United States (US), Japan, Germany, China, and three Asian Tiger nations (South Korea, Singapore, and Taiwan). The analysis uses a dataset of nanotechnology publication records for the time period 1990 through 2006 (part year) extracted from the Science Citation Index obtained through the Web of Science and was developed through a two-stage modularized Boolean approach. The results show that although the EU and the US have the highest number of nanotechnology publications, China and other Asian countries are increasing their publications rapidly, taking an ever-larger proportion of the total. When viewed in terms of the quality-based measure of citations, Asian nanotechnology researchers also show growth in recent years. However, by such citation measures, the US still maintains a strongly dominant position, followed by the EU.

The 100 most-cited articles in neuroimaging: A bibliometric analysis.

PubMed

Kim, Hye Jeong; Yoon, Dae Young; Kim, Eun Soo; Lee, Kwanseop; Bae, Jong Seok; Lee, Ju-Hun

2016-10-01

The purpose of our study was to identify and characterize the 100 most-cited articles in neuroimaging. Based on the database of Journal Citation Reports, we selected 669 journals that were considered as potential outlets for neuroimaging articles. The Web of Science search tools were used to identify the 100 most-cited articles relevant to neuroimaging within the selected journals. The following information was recorded for each article: publication year, journal, category and impact factor of journal, number of citations, number of annual citations, authorship, department, institution, country, article type, imaging technique used, and topic. The 100 most-cited articles in neuroimaging were published between 1980 and 2012, with 1995-2004 producing 69 articles. Citations ranged from 4384 to 673 and annual citations ranged from 313.1 to 24.9. The majority of articles were published in radiology/imaging journals (n=75), originated in the United States (n=58), were original articles (n=63), used MRI as imaging modality (n=85), and dealt with imaging technique (n=45). The Oxford Centre for Functional Magnetic Resonance Imaging of the Brain at John Radcliffe Hospital (n=10) was the leading institutions and Karl J. Friston (n=11) was the most prolific author. Our study presents a detailed list and an analysis of the 100 most-cited articles in the field of neuroimaging, which provides an insight into historical developments and allows for recognition of the important advances in this field. Copyright © 2016 Elsevier Inc. All rights reserved.

Software and the Scientist: Coding and Citation Practices in Geodynamics

NASA Astrophysics Data System (ADS)

Hwang, Lorraine; Fish, Allison; Soito, Laura; Smith, MacKenzie; Kellogg, Louise H.

2017-11-01

In geodynamics as in other scientific areas, computation has become a core component of research, complementing field observation, laboratory analysis, experiment, and theory. Computational tools for data analysis, mapping, visualization, modeling, and simulation are essential for all aspects of the scientific workflow. Specialized scientific software is often developed by geodynamicists for their own use, and this effort represents a distinctive intellectual contribution. Drawing on a geodynamics community that focuses on developing and disseminating scientific software, we assess the current practices of software development and attribution, as well as attitudes about the need and best practices for software citation. We analyzed publications by participants in the Computational Infrastructure for Geodynamics and conducted mixed method surveys of the solid earth geophysics community. From this we learned that coding skills are typically learned informally. Participants considered good code as trusted, reusable, readable, and not overly complex and considered a good coder as one that participates in the community in an open and reasonable manor contributing to both long- and short-term community projects. Participants strongly supported citing software reflected by the high rate a software package was named in the literature and the high rate of citations in the references. However, lacking are clear instructions from developers on how to cite and education of users on what to cite. In addition, citations did not always lead to discoverability of the resource. A unique identifier to the software package itself, community education, and citation tools would contribute to better attribution practices.

Predictors of article impact in suicidology: the bereavement literature, a research note.

PubMed

Andriessen, Karl; Krysinska, Karolina; Stack, Steven

2015-02-01

Citation analysis has been neglected in suicidology. The present note applies a mixed-methods approach to both test and suggest hypotheses for the variation in article impact in the bereavement literature. One hundred three articles from three core suicidology journals met the criteria for inclusion in the investigation. Citations to the articles were obtained from the Web of Science. Predictor variables included structural characteristics of the author (e.g., gender) and the article itself (e.g., years since publication). A multivariate regression analysis determined that, controlling for the other variables, the most important predictor of citations was the review article (β = .461), followed by year of publication (β = -.414), the multiauthored article (β = .302), publication in Suicide and Life-Threatening Behavior (SLTB) (β = .161), and male gender (β = .156). The 12 most cited articles were published between 1979 and 2004 in SLTB. The majority of these papers was written by males, were U.S. authors, and had more than one author. Four of the most cited articles were reviews. The study concludes that structural characteristics of articles and authors explained 41% of the variance in citations. The qualitative analysis determined that review papers, and papers on characteristics of suicide bereavement and psychological autopsies have been most frequently cited. Replication studies are needed for other subfields of suicidology. © 2014 The American Association of Suicidology.

Mapping the general literature of American nursing

PubMed Central

Allen, Margaret (Peg); Levy, June R.

2006-01-01

Objectives: As part of a project to map the literature of nursing, sponsored by the Nursing and Allied Health Resources Section of the Medical Library Association, this study identifies core journals cited by general or “popular” US nursing journals and the indexing services that cover the cited journals. Methods: Three journals were selected for analysis: American Journal of Nursing, Nursing 96–98, and RN. The source journals were subjected to a citation analysis of articles from 1996 to 1998, followed by an analysis of database access to the most frequently cited journal titles. Results: Cited formats included journals (63.7%), books (26.6%), government documents (3.0%), Internet (0.5%), and miscellaneous (6.2%). Cited references were relatively current; most (86.6%) were published in the current decade. One-third of the citations were found in a core of 24 journal titles; one-third were dispersed among a middle zone of 94 titles; and the remaining third were scattered in a larger zone of 694 titles. Indexing coverage for the core titles was most comprehensive in PubMed/MEDLINE, followed by CINAHL and Science Citation Index. Conclusions: Results support the popular (not scholarly) nature of these titles. While not a good source for original research, they fulfill a key role of disseminating nursing knowledge with their relevantly current citations to a broad variety of sources. PMID:16710462

The Structure of Medical Informatics Journal Literature

PubMed Central

Morris, Theodore A.; McCain, Katherine W.

1998-01-01

Abstract Objective: Medical informatics is an emergent interdisciplinary field described as drawing upon and contributing to both the health sciences and information sciences. The authors elucidate the disciplinary nature and internal structure of the field. Design: To better understand the field's disciplinary nature, the authors examine the intercitation relationships of its journal literature. To determine its internal structure, they examined its journal cocitation patterns. Measurements: The authors used data from the Science Citation Index (SCI) and Social Science Citation Index (SSCI) to perform intercitation studies among productive journal titles, and software routines from SPSS to perform multivariate data analyses on cocitation data for proposed core journals. Results: Intercitation network analysis suggests that a core literature exists, one mark of a separate discipline. Multivariate analyses of cocitation data suggest that major focus areas within the field include biomedical engineering, biomedical computing, decision support, and education. The interpretable dimensions of multidimensional scaling maps differed for the SCI and SSCI data sets. Strong links to information science literature were not found. Conclusion: The authors saw indications of a core literature and of several major research fronts. The field appears to be viewed differently by authors writing in journals indexed by SCI from those writing in journals indexed by SSCI, with more emphasis placed on computers and engineering versus decision making by the former and more emphasis on theory versus application (clinical practice) by the latter. PMID:9760393

[Productivity, visibility and citation analysis of the Revista Peruana de Medicina Experimental y Salud Pública, 2002-2009].

PubMed

Huamaní, Charles

2010-09-01

Biomedical journals are the most used and important venue to disseminate and interchange scientific information, and evaluation is an important component. A bibliometric study was conducted on the productivity, visibility and citation analysis of the Revista Peruana de Medicina Experimental y Salud Pública (RPMESP), from 2002 to 2009. During this period, the RPMESP published about 62 documents per year, 55.3% were research articles. The visibility of RPMESP, determined among three databases (SISBIB-UNMSM, SciELO-Peru, and REDALYC), was irregular, increasing on July 2006, with the highest access on October 2009 (117,618 hits). 43.0% of publications were cited. The calculated impact factor in ISI journals was 0.04 in 2009. In conclusion, the citation of RPMESP shows a slowly growing during the period 2002-2009. It is hoped that the RPMESP increase its visibility and impact after its inclusion in MEDLINE.

Citation analysis of Acta Dermatovenerologica Alpina, Pannonica et Adriatica: 1992-2011.

PubMed

Ostrbenk, Anja; Skamperle, Mateja; Poljak, Mario

2012-09-01

Acta Dermatovenerologica Alpina, Pannonica et Adriatica is small regional professional journal that started publishing in 1992. Despite the journal's relatively narrow readership, it has significantly improved its quality and global profile during the last 20 years, as shown in this citation analysis update. Since 1992, 654 bibliographical items have been published. Among these, 545 (83.4%) were considered WoS citable items and 109 (16.6%) WoS noncitable items. Since 2008, 90% of all published items have been considered WoS citable items and received an average of 1.9 citations per item. The predicted Acta Dermatovenerol APA impact factor calculated using data from a Cited Reference search of Thomson Scientific's Web of Science has shown steep and continuous increase since 2006, when the journal acquired full indexing status in Index Medicus/Medline, and has been above 0.5 since 2008.

Exploring the Top-Cited and Most Influential Articles in Medical Education.

PubMed

Azer, Samy A

2016-01-01

The citations received by a scientific publication have been used as a proxy measurement of scientific quality and in ranking researchers. Although these practices have been observed in several institutes, careful assessment of top-cited articles may provide more insight into exploring their characteristics. The aim of this study was to analyze the top-cited articles in medical education identified by Azer 2015 and explore the characteristics of these articles that can provide insight into their assessment. The most frequently cited articles identified by searching the Web of Science under the category "Education, Scientific Discipline" were included in the analysis. The following issues were further analyzed: 1) comparing the mean yearly citations received by articles published before the year 2000 and those published after, 2) assessing whether there was a correlation between the number of grants, number of authors, number of institutes, or number of countries involved and the number of citations received, 3) assessing the number of female representation in authorship, 4) assessing the representation of none-medical staff in the authorship, and 5) exploring any association between top authors identified and those who were awarded the Karolinska Institutet Prize for research in medical education. Although there was no correlation between the number of citations and the number of years since publications, the mean number of citations received by articles published before the year 2000 varied from zero to 18.2 ± 16.6, whereas for those published after the year 2000 the mean varied from 2.0 ± 2.1 to 35.3 ± 26.8. No correlation was found between the number of citations obtained and number of grants, number of authors, number of institutes, or number of countries involved. Females comprised 50% of the total number of authors. However, no correlation was found between the number of females in authorship and the number of citations obtained. Similarly, the number of authors with non-medical degrees did not correlate with the number of citations obtained. An association was found between authoring more than one article in the list and receiving the Karolinska Institutet Prize for research in medical education. The analysis shows that the higher number of citations received are not necessarily related to funding, working collaboratively with a big team from several institutes or from several countries. The finding that authors of more than one top-cited article received the Karolinska Institutet Prize for research in medical education indicates that this could be a parameter in selecting the candidates for the award.

The impact of the 2007 graduated driver licensing law in Massachusetts on the rate of citations and licensing in teenage drivers.

PubMed

DePesa, Christopher; Raybould, Toby; Hurwitz, Shelley; Lee, Jarone; Gervasini, Alice; Velmahos, George C; Masiakos, Peter T; Kaafarani, Haytham M A

2017-06-01

We recently demonstrated that the 2007 Massachusetts Graduated Driving Licensing (GDL) law decreased the rate of motor vehicle crashes in teenage drivers. To better understand this decrease, we sought to examine the law's impact on the issuance of driving licenses and traffic citations to teenage drivers. Citation and license data were obtained from the Massachusetts Department of Transportation. Census data were obtained from the Census Data Center. Two study periods were defined: pre-GDL (2002-2006) and post-GDL (2007-2012). Two populations were defined: the study population (aged 16-17) and the control population (aged 25-29). The rates of licenses per population were compared pre- vs. post-GDL for the study group. The numbers of total, state, and local citations per population were compared pre- vs. post-GDL for both populations. A sensitivity analysis was performed for the rates of citations using licenses issued as a denominator. While licenses per population obtained by the study group decreased over the entire period, there was no change in the rate of decrease per year pre- vs. post-GDL (2.0% vs. 1.4%; p=0.6392). In the study population, total, state, and local citations decreased post-GDL (17.8% vs. 8.1%, p<0.0001; 3.7% vs. 2.2%, p<0.0001; 14.1% vs. 5.8%, p<0.0001, respectively). In the control group, total and state citations did not change (26.7% vs. 23.9%, p=0.3606; 9.2% vs. 10.2%, p=0.3404, respectively), and local citations decreased (17.5% vs. 13.7%, p=0.0389). The rates of decrease per year for total, state, and local citations were significantly greater in the study population compared with control (p<0.0001, p=0.0002, p<0.0001, respectively). The 2007 GDL law in Massachusetts was associated with fewer traffic citations without a change in the rate of licenses issued to teenagers. These findings suggest that 2007 GDL may be improving driving habits as opposed to motivating teenagers to delay the issuing of licenses. Copyright © 2017. Published by Elsevier Ltd.

Mapping the Emergence of Synthetic Biology

PubMed Central

2016-01-01

In this paper, we apply an original scientometric analyses to a corpus comprising synthetic biology (SynBio) publications in Thomson Reuters Web of Science to characterize the emergence of this new scientific field. Three results were drawn from this empirical investigation. First, despite the exponential growth of publications, the study of population level statistics (newcomers proportion, collaboration network structure) shows that SynBio has entered a stabilization process since 2010. Second, the mapping of textual and citational networks shows that SynBio is characterized by high heterogeneity and four different approaches: the central approach, where biobrick engineering is the most widespread; genome engineering; protocell creation; and metabolic engineering. We suggest that synthetic biology acts as an umbrella term allowing for the mobilization of resources, and also serves to relate scientific content and promises of applications. Third, we observed a strong intertwinement between epistemic and socio-economic dynamics. Measuring scientific production and impact and using structural analysis data, we identified a core set of mostly American scientists. Biographical analysis shows that these central and influential scientists act as “boundary spanners,” meaning that their importance to the field lies not only in their academic contributions, but also in their capacity to interact with other social spaces that are outside the academic sphere. PMID:27611324