ArticleJournal of research in medical sciences : the official journal of Isfahan University of Medical Sciences2014
Study of co-authorship network of papers in the Journal of Research in Medical Sciences using social network analysis.
Article in Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.
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- Scientific and technological innovation cooperation network of the Greater Bay Area in South China: A social network analysis.PloS one · 2025Article
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- A Decade of Post-Intensive Care Syndrome: A Bibliometric Network Analysis.Medicina (Kaunas, Lithuania) · 2022Article
- Visualization of clinical teaching citations using social network analysis.BMC medical education · 2021Article
- Building visualization skills through investigating theJournal of the Medical Library Association : JMLA · 2020Article
- Intradepartment scientific collaboration in Journal of Research in Medical Sciences: A co-authorship study.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2018Article
- Analysing published global Ebola Virus Disease research using social network analysis.PLoS neglected tropical diseases · 2017Article
- The condition of interdisciplinary communication among various Educational and Research Departments of Isfahan University of Medical Sciences.Journal of education and health promotion · 2017Article
- Bibliometric trends of health economic evaluation in Sub-Saharan Africa.Globalization and health · 2016Review
- Scientometric study of academic publications on antioxidative herbal medicines in type 2 diabetes mellitus.Journal of diabetes and metabolic disorders · 2016Article
- Evolution of Cooperation Patterns in Psoriasis Research: Co-Authorship Network Analysis of Papers in Medline (1942-2013).PloS one · 2015Article
- Social Network Analysis of Iranian Researchers on Medical Parasitology: A 41 Year Co-Authorship Survey.Iranian journal of parasitologyArticle
- Analysis of ten years of publishing in Pharmacy Practice.Pharmacy practiceArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCo-authorship is one of the most tangible forms of research collaboration. A co-authorship network is a social network in which the authors through participation in one or more publication through an indirect path have linked to each other. The present research using the social network analysis studied co-authorship network of 681 articles published in Journal of Research in Medical Sciences (JRMS) during 2008-2012. MATERIALS AND
methodsThe study was carried out with the scientometrics approach and using co-authorship network analysis of authors. The topology of the co-authorship network of 681 published articles in JRMS between 2008 and 2012 was analyzed using macro-level metrics indicators of network analysis such as density, clustering coefficient, components and mean distance. In addition, in order to evaluate the performance of each authors and countries in the network, the micro-level indicators such as degree centrality, closeness centrality and betweenness centrality as well as productivity index were used. The UCINET and NetDraw softwares were used to draw and analyze the co-authorship network of the papers.
resultsThe assessment of the authors productivity in this journal showed that the first ranks were belonged to only five authors, respectively. Furthermore, analysis of the co-authorship of the authors in the network demonstrated that in the betweenness centrality index, three authors of them had the good position in the network. They can be considered as the network leaders able to control the flow of information in the network compared with the other members based on the shortest paths. On the other hand, the key role of the network according to the productivity and centrality indexes was belonged to Iran, Malaysia and United States of America.
conclusionCo-authorship network of JRMS has the characteristics of a small world network. In addition, the theory of 6° separation is valid in this network was also true.
Indexed as
Identifiers
24672564PMC3963322W2110390090What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.