Social network analysis of Iranian researchers on emergency medicine: a sociogram analysis

Ghafouri, Hamed Basir; Mohammadhassanzadeh, Hafez; Shokraneh, Farhad; Vakilian, Maryam; Farahmand, Shervin

doi:10.1136/emermed-2012-201781

Cited by 22 publications

(29 citation statements)

References 16 publications

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“…Inc., Cary, NC). Coauthorship network was created by exporting the Web of Science [16] database of references to BibExcel (software available at http://www8.umu.se/inforsk/Bibexcel/) [17] for bibliometric analysis. The resulting coauthor co-occurrence matrix was then imported to the software Pajek (software available at http://vlado.fmf.uni-lj.si/pub/networks/pajek/) [18] for mapping the network in the Kamada-Kawai layout.…”

Section: Methodsmentioning

confidence: 99%

Low Quality Evidence of Epidemiological Observational Studies on Leishmaniasis in Brazil

2014

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BackgroundBrazil has implemented systematic control methods for leishmaniasis for the past 30 years, despite an increase in cases and continued spread of the disease to new regions. A lack high quality evidence from epidemiological observational studies impedes the development of novel control methods to prevent disease transmission among the population. Here, we have evaluated the quality of observational studies on leishmaniasis conducted in Brazil to highlight this issue.Methods/Principal FindingsFor this systematic review, all publications on leishmaniasis conducted in Brazil from January 1st, 2002 to December 31st, 2012 were screened via Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist to select observational studies involving human subjects. The 283 included studies, representing only 14.1% of articles screened, were then further evaluated for quality of epidemiological methods and study design based on the STROBE (Strengthening the Reporting of Observational studies in Epidemiology) checklists. Over half of these studies were descriptive or case reports (53.4%, 151), followed by cross-sectional (20.8%, n = 59), case-control (8.5%, n = 24), and cohort (6.0%, n = 17). Study design was not stated in 46.6% (n = 181) and incorrectly stated in 17.5% (n = 24). Comparison groups were utilized in just 39.6% (n = 112) of the publications, and only 13.4% (n = 38) employed healthy controls. Majority of studies were performed at the city-level (62.9%, n = 178), in contrast with two (0.7%) studies performed at the national-level. Coauthorship networks showed the number of author collaborations rapidly decreased after three collaborations, with 70.9% (n = 659/929) of coauthors publishing only one article during the study period.Conclusions/SignificanceA review of epidemiological research in Brazil revealed a major lack of quality and evidence. While certain indicators suggested research methods may have improved in the last two years, an emphasis on observational research which employs comparison groups and representative samples is urgently needed.

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Section: Methodsmentioning

confidence: 99%

Low Quality Evidence of Epidemiological Observational Studies on Leishmaniasis in Brazil

2014

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“…This indicator emphasizes the structural position of nodes in the network and is de ned as total geodesic distances to all other nodes (17). Accordingly, authors with high closeness centrality are actors of the network, that receive information quickly and provide its distribution and accessibility throughout the network (14,15).…”

Section: Closenessmentioning

confidence: 99%

“…This indicator is based on the number of the shortest paths that cross through a node. Authors with high betweenness are the most in uential persons in the network and have most connections to different groups (14,17).…”

Section: Betweennessmentioning

confidence: 99%

“…More, the studies on dentistry education and paramedical clinical settings, literature reviews, letter to editors, conference abstracts, dissertations, and nonpro t organization reports were excluded because they did not encompass original data. We also excluded the authors with the less than two articles, based on the thresholds used in SNA studies, to visualize the co-authorship network and representation of the a suitable network (14).…”

Section: Inclusion and Exclusion Criteriamentioning

confidence: 99%

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Visualization of clinical teaching citations using social network analysis

Hazrati

Bigdeli

Arabshahi

et al. 2020

Preprint

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Background This study aimed to visualize the co-authorship networks and scientific map of research outputs of clinical teaching and medical education by Social Network Analysis (SNA). Methods We Identified 858 publications on clinical teaching through a systematic search strategy in the Scopus (Elsevier), Web of Science (Clarivate Analytics) and Medline (NCBI/NLM) through PubMed. Date of publication was limited to 1980 to 2018.The Ravar PreMap, Netdraw, UCINet and VOSviewer software were used for data visualization and analysis. Results Based on the findings of study the network of clinical teaching was weak in term of cohesion and the density in the co-authorship networks of authors (clustering coefficient (CC): 0.749, density: 0.0238) and collaboration of countries (CC: 0.655, density: 0.176). In regard to centrality measures; the most influential authors in the co-authorship network was Rosenbaum ME, from the USA (0.048). More, the USA, the UK, Canada, Australia and the Netherlands have central role in collaboration countries network and has the vertex co-authorship with other that participated in publishing articles in clinical teaching. Nineteen subject clusters were identified in the clinical teaching research network, seven of which were related to the expected competencies of clinical teaching and three related to clinical teaching skills. Conclusions Co-authorship between clinicians and medical educator specialists need to be strengthened through research development policies, appropriate academic networks and use of encouraging grants. In addition humanitarian and clinical reasoning need to consider in education of clinical teaching to empower the scientific map from thematic aspects.

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“…SNA provides both a visual and a mathematical analysis of social relationships (Scott, 2012). Most studies about SNA have been conducted to investigate research relationships and trends (Ghafouri et al, 2014;Patterson et al, 2013), interorganizational collaborations in the study of mental health systems (Provan and Milward, 1995), tourism research (Erkus-Ozturk and Eraydin, 2010;Scott et al, 2011), sport research (Quatman and Chelladurai, 2008;Love and Andrew, 2012), construction project management research (Chinowsky and Taylor, 2012), and industrial ecology research (Kim and Perez, 2015).…”

Section: Introductionmentioning

confidence: 99%

Unified network analysis on the organization of an industrial metabolic system

Fan

Qiao

Chen

2017

Resources, Conservation and Recycling

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Social network analysis of Iranian researchers on emergency medicine: a sociogram analysis

Abstract: because of Iranian low productivity in the emergency medicine field, social network analysis seems to be a proper option for bibliometrics to identify central authors and detect knowledge structure in this field.

Cited by 22 publications

References 16 publications

Low Quality Evidence of Epidemiological Observational Studies on Leishmaniasis in Brazil

Low Quality Evidence of Epidemiological Observational Studies on Leishmaniasis in Brazil

Visualization of clinical teaching citations using social network analysis

Unified network analysis on the organization of an industrial metabolic system

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