Hamed Basir Ghafouri1, Hafez Mohammadhassanzadeh2, Farhad Shokraneh3, Maryam Vakilian4, Shervin Farahmand5. 1. Emergency Department, Sina Hospital, Tehran University of Medical Sciences, Tehran, Iran. 2. Scientometrics Research Center, Kerman University of Medical Sciences, Kerman, Iran. 3. Research Center for Pharmaceutical Nanotechnology, Tabriz University of Medical Sciences, Tabriz, Iran Iranian Center for Evidence-Based Medicine, Tabriz University of Medical Sciences, Tabriz, Iran. 4. Department of Emergency Medicine, Rasul-Akram Hospital, Tehran University of Medical Sciences, Tehran, Iran. 5. Department of Emergency Medicine, Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Abstract
BACKGROUND: The purpose of this study was to report interaction patterns among Iranian authors of emergency medicine using social network analysis methodology, focusing on coauthorship network. METHODS: The bibliographic data of Iranian authors on the 'emergency medicine' field during the years 2001-2011 were retrieved from the Science Citation Index Expanded database. Co-occurrence matrices were made by BibExcel and were imported to Ucinet and NetDraw to delineate coauthorship network. To detect structural patterns among authors, we considered some measures of social network analysis, such as density, centralisation indices, component analysis and cut-points. Lastly, subject experts separately analysed the content of papers. RESULTS: Of 116 papers published, the network was composed of 10 components, with the largest component having 25 authors. Using social network analysis measures, we identified science bottlenecks in knowledge sharing, hub authors and accelerators of information flow. Topic analysis showed 'Wounds and Injuries' as the most recent theme in all components because of existence of national registry for trauma, high burden of road traffic injuries and research priority of injuries in Iran. CONCLUSIONS: 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. 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.
BACKGROUND: The purpose of this study was to report interaction patterns among Iranian authors of emergency medicine using social network analysis methodology, focusing on coauthorship network. METHODS: The bibliographic data of Iranian authors on the 'emergency medicine' field during the years 2001-2011 were retrieved from the Science Citation Index Expanded database. Co-occurrence matrices were made by BibExcel and were imported to Ucinet and NetDraw to delineate coauthorship network. To detect structural patterns among authors, we considered some measures of social network analysis, such as density, centralisation indices, component analysis and cut-points. Lastly, subject experts separately analysed the content of papers. RESULTS: Of 116 papers published, the network was composed of 10 components, with the largest component having 25 authors. Using social network analysis measures, we identified science bottlenecks in knowledge sharing, hub authors and accelerators of information flow. Topic analysis showed 'Wounds and Injuries' as the most recent theme in all components because of existence of national registry for trauma, high burden of road traffic injuries and research priority of injuries in Iran. CONCLUSIONS: 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. 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.
Authors: Roseric Azondekon; Zachary James Harper; Fiacre Rodrigue Agossa; Charles Michael Welzig; Susan McRoy Journal: Glob Health Res Policy Date: 2018-04-06
Authors: Bingke Zhu; Hao Fan; Bingbing Xie; Ran Su; Chaofeng Zhou; Jianping He Journal: Int J Environ Res Public Health Date: 2020-04-11 Impact factor: 3.390