The scientific productions in Iranian biomedical ethics: A combined study of bibliometrics and social network analysis.

Abstract

This study aims at increasing our understanding of the research activities of Iranian researchers and institutions in the field of biomedical ethics from 1995 to 2015. A combination of bibliometrics and social network analysis was used to examine the bibliographic data of 580 documents published on Iranian biomedical ethics in Web of Science and Scopus databases to investigate the publication trend, scientific impact, subject keywords network, and social network analysis indicators for international and cross-institutional co-authorship networks. The results showed that the publication of documents has had a consistent and increasing growth and that the citation trend has grown along with it. The analysis of thematic clusters by keyword co-occurrence network shows that Iranian biomedical ethics research has dealt with various topics and that has introduced different research directions. Researchers from 28 countries were identified in the international collaboration network. The main partners of Iranian researchers were from the US (17.8%) and the UK (9.2%). However, there is a tendency to develop and complete cooperation with researchers from different countries. The cross-institutional collaboration network comprises of 63 institutes, of which Tehran University of Medical Sciences (38%), Shahid Beheshti University of Medical Sciences (11%) and Shiraz University of Medical Sciences (7%) have the largest share in publishing documents. The superiority of the first two universities based on centralization indicators in the cross-institutional collaboration network has caused the exchange of cross-network knowledge between and via these players. The network density indicator shows that almost half of the co-authorship links within the international collaboration network and 8% of the co-authorship links within the cross-institutional collaboration network have been implemented and that these networks are not very coherent.