Association between co-authorship network and scientific productivity and impact indicators in academic medical research centers: A case study in Iran

被引：37

作者：

Yousefi-Nooraie R. ^{[1
,2
]}

Akbari-Kamrani M. ^{[2
]}

Hanneman R.A. ^{[3
]}

Etemadi A. ^{[4
]}

机构：

[1] Center for Academic and Health Policy, Tehran University of Medical Sciences, Tehran

[2] Students' Scientific Research Center, Tehran University of Medical Sciences, Tehran

[3] Department of Sociology, University of California, Riverside, CA

[4] Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran

来源：

Health Research Policy and Systems | / 6卷 / 1期

关键词：

Betweenness Centralization; Geodesic Distance; Small World; Collaboration Network; Knowledge Flow;

D O I：

10.1186/1478-4505-6-9

中图分类号：

学科分类号：

摘要：

Background: We aimed to examine the co-authorship networks in three successful Iranian academic research centers, in order to find the association between the scientific productivity and impact indicators with network features in a case study. Methods: We searched for English articles of the three research centers. We drew co-authorship maps of each center and calculated social network measures. Results: The collaboration networks in centers shared many structural features, including a star-like" pattern of relations. Centers with more successful scientific profile showed denser and more cooperative networks. Key figures in each center were interviewed for their understandings of the reasons for the emergence of these patterns. Conclusion: Star shape network structure and dependency on a single bigmember is a common feature observed in our case study. Scientific output measures correlate with the network structure of research centers. Network analysis seems a useful method to explore the subtle scientific contexts in research organizations. © 2008 Yousefi-Nooraie et al; licensee BioMed Central Ltd."

引用

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