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




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Health Research Policy and Systems

, 6:9

First Online: 16 September 2008Received: 23 June 2008Accepted: 16 September 2008DOI: 10.1186-1478-4505-6-9

Cite this article as: Yousefi-Nooraie, R., Akbari-Kamrani, M., Hanneman, R.A. et al. Health Res Policy Sys 2008 6: 9. doi:10.1186-1478-4505-6-9

Abstract

BackgroundWe 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.

MethodsWe searched for English articles of the three research centers. We drew co-authorship maps of each center and calculated social network measures.

ResultsThe 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.

ConclusionStar shape network structure and dependency on a single big member 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.

Electronic supplementary materialThe online version of this article doi:10.1186-1478-4505-6-9 contains supplementary material, which is available to authorized users.

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Author: Reza Yousefi-Nooraie - Marjan Akbari-Kamrani - Robert A Hanneman - Arash Etemadi

Source: https://link.springer.com/







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