Volume 16, Issue 51 (4-2013)
jha 2013, 16(51): 43-59 |
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Shekofteh M, Hariri N. Scientific Mapping of Medicine in Iran Using Subject Category Co-Citation and Social Network Analysis. jha 2013; 16 (51) :43-59
URL: http://jha.iums.ac.ir/article-1-1152-en.html
URL: http://jha.iums.ac.ir/article-1-1152-en.html
1- Shahid Beheshti University of Medical Sciences. Tehran, Iran , shekofteh_m@Yahoo.com
2- LIS department, Science and Research Branch, Islamic Azad University, Tehran, IRAN
2- LIS department, Science and Research Branch, Islamic Azad University, Tehran, IRAN
Abstract: (8763 Views)
Introduction: Regarding the importance of medical research, scientific mapping and social network analysis, the main aim of this article was to visualize scientific mapping of medicine in Iran in 2007 based on the two indices of degree and betweenness centrality of social network analysis.
Methods: In this scientometric study, the population of the study included all medical scientific products of Iran in 2007 indexed in Science Citation Index (3967 documents). Network Workbench Tool (NWB) was used for calculating subject category co-citation, analyzing social networks and visualizing the maps.
Results: More than 37% of scientific products of Iran in 2007 belonged to medical categories. The most productive category was general and internal medicine and the most cited category was from pharmacology and pharmacy. These two categories together with biochemistry and molecular biology ranked the highest in degree and betweenness centrality. The strongest co-citation link was between general and internal medicine and public health, occupational and environmental health.
Conclusion: Using the social network indices is effective in the analysis of scientific mapping of medicine. Highly productive and more cited subject categories have strong presence in scientific maps of subject category co-citation.
Methods: In this scientometric study, the population of the study included all medical scientific products of Iran in 2007 indexed in Science Citation Index (3967 documents). Network Workbench Tool (NWB) was used for calculating subject category co-citation, analyzing social networks and visualizing the maps.
Results: More than 37% of scientific products of Iran in 2007 belonged to medical categories. The most productive category was general and internal medicine and the most cited category was from pharmacology and pharmacy. These two categories together with biochemistry and molecular biology ranked the highest in degree and betweenness centrality. The strongest co-citation link was between general and internal medicine and public health, occupational and environmental health.
Conclusion: Using the social network indices is effective in the analysis of scientific mapping of medicine. Highly productive and more cited subject categories have strong presence in scientific maps of subject category co-citation.
Type of Study: Research |
Received: 2012/09/14 | Accepted: 2013/11/19 | Published: 2013/11/19
Received: 2012/09/14 | Accepted: 2013/11/19 | Published: 2013/11/19
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