Document Type : Articles
1 Department of Medical Library and Information Sciences, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
2 Department of Biostatistics, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
3 Department of English Language, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
This study aimed at investigating scientific collaboration and analyzing co-authorship networks in pharmacology and pharmacy research studies in Iran. Data used for this scientometric study included all pharmacology and pharmacy documents of Iran, indexed in Web of Science (WOS) from 2003 to 2014 and were analyzed using citation analysis section of WOS and Excell and SPSS. Citespace, and Gephi softwares were used for visualization and analysis of co-authorship network. The dominant co-authorship pattern was four-author pattern, with collaboration index, degree of collaboration and collaboration coefficient of 4.49, 0.96 and 0.691 respectively. The obtained density for co-authorship network and the clustering coefficient mean were 0.3 and 0.306 respectively. Despite the fact that the collaboration index in the field of pharmacology and pharmacy was much greater compared to other fields, the networks' total average density signified a great sparseness of co-authorship network. The clustering coefficient mean indicated that the network members' tendency towards forming different clusters was relatively low. There was no meaningful relationship between collaboration index and the number of productions as well as collaboration index and the citation impact. Authors indicated a greater tendency towards co-authorship. It is recommended that senior officials in scientific communities pay more attention to scientific collaboration activities, allocation of budget and appropriate facilities, and providing suitable circumstance to encourage more collaboration. It is recommended also, researchers pay more attention to constant team working with colleagues and students.
- Acedo, F. J., Barroso, C., Casanueva, C., & Galan, J. L. (2006). Co‐authorship in management and organizational studies: An empirical and network analysis. Journal of Management Studies, 43(5), 957-983.
- Ajiferuke, I., Burell, Q., & Tague, J. (1988). Collaborative coefficient: A single measure of the degree of collaboration in research. Scientometrics, 14(5), 421-433.
- Avkiran, N. K. (1997). Scientific collaboration in finance does not lead to better quality research. Scientometrics, 39(2), 173-184.
- Bordons, M., & Barrigon, S. (1992). Bibliometric analysis of publications of Spanish pharmacologists in the SCI (1984–89). Part II: Contribution to subfields other than “pharmacology & pharmacy”(ISI). Scientometrics, 25(3), 425-446.
- Bordons, M., Aparicio, J., & Costas, R. (2013). Heterogeneity of collaboration and its relationship with research impact in a biomedical field. Scientometrics, 96(2), 443-466.
- Bordons, M., Garcia-Jover, F., & Barrigon, S. (1993). Is collaboration improving research visibility? Spanish scientific output in pharmacology and pharmacy. Research Evaluation, 3(1), 19-24.
- Cao, L., Pauleen, D., Wang, W. Y. C., & Whitworth, B. (2011). Structural Analysis in the Collaborative Research Network--The Empirices of Chinese Meteorology Researchers. Paper presented at the Computational Sciences and Optimization (CSO), 2011 Fourth International Joint Conference on Computational Sciences and Optimization.
- Clarke, B. L. (1964). Multiple authorship trends in scientific papers. Science, 143(3608), 822-824.
- Danesh, F., Mirzaee, M., Abdulmajid, A. H., Zeinolabedini, M. H., & Khosravi, A. (2009). Correlation between Scientific Output and Collaboration among LIS Scholars around the World. September 20-23, Istanbul Bilgi University, Turkey, 123.
- De Nooy, W., Mrvar, A., Batagelj, V., & Granovetter, M. (2005). Exploratory Social Network Analysis with Pajek. Cambridge: Cambridge University press.
- De Solla Price, D. J. (1973). Little science, big science. New York: Columbia University Press.
- Farahani, H., Eskrootchi, R., Mohaghegh, N., & Hosseini, A. (2014). A study of scientific collaboration in Iranian cardiovascular articles in web of science; 2002-2011. Journal of Health Administration (JHA), 17(56), Pe46-Pe55.
- Hanneman, R. A., & Riddle, M. (2005). Introduction to social network methods. Riverside, CA: University of California Riverside.
- Hassanzadeh, M., Khodadust, R., Hassanzadeh, T., Yates, S., & Akhgar, B. (2012). The Visualization of Collaboration among Iranian Researchers on Nanotechnology: A Social Network Approach. Paper presented at the In Proceedings of the International Conference on Information and Knowledge Engineering (IKE) (p. 1). The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp), 2012.
- Iribarren-Maestro, I., Lascurain-Sanchez, M., & Sanz-Casado, E. (2008). Are multi-authorship and visibility related? Study of ten research areas at Carlos III University of Madrid. Scientometrics, 79(1), 191-200.
- Izquierdo, L. R., & Hanneman, R. A. (2006). Introduction to the Formal Analysis of Social Networks Using Mathematica. University of California, Riverside.
- Kempe, D., Kleinberg, J., & Tardos, É. (2015). Maximizing the spread of influence through a social network. Theory of Computing, 11(4), 105-147.
- Kundra, R. (1996). Investigation of collaborative research trends in Indian medical sciences: 1900–1945. Scientometrics, 36(1), 69-80.
- Lu, H., & Feng, Y. (2009). A measure of authors’ centrality in co-authorship networks based on the distribution of collaborative relationships. Scientometrics, 81(2), 499-511.
- Mali, F., Kronegger, L., Doreian, P., & Ferligoj, A. (2012). Dynamic scientific co-authorship networks in Models of Science Dynamics (Scharnhorst, A., Börner, K., Vanden Besselaur, Eds., pp. 195-232). Berlin Springer.
- Mesgarpour, B., Etemadi, A., Fotouhi, A., Kebriaeezadeh, A., & Younesian, M. (2009). The trend of pharmaceutical research in Iran compared to Middle East and North Africa: A Scientometrics study. Health Information Management, 6(2), 141-151.
- Newman, M. E. (2001). The structure of scientific collaboration networks. Proceedings of the National Academy of Sciences, 98(2), 404-409.
- Nikzad, M., Jamali, H. R., & Hariri, N. (2011). Patterns of Iranian co-authorship networks in social sciences: A comparative study. Library & Information Science Research, 33(4), 313-319.
- Noyons, E., Moed, H., Glänzel, W., & Schmochl, U. (2004). Handbook of Quantitative Science and Technology Research. New York: Kluwer Academic Publishers.
- Olmeda-Gomez, C., Perianes-Rodriguez, A., Antonia Ovalle-Perandones, M., Guerrero-Bote, V. P., & de Moya Anegon, F. (2009). Visualization of scientific co-authorship in Spanish universities: From regionalization to internationalization. Aslib Proceedings, 61(1), 83-100.
- Osareh, F., & Marefat, R. (2005). The growth of scientific productivity of Iranian researchers in MEDLINE. Rahyaft, 35, 39-44.
- Osareh, F., Norouzi Chakoli, A., & Keshvari, M. (2010). Co-authorship of Iranian researchers in science, social science, art and humanities citation indexes in the web of science between 2000 and 2006. Journal of Information Processing and Management, 25(4), 573-595.
- Osca-Lluch, J., Velasco, E., Lopez, M., & Haba, J. (2009). Co-authorship and citation networks in Spanish history of science research. Scientometrics, 80(2), 373-383.
- Scott, J. (2012). Social Network Analysis: London: Sage.
- Shekofteh, M., & Hariri, N. (2013). Scientific mapping of medicine in iran using subject category co-citation and social network analysis. Journal of Health Administration, 16(51), 43-59.
- Sonnenwald, D. H. (2007). Scientific collaboration. Annual Review of Information Science and Technology, 41(1), 643-681.
- Taba, S. T., Hossain, L., Atkinson, S. R., & Lewis, S. (2015). Towards understanding longitudinal collaboration networks: A case of mammography performance research. Scientometrics, 103(2), 531-544.
- Wang, Y., Wu, Y., Pan, Y., Ma, Z., & Rousseau, R. (2005). Scientific collaboration in China as reflected in co-authorship. Scientometrics, 62(2), 183-198.
- Yan, E., & Ding, Y. (2009). Applying centrality measures to impact analysis: A co-authorship network analysis. Journal of the American Society for Information Science and Technology, 60(10), 2107-2118.
- Yousefi-Nooraie, R., Akbari-Kamrani, M., Hanneman, R. A., & Etemadi, A. (2008). Association between co-authorship network and scientific productivity and impact indicators in academic medical research centers: A case study in Iran. Health Research Policy and Systems, 6(1), 9.