Volume 20, Issue 1 (25th Anniversary of the Foundation, Special Issue 2021)                   ijdld 2021, 20(1): 71-82 | Back to browse issues page

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Ramezani A, Shahmoradi L, Azadeh F, Sheikhshoaei F, Atlasi R, Namazi N et al . VISUALIZATION OF KNOWLEDGE FLOW IN INTERPERSONAL SCIENTIFIC COLLABORATION NETWORK ENDOCRINOLOGY AND METABOLISM RESEARCH INSTITUTE. ijdld 2021; 20 (1) :71-82
URL: http://ijdld.tums.ac.ir/article-1-6008-en.html
1- Department of Medical Library and Information Sciences, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran
2- Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran
3- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
4- Diabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
5- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran , larijanib@tums.ac.ir
Abstract:   (1703 Views)
Background: A key aspect of Scientific collaboration increases scientific productivity. This study aimed to draw up a scientific collaboration network of the Endocrinology and Metabolism Research Institute (EMRI) at Tehran University of Medical Sciences.
Methods: A Descriptive Cross-Sectional Study was conducted by the Scientometrics method. Data collection from the Scopus and Web of Science Core collection databases between 2002 until 30 October 2020. MS-Excel, HistCite, VOSviewer, and ScientoPy were used for descriptive statistics and data analysis.
Results: A total of 4190 records with the affiliation of the EMRI are indexed in two international databases. All of the records received a sum of 89480 citations. The EMRI Researchers were published in 1118 journals. The annual growth rate of publication and citation of the scientific output of the EMRI was 20.3% and 22.7%, respectively. A total of 17662 authors from 186 countries participated in the publication. The co-authorship pattern shows. The next section of the Study was classified and visualized based on authorship (institutes and country of affiliation), keywords (co-occurrence and trend).
Conclusion: Overall, these results indicate that the pattern of collaborations in the authorships' articles increases the flow of knowledge among the institute's researchers as a result of international collaborations, interaction with leading countries, and interdisciplinary collaborations. To develop a full picture of co-authorship, additional studies will need a comprehensive picture of network cooperation to analyze the situation with other social network analysis indicators.
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Type of Study: Research | Subject: General
Received: 2020/12/1 | Accepted: 2021/01/13 | Published: 2021/01/29

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