Visualization of Knowledge Flow in Interpersonal Scientific Collaboration Network Endocrinology and Metabolism Research Institute



Ramezani A¹ ; Shahmoradi L² ; Azadeh F¹ ; Sheikhshoaei F¹ ; Atlasi R³ ; Namazi N⁴ ; Larijani B³ Show Affiliations
Source: Iranian Journal of Diabetes and Metabolism Published:2021

Abstract

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 coauthorship 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 coauthorship, additional studies will need a comprehensive picture of network cooperation to analyze the situation with other social network analysis indicators. © 2021, Tehran University of Medical Sciences. All rights reserved.