Visualization of knowledge flow in interpersonal scientific collaboration network endocrinology and metabolism research
- PDF / 1,478,140 Bytes
- 9 Pages / 595.276 x 790.866 pts Page_size
- 115 Downloads / 238 Views
REVIEW ARTICLE
Visualization of knowledge flow in interpersonal scientific collaboration network endocrinology and metabolism research institute Leila Shahmoradi 1,2
&
Aboozar Ramezani 3
&
Rasha Atlasi 4
&
Nazli Namazi 5
&
Bagher Larijani 6
Received: 25 July 2020 / Accepted: 21 September 2020 # Springer Nature Switzerland AG 2020
Abstract Purpose Research collaborations can help to increase scientific productivity. The purpose of the present study was to draw up the knowledge flow network of the Endocrinology and Metabolism Research Institute (EMRI) affiliated to Tehran University of Medical Sciences. Methods The present study is a descriptive cross-sectional study on the publications of the EMRI. Web of Science Core collection databases were searched for the EMRI publications between 2002 to November 2019. Besides, publications were classified and visualized based on authorships (institutes and country of affiliation), and keywords (cooccurrence and trend). Scientometric methods including VOSviewer and HistCite were used for descriptive statistics and data analysis. Results Total citations to the records were 47,528 and papers were published in 916 journals. The annual growth rate of publications and the citation was 14.2% and 18.9%, respectively. A total of 9466 authors from 136 countries collaborated in the publications. The co-authorship patterns showed that the average co-authorship and collaboration coefficient was 3.3 and 0.19. Conclusion Knowledge flow between EMRI researchers with international collaborations, engagement with leading countries, and interdisciplinary collaborations have an increasing trend. To develop a full picture of co-authorship, using social network analysis indicators are suggested for future studies. Keywords Bibliometrics . Data visualization . Knowledge discovery . EMRI
Aboozar Ramezani and Bagher Larijani Equally contributed as corresponding Authors Electronic supplementary material The online version of this article (https://doi.org/10.1007/s40200-020-00644-8) contains supplementary material, which is available to authorized users. * Aboozar Ramezani [email protected]
4
Evidence Based Practice Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
5
Diabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
6
Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
* Bagher Larijani [email protected] 1
Halal Research Center of IRI, FDA, Tehran, Iran
2
Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran
3
Department of Medical Library and Information Sciences, Virtual School, Tehran University of Medical Sciences, Tehran, Iran
J Diabetes Metab Disord
Background According to the statistical reports of the U.S National Lib
Data Loading...
