Bibliometric and social network analysis of a Clinical and Translational Resource awardee: An Oklahoma experience 2014-2021

Janis E Campbell; Motolani E Ogunsanya; Nicole Holmes; Tim VanWagoner; Judith James

doi:10.1017/cts.2023.690

Bibliometric and social network analysis of a Clinical and Translational Resource awardee: An Oklahoma experience 2014-2021

J Clin Transl Sci. 2023 Dec 7;8(1):e10. doi: 10.1017/cts.2023.690. eCollection 2024.

Authors

Janis E Campbell¹, Motolani E Ogunsanya^{2

3}, Nicole Holmes⁴, Tim VanWagoner⁴, Judith James^{4

5}

Affiliations

¹ Department of Biostatistics and Epidemiology, Hudson College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
² College of Pharmacy, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
³ TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
⁴ Oklahoma Clinical and Translational Science, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
⁵ University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.

Abstract

Background: Social Network Analysis is a method of analyzing coauthorship networks or relationships through graph theory. Institutional Development Award (IDeA) Networks for Clinical and Translational Research (IDeA-CTR) was designed to expand the capability for clinical and translational research to enhance National Institutes of Health funding.

Methods: All publications from a cohort of clinical and translational scientists in Oklahoma were collected through a PubMed search for 2014 through 2021 in October 2022. For this study's bibliometric portion, we pulled the citations from iCite in November of 2022.

Results: There were 2,391 articles published in 1,019 journals. The number of papers published by year increased from 56 in 2014 to 448 in 2021. The network had an average of 6.4 authors per paper, with this increasing by year from 5.3 in 2014 to 6.9 in 2021. The average journal impact factor for the overall network was 7.19, with a range from 0.08 to 202.73. The Oklahoma Shared Clinical and Translational Resources (OSCTR) network is a small world network with relatively weak ties.

Conclusions: This study provides an overview of coauthorship in an IDeA-CTR collaboration. We show the growth and structure of coauthorship in OSCTR, highlighting the importance of understanding and fostering collaboration within research networks.

Keywords: Social network analysis; bibliometric; clinical and translational research; co-authorship; evaluation.