Document Type

Thesis

College

College of Pharmacy and Health Sciences

Department

Pharmaceutical and Administrative Sciences

Degree

MS in Pharmaceutical Sciences

Date Completed

Spring 2024

First Committee Member

Sankey, Heather

Second Committee Member

Ekong, Gladys

Abstract

Background: Obstetrics and gynecology is a dynamic field with evolving research impact. Limited bibliometric analyses provide insights into factors influencing the citation metrics of scholarly articles within this specialty. Objectives: This study aims to identify the predictors of citations in top two OBGYN specialty journals. Methods: This bibliometric analysis examined articles from 2016 to 2018 published in the American Journal of Obstetrics and Gynecology and Obstetrics and Gynecology. All articles except for editorials and letters were included. The dependent variable was ‘Google Scholar’ citation counts. It was dichotomized for analysis as citation count at median or above and below median. The predictor variables were the year of publication, journal, broad study topic, specific study topic, study design/method, geographic region, number of institutions, number of clinical disciplines, number of references, open access status, number of mentions on Facebook, X, and Mendeley, and source of funding. Logistic regression was used to identify independent predictors of citations above median. Results: The median and mean (SD) number of citations for all articles (n=2,162) from the two journals were 35 and 57.56 (76.08), respectively. More recent articles articles were less likely to be high citations (OR = 0.444, p < .0001 for 2018 versus 2016 comparison). Articles published in the topic area of addiction/pain management and racism and maternal mortality and morbidity/gender diversity were 80% and six-fold more likely to be high-citations than those in perinatology, respectively (p < .05 for both comparisons). Reviews were more likely to be high citations than cohort studies (OR = 2.678, p < .0001). In addition, articles reporting randomized controlled trials were slightly less likely to be high citations than cohort study articles (OR=0.95, p=0.01). Geographic region was not associated with citations (p>0.05). Industry funding was associated with increased likelihood of articles being high citations compared to articles without funding (OR = 2.135, p = 0.0181). Articles with over 10 X-mentions were more likely to be high citation compared to those with 1-10 mentions (OR = 2.271, p < .0001). Open access status was not associated with citations (p>0.05). Higher number of disciplines, institutions, and references increased the odds of the article being high citations (p<0.05 for all comparisons). Conclusion: Factors associated with article being high citations included publication year, journal, specific research topics, study design, collaborative efforts, funding, X mentions, and number of references. Authors are encouraged to include detailed literature reviews in their papers, and it is recommended that researchers, editors, and publishers use social media such as X to enhance the visibility of new publications.

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