Evaluating the dependability of reference-driven citation forecasts amid the COVID-19 pandemic: A bibliometric analysis across diverse journals.

ABSTRACT:

Background

The journal impact factor significantly influences research publishing and funding decisions. With the surge in research due to COVID-19, this study investigates whether references remain reliable citation predictors during this period.

Methods

Four multidisciplinary journals (PLoS One, Medicine [Baltimore], J. Formos. Med. Assoc., and Eur. J. Med. Res.) were analyzed using the Web of Science database for 2020 to 2022 publications. The study employed descriptive, predictive, and diagnostic analytics, with tools such as 4-quadrant radar plots, univariate regressions, and country-based collaborative maps via the follower-leading cluster algorithm.

Results

Six countries dominated the top 20 affiliations: China, Japan, South Korea, Taiwan, Germany, and Brazil.

SUBMITTER: Ho SY 

PROVIDER: S-EPMC10798765 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature