How COVID-19 affected academic publishing: a 3-year study of 17 million research papers.

ABSTRACT:

Background

The COVID-19 pandemic induced an unprecedented response from the scientific research community. Previous studies have described disruption of the norms of academic publishing during this time. This study uses an epidemiological statistical toolkit alongside machine-learning methods to investigate the functioning of the scientific information-generation and -consumption ecosystem throughout the pandemic.

Methods

A dataset of 17 million scientific research papers that were published between January 2019 and December 2022 was analysed. Data on citations and Altmetrics were harvested, and topic modelling was applied to abstracts. COVID-19-related articles were identified from title text. We investigated publication dynamics, correlations between citation metrics and A

SUBMITTER: Whitaker M 

PROVIDER: S-EPMC12107239 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature