Unraveling Retraction Dynamics in COVID-19 Research: Patterns, Reasons, and Implications
Parul Khurana, Ziya Uddin, and Kiran Sharma

TL;DR
This study analyzes 400 retracted COVID-19 papers to understand retraction patterns, reasons, and implications for journal quality and research integrity during the pandemic.
Contribution
It provides a comprehensive analysis of retraction trends, causes, and journal impact factors for COVID-19 research, highlighting areas for improving scholarly publishing practices.
Findings
One-fourth of retractions occurred within the first month of publication.
Q1 journals accounted for one-third of retractions.
Data issues and multiple causes were common reasons for retraction.
Abstract
Amid the COVID-19 pandemic, while the world sought solutions, some scholars exploited the situation for personal gains through deceptive studies and manipulated data. This paper presents the extent of 400 retracted COVID-19 papers listed by the Retraction Watch database until February 2024. The primary purpose of the research was to analyze journal quality and retraction trends. For all stakeholders involved, such as editors, relevant researchers, and policymakers, evaluating the journal's quality is crucial information since it could help them effectively stop such incidents and their negative effects in the future. The present research results imply that one-fourth of publications were retracted within the first month of their publication, followed by an additional 6\% within six months of publication. One-third of the retractions originated from Q1 journals, with another significant…
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Taxonomy
TopicsOnline Learning and Analytics
