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Detection of plagiarism among rhinology scientific journals
Ezer H Benaim1, Saima Wase1, Saif Zaidi2
1Department of Otolaryngology-Head & Neck Surgery, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina, USA.
International Forum of Allergy & Rhinology
|March 25, 2024
Abstract
Key Points:
Automated plagiarism-checking software can be a valuable tool for detecting plagiarism in manuscripts. Twenty-five of 60 articles (42%) had at least one incidence of plagiarism, predominately text recycling. A "similarity score" ranging from 22% to 35% could be a potential cut-off value when screening submitted manuscripts.
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