Detection of plagiarism among rhinology scientific journals

Int Forum Allergy Rhinol. 2024 Aug;14(8):1382-1385. doi: 10.1002/alr.23347. Epub 2024 Mar 25.

Abstract

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.

Keywords: evidence‐based medicine; iThenticate; rhinology workforce; similarity score.

MeSH terms

  • Humans
  • Otolaryngology
  • Periodicals as Topic*
  • Plagiarism*
  • Software