Detection of plagiarism among rhinology scientific journals

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 wh...

Full description

Saved in:
Bibliographic Details
Published inInternational forum of allergy & rhinology Vol. 14; no. 8; p. 1382
Main Authors Benaim, Ezer H, Wase, Saima, Zaidi, Saif, Monk, Aurelia, Klatt-Cromwell, Cristine, Thorp, Brian D, Ebert, Jr, Charles S, Kimple, Adam J, Senior, Brent A
Format Journal Article
LanguageEnglish
Published United States 01.08.2024
Subjects
Humans
Otolaryngology
Periodicals as Topic
Plagiarism
Software
evidence‐based medicine
rhinology workforce
similarity score
iThenticate
Online AccessGet more information

Cover

More Information
Summary: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.
ISSN:2042-6984
DOI:10.1002/alr.23347