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Plagiarism detection in manuscripts submitted to the Journal of Surgical Sciences between 2020 and 2021: a case study
- Source :
- Science Editing, Vol 10, Iss 2, Pp 149-153 (2023)
- Publication Year :
- 2023
- Publisher :
- Korean Council of Science Editors, 2023.
-
Abstract
- The aim of this study was to share our experience with plagiarism detection in manuscripts submitted to the Journal of Surgical Sciences, a Romania-based medical journal, between 2020 and 2021. We analyzed similarity score reports from 200 articles submitted consecutively for publication between 2020 and 2021 generated by PlagScan, a software tool for plagiarism detection. The similarity score ranged from 0% to 92.4%, and 45 articles presented scores over 25.0%. According to PlagScan’s results, more than half of the submitted articles had a similarity score of more than 10% and one-third of them had a similarity score above 20%. Among submitted manuscripts with a similarity score of less than 20%, a larger proportion of the original research and review manuscripts than case reports used more than 10 sources. All articles with a similarity score below 20% were evaluated qualitatively before the final decision of rejection.
- Subjects :
- plagiarism
detection
software
articles
journal
Science (General)
Q1-390
Subjects
Details
- Language :
- English
- ISSN :
- 22888063 and 22887474
- Volume :
- 10
- Issue :
- 2
- Database :
- Directory of Open Access Journals
- Journal :
- Science Editing
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.b1c9232e8a0a463cbd0b9d0e9b2cc185
- Document Type :
- article
- Full Text :
- https://doi.org/10.6087/kcse.313