Plagiarism detection in manuscripts submitted to the Journal of Surgical Sciences between 2020 and 2021: a case study

被引：0

作者：

Musat, Florentina ^{[1
,2
]}

Paduraru, Dan Nicolae ^{[1
,2
]}

Bolocan, Alexandra ^{[1
,2
]}

Ion, Daniel ^{[1
,2
]}

Constantinescu, Alexandru ^{[1
,2
]}

Andronic, Octavian ^{[1
,2
]}

机构：

[1] Carol Davila Univ Med & Pharm, Bucharest, Romania

[2] Univ Emergency Hosp Bucharest, Bucharest, Romania

来源：

SCIENCE EDITING | 2023年 / 10卷 / 02期

关键词：

Plagiarism; Detection; Software; Articles; Journal;

D O I：

10.6087/kcse.313

中图分类号：

G2 [信息与知识传播];

学科分类号：

05 ; 0503 ;

摘要：

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.

引用

页码：149 / 153

页数：5

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