CrossCheck: an effective tool for detecting plagiarism
Author: Zhang, Helen (Yuehong)
Source: Learned Publishing, Volume 23, Number 1, January 2010 , pp. 9-14(6)
Abstract:The plagiarism detection service CrossCheck has been used since October 2008 as part of the paper reviewing process for the Journal of Zhejiang University - Science (A & B). Between October 2008 and May 2009 662 papers were CrossChecked; 151 of these (around 22.8% of submitted papers) were found to contain apparently unreasonable levels of copying or self-plagiarism, and 25.8% of these cases (39 papers) gave rise to serious suspicions of plagiarism and copyright infringement. Four types of copying or plagiarism were identified, in an attempt to reach a consensus on this type of academic misconduct.
Document Type: Case report
Publication date: 2010-01-01
- Editor in Chief: Alan Singleton
North American Editor: Diane Scott-Lichter
Reviews Editor: Pippa Smart
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