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Bioinformatics Advance Access published online on December 1, 2007
Bioinformatics, doi:10.1093/bioinformatics/btm574
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© The Author (2007). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

Déjà vu – A Study of Duplicate Citations in Medline

Mounir Errami 1, Justin M. Hicks 1, Wayne Fisher 1, David Trusty 1, Jonathan D. Wren 2, Tara C. Long 1 and Harold R. Garner 1,*

1UT Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas TX 75390-9185
2Arthritis and Immunology Research Program, Oklahoma Medical Research Foundation, 825 N.E. 13th Street, Oklahoma City OK 73104

*To whom correspondence should be addressed. Harold R. Garner, E-mail: Harold.Garner{at}utsouthwestern.edu


  Abstract

Motivation: Duplicate publication impacts the quality of the scientific corpus, has been difficult to detect, and studies this far have been limited in scope and size .Using text similarity searches, we were able to identify signatures of duplicate citations among a body of abstracts.

Results: A sample of 62,213 Medline citations was examined and a database of manually verified duplicate citations was created to study author publication behavior. We found that 0.04% of the citations with no shared authors were highly similar and are thus potential cases of plagiarism. 1.35% with shared authors were sufficiently similar to be considered a duplicate. Extrapolating, this would correspond to 3,500 and 117,500 duplicate citations in total, respectively.

Availability: eTBLAST, an automated citation matching tool, and Déjà vu, the duplicate citation database, are freely available at http://invention.swmed.edu/ and http:/spore.swmed.edu/dejavu.

Contact: Harold.Garner{at}utsouthwestern.edu

Associate Editor: Prof. Alfonso Valencia

Received on September 20, 2007; revised on November 14, 2007; accepted on November 15, 2007

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