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A bibliometric analysis of plagiarism and self-plagiarism through Déjà vu

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  • Antonio García-Romero

    (IE University)

  • José Manuel Estrada-Lorenzo

    (Hospital Universitario 12 Octubre)

Abstract

Plagiarism is one of the most important current debates among scientific stakeholders. A separate but related issue is the use of authors’ own ideas in different papers (i.e., self-plagiarism). Opinions on this issue are mixed, and there is a lack of consensus. Our goal was to gain deeper insight into plagiarism and self-plagiarism through a citation analysis of documents involved in these situations. The Déjà vu database, which comprises around 80,000 duplicate records, was used to select 247 pairs of documents that had been examined by curators on a full text basis following a stringent protocol. We then used the Scopus database to perform a citation analysis of the selected documents. For each document pair, we used specific bibliometric indicators, such as the number of authors, full text similarity, journal impact factor, the Eigenfactor, and article influence. Our results confirm that cases of plagiarism are published in journals with lower visibility and thus tend to receive fewer citations. Moreover, full text similarity was significantly higher in cases of plagiarism than in cases of self-plagiarism. Among pairs of documents with shared authors, duplicates not citing the original document showed higher full text similarity than those citing the original document, and also showed greater overlap in the references cited in the two documents.

Suggested Citation

  • Antonio García-Romero & José Manuel Estrada-Lorenzo, 2014. "A bibliometric analysis of plagiarism and self-plagiarism through Déjà vu," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 381-396, October.
    • Handle: RePEc:spr:scient:v:101:y:2014:i:1:d:10.1007_s11192-014-1387-3
    DOI: 10.1007/s11192-014-1387-3
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    References listed on IDEAS

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    1. Mounir Errami & Harold Garner, 2008. "A tale of two citations," Nature, Nature, vol. 451(7177), pages 397-399, January.
    2. Eugenie Samuel Reich, 2010. "Self-plagiarism case prompts calls for agencies to tighten rules," Nature, Nature, vol. 468(7325), pages 745-745, December.
    3. Antonio García Romero & José Navarrete Cortés & Cristina Escudero & Juan Antonio Fernández López & Juan Antonio Chaichío Moreno, 2009. "Measuring the influence of clinical trials citations on several bibliometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(3), pages 747-760, September.
    4. Zhaohui Sun & Mounir Errami & Tara Long & Chris Renard & Nishant Choradia & Harold Garner, 2010. "Systematic Characterizations of Text Similarity in Full Text Biomedical Publications," PLOS ONE, Public Library of Science, vol. 5(9), pages 1-6, September.
    5. Daniele Fanelli, 2009. "How Many Scientists Fabricate and Falsify Research? A Systematic Review and Meta-Analysis of Survey Data," PLOS ONE, Public Library of Science, vol. 4(5), pages 1-11, May.
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    Cited by:

    1. Tingting Zhang & Baozhen Lee & Qinghua Zhu, 2019. "Semantic measure of plagiarism using a hierarchical graph model," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 209-239, October.
    2. Wen-Yau Cathy Lin, 2020. "Self-plagiarism in academic journal articles: from the perspectives of international editors-in-chief in editorial and COPE case," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 299-319, April.
    3. Diego Raphael Amancio, 2015. "Comparing the topological properties of real and artificially generated scientific manuscripts," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1763-1779, December.
    4. Anna Abalkina & Alexander Libman, 2020. "The real costs of plagiarism: Russian governors, plagiarized PhD theses, and infrastructure in Russian regions," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2793-2820, December.
    5. Tove Faber Frandsen & Mette Brandt Eriksen & David Mortan Grøne Hammer & Janne Buck Christensen, 2019. "Fragmented publishing: a large-scale study of health science," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1729-1743, June.

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