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Flagging incorrect nucleotide sequence reagents in biomedical papers: To what extent does the leading publication format impede automatic error detection?

Author

Listed:
  • Cyril Labbé

    (University of Grenoble Alpes)

  • Guillaume Cabanac

    (University of Toulouse)

  • Rachael A. West

    (The University of Sydney
    Children’s Cancer Research Unit)

  • Thierry Gautier

    (Institute for Advanced Biology)

  • Bertrand Favier

    (University of Grenoble Alpes)

  • Jennifer A. Byrne

    (The University of Sydney
    NSW Health Statewide Biobank)

Abstract

In an idealised vision of science the scientific literature is error-free. Errors reported during peer review are supposed to be corrected prior to publication, as further research establishes new knowledge based on the body of literature. It happens, however, that errors pass through peer review, and a minority of cases errata and retractions follow. Automated screening software can be applied to detect errors in manuscripts and publications. The contribution of this paper is twofold. First, we designed the erroneous reagent checking (ERC) benchmark to assess the accuracy of fact-checkers screening biomedical publications for dubious mentions of nucleotide sequence reagents. It comes with a test collection comprised of 1679 nucleotide sequence reagents that were curated by biomedical experts. Second, we benchmarked our own screening software called Seek&Blastn with three input formats to assess the extent of performance loss when operating on various publication formats. Our findings stress the superiority of markup formats (a 79% detection rate on XML and HTML) over the prominent PDF format (a 69% detection rate at most) regarding an error flagging task. This is the first published baseline on error detection involving reagents reported in biomedical scientific publications. The ERC benchmark is designed to facilitate the development and validation of software bricks to enhance the reliability of the peer review process.

Suggested Citation

  • Cyril Labbé & Guillaume Cabanac & Rachael A. West & Thierry Gautier & Bertrand Favier & Jennifer A. Byrne, 2020. "Flagging incorrect nucleotide sequence reagents in biomedical papers: To what extent does the leading publication format impede automatic error detection?," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1139-1156, August.
  • Handle: RePEc:spr:scient:v:124:y:2020:i:2:d:10.1007_s11192-020-03463-z
    DOI: 10.1007/s11192-020-03463-z
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    References listed on IDEAS

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    1. Jennifer A. Byrne & Cyril Labbé, 2017. "Striking similarities between publications from China describing single gene knockdown experiments in human cancer cell lines," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1471-1493, March.
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    Cited by:

    1. Jennifer A. Byrne & Yasunori Park & Rachael A. West & Amanda Capes-Davis & Bertrand Favier & Guillaume Cabanac & Cyril Labbé, 2021. "The thin ret(raction) line: biomedical journal responses to incorrect non-targeting nucleotide sequence reagents in human gene knockdown publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3513-3534, April.
    2. Sida Feng & Lingzi Feng & Fang Han & Ye Zhang & Yanqing Ren & Lixue Wang & Junpeng Yuan, 2024. "Citation network analysis of retractions in molecular biology field," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(8), pages 4795-4817, August.

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    1. Sida Feng & Lingzi Feng & Fang Han & Ye Zhang & Yanqing Ren & Lixue Wang & Junpeng Yuan, 2024. "Citation network analysis of retractions in molecular biology field," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(8), pages 4795-4817, August.
    2. Jennifer A. Byrne & Yasunori Park & Rachael A. West & Amanda Capes-Davis & Bertrand Favier & Guillaume Cabanac & Cyril Labbé, 2021. "The thin ret(raction) line: biomedical journal responses to incorrect non-targeting nucleotide sequence reagents in human gene knockdown publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3513-3534, April.

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