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Citation network analysis of retractions in molecular biology field

Author

Listed:
  • Sida Feng

    (Beijing University of Chemical Technology)

  • Lingzi Feng

    (National Science Library, Chinese Academy of Sciences)

  • Fang Han

    (National Science Library, Chinese Academy of Sciences)

  • Ye Zhang

    (Hebei Finance University)

  • Yanqing Ren

    (National Science Library, Chinese Academy of Sciences)

  • Lixue Wang

    (National Science Library, Chinese Academy of Sciences)

  • Junpeng Yuan

    (National Science Library, Chinese Academy of Sciences)

Abstract

Based on the extracted information of retracted papers from the Retraction Watch Database and the citation information of these papers from the Web of Science, we uncovered the complex relationships of retracted papers in the molecular biology domain via a citation network. The basic characteristics (i.e., time and spatial patterns, reasons, publishers) of the retracted articles were studied. Citation network analysis, including community detection and text analysis, was carried out. Our main findings are as follows: (1) The overall number of retractions in this field has been increasing over time, and these retractions have been mainly in China and the USA. (2) Most retracted papers were for both “scientific error” and “misconduct” reasons. Among the 13 reasons given, errors in the data and images accounted for the largest proportion. (3) Community structure is obvious in the citation network we constructed. In communities with five or more nodes, the average self-citation rate account for 76%. In the three largest communities 1, 2, and 3, the self-citation rate are respectively 99%, 100% and 77%. In community 6, the self-catition rate is 17%. Other papers from different teams were published in the Journal of Cellular Biochemistry (4 papers). Tumor Biology (3 papers) or Febs Letters (1 paper). The self-citation rate of community 5 is 60.00%. Most papers are from Alfredo Fusco’s team, and other ten papers are almost published in PLoS ONE. (4) The coupling relationship between citing-cited retraction reasons was revealed. Retractions and their citations were more likely to be retracted for the same reason. Most of the citing-cited papers from paper mills were published by the same publisher and even the same journal. (5) PI3K (an enzyme), WNT (a protein) and lncRNAs have recently been the major topics of retractions.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:scient:v:129:y:2024:i:8:d:10.1007_s11192-024-05101-4
    DOI: 10.1007/s11192-024-05101-4
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    More about this item

    Keywords

    Retractions; Molecular biology; Citation network; Retracted reasons;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

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