• Title of article

    A visual analytic study of retracted articles in scientific literature

  • Author/Authors

    Chaomei Chen1، نويسنده , , Zhigang Hu2، نويسنده , , Jared Milbank3، نويسنده , , Timothy Schultz1، نويسنده ,

  • Issue Information
    ماهنامه با شماره پیاپی سال 2013
  • Pages
    20
  • From page
    234
  • To page
    253
  • Abstract
    Retracting published scientific articles is increasingly common. Retraction is a self-correction mechanism of the scientific community to maintain and safeguard the integrity of scientific literature. However, a retracted article may pose a profound and long-lasting threat to the credibility of the literature. New articles may unknowingly build their work on false claims made in retracted articles. Such dependencies on retracted articles may become implicit and indirect. Consequently, it becomes increasingly important to detect implicit and indirect threats. In this article, our aim is to raise the awareness of the potential threats of retracted articles even after their retraction and demonstrate a visual analytic study of retracted articles with reference to the rest of the literature and how their citations are influenced by their retraction. The context of highly cited retracted articles is visualized in terms of a co-citation network as well as the distribution of articles that have high-order citation dependencies on retracted articles. Survival analyses of time to retraction and postretraction citation are included. Sentences that explicitly cite retracted articles are extracted from full-text articles. Transitions of topics over time are depicted in topic-flow visualizations. We recommend that new visual analytic and science mapping tools should take retracted articles into account and facilitate tasks specifically related to the detection and monitoring of retracted articles.
  • Keywords
    information filtering , visualization (electronic) , Content analysis
  • Journal title
    Journal of the American Society for Information Science and Technology
  • Serial Year
    2013
  • Journal title
    Journal of the American Society for Information Science and Technology
  • Record number

    994800