Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
A visual analytic study of retracted articles in scientific literature
73
Zitationen
4
Autoren
2012
Jahr
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 However, a retracted article may pose a profound and long‐lasting threat to the credibility of the literature.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.
Ähnliche Arbeiten
International Journal of Scientific and Research Publications
2022 · 2.691 Zit.
Student writing in higher education: An academic literacies approach
1998 · 2.490 Zit.
Measuring the Prevalence of Questionable Research Practices With Incentives for Truth Telling
2012 · 2.303 Zit.
How Many Scientists Fabricate and Falsify Research? A Systematic Review and Meta-Analysis of Survey Data
2009 · 1.918 Zit.
Chatting and cheating: Ensuring academic integrity in the era of ChatGPT
2023 · 1.739 Zit.