Characteristics of Retracted Publications From Kazakhstan: An Analysis Using the Retraction Watch Database

J Korean Med Sci. 2023 Nov 27;38(46):e390. doi: 10.3346/jkms.2023.38.e390.

Abstract

Background: Retraction is a correction process for the scientific literature that acts as a barrier to the dissemination of articles that have serious faults or misleading data. The purpose of this study was to investigate the characteristics of retracted papers from Kazakhstan.

Methods: Utilizing data from Retraction Watch, this cross-sectional descriptive analysis documented all retracted papers from Kazakhstan without regard to publication dates. The following data were recorded: publication title, DOI number, number of authors, publication date, retraction date, source, publication type, subject category of publication, collaborating country, and retraction reason. Source index status, Scopus citation value, and Altmetric Attention Score were obtained.

Results: Following the search, a total of 92 retracted papers were discovered. One duplicate article was excluded, leaving 91 publications for analysis. Most articles were retracted in 2022 (n = 22) and 2018 (n = 19). Among the identified publications, 49 (53.9%) were research articles, 39 (42.9%) were conference papers, 2 (2.2%) were review articles, and 1 (1.1%) was a book chapter. Russia (n = 24) and China (n = 5) were the most collaborative countries in the retracted publications. Fake-biased peer review (n = 38), plagiarism (n = 25), and duplication (n = 14) were the leading causes of retraction.

Conclusion: The vast majority of the publications were research articles and conference papers. Russia was the leading collaborative country. The most prominent retraction reasons were fake-biased peer review, plagiarism, and duplication. Efforts to raise researchers' understanding of the grounds for retraction and ethical research techniques are required in Kazakhstan.

Keywords: Ethics; Kazakhstan; Peer Review; Plagiarism; Publications; Retraction of Publication; Scientific Misconduct.

MeSH terms

  • Biomedical Research*
  • Cross-Sectional Studies
  • Humans
  • Kazakhstan
  • Peer Review
  • Plagiarism
  • Publications
  • Scientific Misconduct*