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:: year 9, Issue 2 (11-2022) ::
CJS 2022, 9(2): 74-84 Back to browse issues page
Investigating the Effect of the Nature of Access to Articles in Retracted Them: A Case Study of Iranian Researchers' Scholarly Production
Ameneh Shenavar * , Saeed Rezaei Sharifabadi
Department of Information Science, Faculty of Education and Psychology, Alzahra University, Tehran, Iran , Shenavar87@gmail.com
Abstract:   (1302 Views)
Background and aim: Article retraction is a sustainable tool to protect the authenticity of scientific texts. The aim of this study was to compare the nature of open access and non-open access articles with the retraction rate of Iranian researchers.
Materials and methods: This applied descriptive study was carried out using scientometric indicators. The research population was the retracted articles by Iranian researchers during the period from 2000 to 2021 in the Web of Science Core Collection database (313 articles).
Findings: The number of retracted articles was 313, which has increased in recent years. However, the ratio of retracted articles to total articles has not increased. The results also showed that after the date of retraction, although the number of citations of publications with both accesses decreased, the probability of open access articles being cited after retraction was about 1.1 times that of non-open access articles.
Conclusion: Retracted open access articles are about 1.2 times more likely to be cited compared to non-open access articles.
Keywords: Retracted, Iranian articles, Open access, Non-open access
Full-Text [PDF 756 kb]   (1134 Downloads)    
Type of Study: Orginal | Subject: Scientometrics
Received: 2022/09/30 | Revised: 2023/03/4 | Accepted: 2023/03/7 | ePublished: 2023/03/12
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Shenavar A, Rezaei Sharifabadi S. Investigating the Effect of the Nature of Access to Articles in Retracted Them: A Case Study of Iranian Researchers' Scholarly Production. CJS 2022; 9 (2) :74-84
URL: http://cjs.mubabol.ac.ir/article-1-286-en.html


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year 9, Issue 2 (11-2022) Back to browse issues page
Caspian Journal of Scientometrics
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