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Global research pattern of cognitive distortion: a bibliometric analysis

Zaiden, Fauziah and Mahfar, Mastura and Amat Senin, Aslan and Mohd. Fakhruddin, Faizah (2023) Global research pattern of cognitive distortion: a bibliometric analysis. SAGE Open, 13 (4). pp. 1-19. ISSN 2158-2440

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Official URL: http://dx.doi.org/10.1177/21582440231219658

Abstract

Research on the concept of cognitive distortion has increased from year to year, especially in the areas of mental health and emotional disorders such as depression, anxiety disorder, stress disorder, and others. Therefore, it is necessary to understand the topic of interest and establish a network of cooperation to expand research toward integrated efforts. Bibliometric analysis was performed using Bibliometrix and Biblioshiny software packages on academic articles indexed on the Scopus and Web of Science (WoS) databases. Search criteria were applied, initially resulting in a total of 1,834 articles published between 1950 and 2021. The study pattern focuses on publication output, affiliated countries, co-authors, and the occurrence of author keywords. The findings of this study provide an overview of notable topics in cognitive distortion analytics through a quantitative analysis featuring tables, graphs, and maps. It also identifies the key performance indicators to produce articles and their citations. Studies show an increase in this field globally, especially since 2008 onwards. The data reveals that publications from the United States, United Kingdom, and Canada accounted for more than 50% of total number of publications in this field. This study indicates a global research pattern related to cognitive distortion, which may be useful for researchers, individuals, or policymakers to harness the existing potential and create opportunities for future research development.

Item Type:Article
Uncontrolled Keywords:bibliometric analysis, cognitive distortion, global research, Scopus database, Web of Science database
Subjects:H Social Sciences > H Social Sciences (General)
Divisions:Management
ID Code:106722
Deposited By: Yanti Mohd Shah
Deposited On:28 Jul 2024 06:06
Last Modified:28 Jul 2024 06:06

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