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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
Exploring reminiscence therapy: A bibliometric and visual analysis.
Shan Wang1, Xue-Min Li2, Jie-Ting Jiang3
1School of Nursing, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
Bibliometric analysis of reminiscence therapy reveals its growing academic focus and potential for improving psychological well-being in the elderly, particularly for dementia and depression.
Area of Science:
- Bibliometrics
- Information Science
- Psychology
- Gerontology
Background:
- Reminiscence therapy is a psychological intervention.
- Its application and evolution require systematic investigation.
Purpose of the Study:
- To map the landscape of reminiscence therapy research using bibliometric and visual analyses.
- To identify key trends, influential works, and research networks.
- To guide future research and clinical practice in reminiscence therapy.
Main Methods:
- Bibliometric analysis of 1079 English-language articles from the Web of Science Core Collection.
- Utilized HistCite, VOSviewer, and Citespace for citation and network analysis.
- Examined publication output, country, institutional, and author contributions.
Main Results:
- The study analyzed 1079 publications from 53 countries, involving 1445 institutions and 3544 authors across 434 journals.
- The United States was a major contributor, with the University of Twente and researchers Westerhof and Bohlmeijer noted as key.
- Network analysis identified core themes: reminiscence therapy, dementia, depression, and the elderly.
Conclusions:
- Evidence suggests a rising academic interest in reminiscence therapy.
- Reminiscence therapy shows significant potential for enhancing psychological well-being.
- The findings support its future application in mental health care initiatives for older adults.
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