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Updated: Oct 25, 2025
Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
Bibliometric analysis of multiple sclerosis nursing research based on Web of Science
Lichao Yang1, Shuangyan Tu1, Ling Feng1
1Department of Neurology, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China.
Background:
A bibliometric analysis which are widely used to gauge the scholarly impact of any scientific publication was conducted to give a basic overview of research publications on multiple sclerosis nursing.
Methods:
Publications on multiple sclerosis nursing were retrieved by using a bibliometric method based on the Web of Science database [1900-2018].
Results:
A total of 825 papers collected from 49 countries were retrieved in this study. The number of publications on multiple sclerosis nursing has increased steadily since 1999, and the top 12 research institutions publishing articles and nine of the ten most prolific authors were from the United States. Articles were most frequently published in the Journal of Neuroscience Nursing, and the key words of the top 10 highly cited papers changed from quality of life (QOL) and symptoms to terms including social support, psychological problems, rehabilitation treatment, cognitive impairment, and nursing intervention. While nursing practice and neuroscience nursing were the focus of research, other topics included QOL, functional rehabilitation, symptom management, nursing intervention, and support schemes.
Conclusions:
Research into multiple sclerosis nursing in China is at an early stage. Greater attention to the research focus and results of top institutions and core journals, and a focus on highly cited papers are needed to advance the field.
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