Knowledge domain and emerging trends in Alzheimer's disease: a scientometric review based on CiteSpace analysis

Alzheimer's disease is the most common cause of dementia. It is an increasingly serious global health problem and has a significant impact on individuals and society. However, the precise cause of Alzheimer's disease is still unknown. In this study, 11,748 Web-of-Science-indexed manuscript...

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Published inNeural regeneration research Vol. 14; no. 9; pp. 1643 - 1650
Main Authors Liu, Shuo, Sun, Ya-Ping, Gao, Xu-Ling, Sui, Yi
Format Journal Article
LanguageEnglish
Published India Wolters Kluwer India Pvt. Ltd 01.09.2019
Medknow Publications and Media Pvt. Ltd
Medknow Publications & Media Pvt. Ltd
The Fourth People’s Hospital of Shenyang, Shenyang, Liaoning Province, China%The First People’s Hospital of Shenyang, Shenyang, Liaoning Province, China
Wolters Kluwer - Medknow
Wolters Kluwer Medknow Publications
Subjects
Age
Alzheimer's disease
Analysis
Anopheles
Bibliometrics
Citations
Cognitive ability
Dementia
Diagnosis
Disease
Hirsch index
Mutation
nerve regeneration; Alzheimer′s disease; neuroprotection; mapping knowledge domain; Web of Science; CiteSpace; neural regeneration
Nervous system
Neurophysiology
Neurosciences
Pathogenesis
Prevalence studies (Epidemiology)
Proteins
Psychiatrists
Science
Scientometrics
Signal transduction
Software
Trends
Visualization
World health
Web of Science
neural regeneration
neuroprotection
mapping knowledge domain
CiteSpace
nerve regeneration
Alzheimer's disease
Alzheimer’s disease
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Summary:Alzheimer's disease is the most common cause of dementia. It is an increasingly serious global health problem and has a significant impact on individuals and society. However, the precise cause of Alzheimer's disease is still unknown. In this study, 11,748 Web-of-Science-indexed manuscripts regarding Alzheimer's disease, all published from 2015 to 2019, and their 693,938 references were analyzed. A document co-citation network map was drawn using CiteSpace software. Research frontiers and development trends were determined by retrieving subject headings with apparent changing word frequency trends, which can be used to forecast future research developments in Alzheimer's disease.
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Author contributions: Conception and design of the work: YS; acquisition, analysis, interpretation of the data, drafting of manuscript: SL, YPS, XLG. All authors approved the final version of the paper.
ISSN:1673-5374
1876-7958
DOI:10.4103/1673-5374.255995