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A Scientometrics Analysis and Visualization of Depressive Disorder.

Authors :
Xu D
Wang YL
Wang KT
Wang Y
Dong XR
Tang J
Cui YL
Source :
Current neuropharmacology [Curr Neuropharmacol] 2021; Vol. 19 (6), pp. 766-786.
Publication Year :
2021

Abstract

Multiple studies on the pathomechanisms of depressive disorder and antidepressants have been reported. However, literature involving scientometric analysis of depressive disorder is sparse. Here, we use scientometric analysis and a historical review to highlight recent research on depression. We use the former to examine research on depressive disorders from 1998 to 2018. The latter is used to identify the most frequent keywords in keyword analysis, as well as explore hotspots and depression trends. Scientometric analysis uncovered field distribution, knowledge structure, research topic evolution, and topics emergence as main explorations in depressive disorder. Induction factor, comorbidity, pathogenesis, therapy and animal models of depression help illustrate occurrence, development and treatment of depressive disorder. Scientometric analysis found 231,270 research papers on depression, a 4-fold increase over the last 20 years. These findings offer a vigorous roadmap for further studies in this field.<br /> (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

Details

Language :
English
ISSN :
1875-6190
Volume :
19
Issue :
6
Database :
MEDLINE
Journal :
Current neuropharmacology
Publication Type :
Academic Journal
Accession number :
32888272
Full Text :
https://doi.org/10.2174/1570159X18666200905151333