Title:A Scientometrics Analysis and Visualization of Depressive Disorder
Volume: 19
Issue: 6
Author(s): Dong Xu, Yi-Lun Wang, Kun-Tang Wang, Yue Wang, Xin-Ran Dong, Jie Tang and Yuan-Lu Cui*
Affiliation:
- Research Center of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617,China
Keywords:
Scientometrics analysis, visualization, depressive disorder, citespace, VOSviewer, depression, depressive disorder.
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.
