A Scientometrics Analysis and Visualization of Depressive Disorder
A Scientometrics Analysis and Visualization of Depressive Disorder
Web: https://www.eurekaselect.com/node/185...
Author(s): Dong Xu, Yi-Lun Wang, Kun-Tang Wang, Yue Wang, Xin-Ran Dong, Jie Tang, Yuan-Lu Cui*
Journal Name: Current Neuropharmacology
DOI : 10.2174/1570159X18666200905151333
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.