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Research on major depression in China: A perspective from bibliometric analysis
Chen, Pan1,2,3; Bai, Wei1,2,3; Li, Xiao Hong4; Feng, Yuan4; Cheung, Teris5; Su, Zhaohui6; Balbuena, Lloyd7; Xiang, Yu Tao1,2,3
2022-10-15
Source PublicationJournal of Affective Disorders
ISSN0165-0327
Volume315Pages:174-181
Abstract

Background: Major depressive disorder (MDD) is a major psychiatric disorder with increasing research intensity. However, papers written in languages other than English are less accessible to international readers. This study examined the bibliometric features of English and Chinese language research papers about major depressive disorder in China. Methods: The Web of Science (WoS) and China National Knowledge Infrastructure (CNKI) databases were searched for eligible studies. Authorship collaboration networks and keyword co-occurrences were estimated and visualized. Results: There were 2,220 and 63,306 publications on MDD in the WoS and CNKI between 1990 and 2021, respectively. The number of papers increased annually during the period. For papers written in English, the Journal of Affective Disorders (201; 9.05 %) had the highest activity and the Shanghai Jiao Tong University had the most publications (232; 10.45 %). For papers in Chinese, the highest activity was with the Journal of Clinical Psychiatry (1,025; 1.62 %) and the Beijing University of Chinese Medicine (1,098; 1.73 %). Xiang YT (68; 3.06 %) and Yuan YG (179; 0.28 %) were the most productive authors in the English and Chinese languages, respectively. Keyword analysis showed that English and Chinese publications differed in emphasis (English: related psychiatric conditions, study design, clinical aspects, and assessment instruments; Chinese: somatic comorbidities, antidepressants, related psychiatric conditions, treatment of depression, and electrophysiological). Conclusions: The number of scientific papers on MDD increased yearly, and Chinese authors writing in English have an increasing influence. Except for a few authors, productivity and influence were dominated by national universities and specialized medical universities.

KeywordBibliometric Analysis China Development Trends Hotspots Major Depressive Disorder
DOI10.1016/j.jad.2022.07.046
URLView the original
Indexed BySCIE ; SSCI
Language英語English
WOS Research AreaNeurosciences & Neurology ; Psychiatry
WOS SubjectClinical Neurology ; Psychiatry
WOS IDWOS:000848145600022
Scopus ID2-s2.0-85136651250
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Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionFaculty of Health Sciences
Affiliation1.Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China
2.Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, China
3.Institute of Advanced Studies in Humanities and Social Sciences, University of Macau, Macao SAR, China
4.The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
5.School of Nursing, Hong Kong Polytechnic University, Hong Kong
6.Center on Smart and Connected Health Technologies, Mays Cancer Center, School of Nursing, UT Health San Antonio, San Antonio, United States
7.Department of Psychiatry, University of Saskatchewan, Saskatoon, Canada
First Author AffilicationFaculty of Health Sciences;  University of Macau
Recommended Citation
GB/T 7714
Chen, Pan,Bai, Wei,Li, Xiao Hong,et al. Research on major depression in China: A perspective from bibliometric analysis[J]. Journal of Affective Disorders,2022,315:174-181.
APA Chen, Pan,Bai, Wei,Li, Xiao Hong,Feng, Yuan,Cheung, Teris,Su, Zhaohui,Balbuena, Lloyd,&Xiang, Yu Tao.(2022).Research on major depression in China: A perspective from bibliometric analysis.Journal of Affective Disorders,315,174-181.
MLA Chen, Pan,et al."Research on major depression in China: A perspective from bibliometric analysis".Journal of Affective Disorders 315(2022):174-181.
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