Major depressive disease research in BRICS: A bibliometric analysis of publications from 2003 to 2022

中国 普通合伙企业 科学网 重性抑郁障碍 文献计量学 政治学 地理 经济增长 医学 认知 精神科 梅德林 图书馆学 经济 计算机科学 法学
作者
Zuokun Liu,Zhichao Zhou,Jiyan Ma,J. Q. Dong,Yinuo Sun,Mingfan Pang,Yangmu Huang
出处
期刊:Asian Journal of Psychiatry [Elsevier]
卷期号:92: 103900-103900
标识
DOI:10.1016/j.ajp.2023.103900
摘要

Major depressive disorder (MDD) seriously threatens human health. BRICS, known as an acronym for "Brazil, Russia, India, China, and South Africa," were also actively carrying out researches on MDD. This study aimed to conduct a bibliometric study of research on MDD conducted by the BRICS. By searching in the Web of Science and using the software Vosviewer and Citespace as analysis tools, this study analyzed the cooperation network at the country, institution, author-specific levels, the research hotspots and trends from BRICS between 2003-2022. A total of 10,911 articles were finally included. Our findings showed that researches on MDD from BRICS rapidly increased during the past two decades. China and India have shown explosive growth, while South Africa has the largest average "Usage Count" and "Time Cited". The current cooperation partners of the BRICS were mainly high-income countries and other developing countries with similar cultures, languages, and geographical locations. Institutions in high-income countries served as the main bridges for BRICS cooperation, while at the author level, some core authors in the BRICS countries serve as centers. China showed a flexible model in domestic partnership, but institutions and authors in the other four countries have gathered to cooperate within the group. BRICS research on MDD mainly focused on cognitive science, brain science, epidemiology, and disease mechanisms. The keywords"gut microbiota", "network analysis," "machine learning" and "sleep quality" showed explosive growth and might become research hotspots in the near future. This bibliometric analysis provided a science knowledge graph and references for other researchers.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
猫刀完成签到,获得积分10
1秒前
Perrylin718发布了新的文献求助10
1秒前
1秒前
专注翠霜完成签到,获得积分10
2秒前
fdtrdtrd完成签到 ,获得积分10
2秒前
chiyudoubao发布了新的文献求助10
2秒前
3秒前
12138发布了新的文献求助10
3秒前
科目三应助erniu采纳,获得10
3秒前
fedehe完成签到 ,获得积分10
4秒前
4秒前
Queen完成签到,获得积分10
4秒前
峻萱完成签到 ,获得积分10
4秒前
zwli发布了新的文献求助10
5秒前
刻苦的念寒完成签到,获得积分10
5秒前
酷波er应助sschen采纳,获得10
5秒前
xol完成签到 ,获得积分10
6秒前
123完成签到,获得积分20
6秒前
zkkk发布了新的文献求助10
7秒前
7秒前
hcdb发布了新的文献求助10
7秒前
猫猫的好运气完成签到,获得积分10
7秒前
pp发布了新的文献求助10
8秒前
MH159发布了新的文献求助10
8秒前
9秒前
9秒前
Queen发布了新的文献求助50
9秒前
9秒前
9秒前
wssf756应助ang采纳,获得10
9秒前
朴素的晓灵完成签到,获得积分10
10秒前
搜集达人应助fan采纳,获得10
10秒前
nihao完成签到,获得积分10
10秒前
小马甲应助niyl采纳,获得10
10秒前
寻道图强应助fdtrdtrd采纳,获得60
11秒前
专注的筝完成签到 ,获得积分10
11秒前
12秒前
Ava应助陨落的繁星采纳,获得10
12秒前
灯火发布了新的文献求助10
12秒前
13秒前
高分求助中
Impact of Mitophagy-Related Genes on the Diagnosis and Development of Esophageal Squamous Cell Carcinoma via Single-Cell RNA-seq Analysis and Machine Learning Algorithms 1600
Exploring Mitochondrial Autophagy Dysregulation in Osteosarcoma: Its Implications for Prognosis and Targeted Therapy 1500
LNG地下式貯槽指針(JGA指-107) 1000
QMS18Ed2 | process management. 2nd ed 600
LNG as a marine fuel—Safety and Operational Guidelines - Bunkering 560
Clinical Interviewing, 7th ed 400
Functional Syntax Handbook: Analyzing English at the Level of Form 400
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 免疫学 细胞生物学 电极
热门帖子
关注 科研通微信公众号,转发送积分 2941494
求助须知:如何正确求助?哪些是违规求助? 2600401
关于积分的说明 7001949
捐赠科研通 2241676
什么是DOI,文献DOI怎么找? 1189879
版权声明 590236
科研通“疑难数据库(出版商)”最低求助积分说明 582537