清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

Emerging trends in gene and bipolar disorder research: a bibliometric analysis and network visualisation

双相情感障碍 斯科普斯 文献计量学 心理健康 精神遗传学 图书馆学 精神科 心理学 梅德林 政治学 心情 计算机科学 精神分裂症(面向对象编程) 法学
作者
Wan Nur Amalina Zakaria,Adi Wijaya,Badriya Al-Rahbi,Asma Hayati Ahmad,Rahimah Zakaria,Zahiruddin Othman
出处
期刊:Psychiatric Genetics [Lippincott Williams & Wilkins]
卷期号:33 (3): 102-112 被引量:2
标识
DOI:10.1097/ypg.0000000000000338
摘要

This study aims to use a bibliometric technique to evaluate the scientific output of gene and bipolar disorder research. The search query related to gene and bipolar disorder from the Scopus database identified 1848 documents from 1951 to 2020. The growth in the publications increased since early 1990, peaked in 2011, and started to decline thereafter. High occurrence in author keywords suggests that some research topics, such as “polymorphism”, “linkage” and “association study” have waned over time, whereas others, such as “DNA methylation,” “circadian rhythm,” “” and “meta-analysis,” are now the emerging trends in gene and bipolar disorder research. The USA was the country with the highest production followed by the UK, Canada, Italy and Germany. The leading institutions were Cardiff University in the UK, the National Institute of Mental Health (NIMH) in the USA, King’s College London in the UK and the University of California, San Diego in the USA. The leading journals publishing gene and bipolar literature were the American Journal of Medical Genetics Neuropsychiatric Genetics, Molecular Psychiatry and Psychiatric Genetics. The top authors in the number of publications were Craddock N, Serretti A and Rietschel M. According to the co-authorship network analysis of authors, the majority of the authors in the same clusters were closely linked together and originated from the same or neighbouring country. The findings of this study may be useful in identifying emerging topics for future research and promoting research collaboration in the field of genetic studies related to bipolar disorder.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
Emad0gh发布了新的文献求助10
刚刚
1437594843完成签到 ,获得积分10
2秒前
6秒前
Hello应助子车半烟采纳,获得10
6秒前
Leo完成签到 ,获得积分10
7秒前
9秒前
肖果完成签到 ,获得积分10
13秒前
薛定谔的猫完成签到,获得积分10
24秒前
fishss完成签到 ,获得积分10
28秒前
40秒前
个性归尘应助噼里啪啦采纳,获得50
41秒前
43秒前
子车半烟发布了新的文献求助10
45秒前
46秒前
子车半烟完成签到,获得积分10
54秒前
思源应助啊咧采纳,获得10
1分钟前
1分钟前
啊咧发布了新的文献求助10
1分钟前
光合作用完成签到,获得积分10
1分钟前
1分钟前
cadcae完成签到,获得积分10
1分钟前
搜集达人应助科研通管家采纳,获得10
1分钟前
Tina酱完成签到 ,获得积分10
1分钟前
搜集达人应助啊咧采纳,获得10
1分钟前
Sunsheng完成签到,获得积分10
1分钟前
Owen应助冷傲半邪采纳,获得30
2分钟前
李健应助不够萌采纳,获得10
2分钟前
Li完成签到,获得积分10
2分钟前
Milo完成签到,获得积分10
2分钟前
xun完成签到,获得积分20
2分钟前
木子草甜完成签到,获得积分10
2分钟前
2分钟前
刘刘完成签到 ,获得积分10
2分钟前
Nikola完成签到 ,获得积分10
2分钟前
2分钟前
啊咧发布了新的文献求助10
2分钟前
2分钟前
2分钟前
烟花应助啊咧采纳,获得10
3分钟前
目标发nature完成签到,获得积分10
3分钟前
高分求助中
Worked Bone, Antler, Ivory, and Keratinous Materials 1000
Algorithmic Mathematics in Machine Learning 500
Разработка метода ускоренного контроля качества электрохромных устройств 500
建筑材料检测与应用 370
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
Advances in Underwater Acoustics, Structural Acoustics, and Computational Methodologies 300
The Monocyte-to-HDL ratio (MHR) as a prognostic and diagnostic biomarker in Acute Ischemic Stroke: A systematic review with meta-analysis (P9-14.010) 240
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3830505
求助须知:如何正确求助?哪些是违规求助? 3372812
关于积分的说明 10475456
捐赠科研通 3092626
什么是DOI,文献DOI怎么找? 1702226
邀请新用户注册赠送积分活动 818828
科研通“疑难数据库(出版商)”最低求助积分说明 771101