移动健康应用的主题趋势与知识结构:卡塔尔世界杯8强波胆分析[A Peng,Cheng %A He,Miao %A Cutrona,Sarah L %A Kiefe,Catarina I %A Liu, fei凡%A Wang,Zhongqing]]中国医科大学第一医院信息中心科,沈阳南京金北大街155号,86 15940082159;wangzhongqing@cmu.edu.cn %K移动应用程序%K移动健康%K数字健康%K数字医疗%K文献计量学%K共词分析%K手机%K VOSviewer %D 2020 %7 27.7.2020 %9原文JMIR移动健康Uhealth英文%X背景:由于手机的广泛和前所未有的普及,数字医疗和移动健康应用程序的使用出现了显着增长。移动健康应用程序在监测和治疗疾病、改善患者护理和促进健康方面具有巨大潜力。目的:探讨移动健康app研究的研究趋势、合作网络及研究热点。方法:在没有语言限制的情况下,从Web of Science数据库中检索和提取与移动健康应用相关的出版物。使用书目项目共现矩阵生成器提取书目信息(出版年份和期刊来源)并进行描述性分析。然后利用VOSviewer (Leiden University)工具构建并可视化研究人员、研究机构、国家/地区、引文和关键词的共现网络。结果:我们检索了2000 - 2019年发表的移动健康应用研究论文2802篇。在过去19年中,年度出版物的数量有所增加。 JMIR mHealth and uHealth (323/2802, 11.53%), Journal of Medical Internet Research (106/2802, 3.78%), and JMIR Research Protocols (82/2802, 2.93%) were the most common journals for these publications. The United States (1186/2802, 42.33%), England (235/2802, 8.39%), Australia (215/2802, 7.67%), and Canada (112/2802, 4.00%) were the most productive countries of origin. The University of California San Francisco, the University of Washington, and the University of Toronto were the most productive institutions. As for the authors’ contributions, Schnall R, Kuhn E, Lopez-Coronado M, and Kim J were the most active researchers. The co-occurrence cluster analysis of the top 100 keywords forms 5 clusters: (1) the technology and system development of mobile health apps; (2) mobile health apps for mental health; (3) mobile health apps in telemedicine, chronic disease, and medication adherence management; (4) mobile health apps in health behavior and health promotion; and (5) mobile health apps in disease prevention via the internet. Conclusions: We summarize the recent advances in mobile health app research and shed light on their research frontier, trends, and hot topics through bibliometric analysis and network visualization. These findings may provide valuable guidance on future research directions and perspectives in this rapidly developing field. %M 32716312 %R 10.2196/18212 %U https://mhealth.www.mybigtv.com/2020/7/e18212 %U https://doi.org/10.2196/18212 %U http://www.ncbi.nlm.nih.gov/pubmed/32716312
Baidu
map