@Article{info:doi/10.2196/18212，作者=“Peng, Cheng and He, Miao and Cutrona, Sarah L and Kiefe, Catarina I and Liu, Feifan and Wang Zhongqing”，标题=“移动健康应用的主题趋势和知识结构:文献计量分析”，期刊=“JMIR Mhealth Uhealth”，年=“2020”，月=“7”，日=“27”，卷=“8”，号=“7”，页=“e18212”，关键词=“移动应用”;移动健康;移动健康;数字健康;数字医学;文献计量学;co-word分析;移动电话;VOSviewer”，摘要=“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。 Objective: This paper aims to explore research trends, coauthorship networks, and the research hot spots of mobile health app research. Methods: Publications related to mobile health apps were retrieved and extracted from the Web of Science database with no language restrictions. Bibliographic Item Co-Occurrence Matrix Builder was employed to extract bibliographic information (publication year and journal source) and perform a descriptive analysis. We then used the VOSviewer (Leiden University) tool to construct and visualize the co-occurrence networks of researchers, research institutions, countries/regions, citations, and keywords. Results: We retrieved 2802 research papers on mobile health apps published from 2000 to 2019. The number of annual publications increased over the past 19 years. 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. ", issn="2291-5222", doi="10.2196/18212", url="https://mhealth.www.mybigtv.com/2020/7/e18212", url="https://doi.org/10.2196/18212", url="http://www.ncbi.nlm.nih.gov/pubmed/32716312" }