Abstract：Objective To explore the hotspots and trends of poststroke depression in the field of traditional Chinese medicine (TCM) based on CiteSpace software. Methods The literatures on poststroke depression in the field of the TCM collected from January 2002 to April 2021 was selected as the research subjects by CNKI database. The trend of the published articles, the cooperation status of authors, the institutions, the key words were analyzed respectively and the corresponding knowledge maps were drawn. Finally, visualization analysis results combined with manual retrieval were discussed in depth. Results A total of 1767 articles were included, and the annual number of published articles showed an upward trend. Through quantitative analysis, high-yield literature institutions and representative researchers and their teams were found. Research hotspots and trends were TCM emotional nursing, acupuncture and molecular biology, etc. The application of data mining technology in the field of TCM was also the mainstream of current research. Conclusion The maps initially and visually show the development trend of TCM, and reveal the research hotspots. They show the research overview of TCM on poststroke depression more intuitively, and form a general understanding of research hotspots and frontiers, and provide reference for determining the research direction.
莫雪妮 傅小红 吴多 张月 蓝百鑫 刘姣 刘娜 马威▲. 基于CiteSpace可视化分析中医药领域中风后抑郁症研究热点和趋势[J]. 中国医药导报, 2021, 18(34): 12-17.
MO Xueni FU Xiaohong WU Duo ZHANG Yue LAN Baixin LIU Jiao LIU Na MA Wei▲. Visualization analysis of research hotspots and trends of poststroke depression in the field of traditional Chinese medicine based on CiteSpace#br#. 中国医药导报, 2021, 18(34): 12-17.
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