Abstract：Objective To conduct bibliometric research on PET-CT nursing research in recent years based on co-word analysis, clarify the research hotspots and development direction in this field, and to provide reference for relevant nursing researchers. Methods Using the title “PET” + “CT” + “Nursing” as the search formula, the relevant literature in the Chinese National Knowledge Infrastructure was searched, and the search period was from the establishment of the database to January 2022. The data was exported in RefWorks format, calculated, and analyzed by CiteSpace software, and a visual knowledge map was generated by the minimum spanning tree algorithm. The graph of the total number of documents, graph of the cited network, a graph of the co-occurrence frequency of keywords, cluster analysis graph of co-authored publications, and graph of the distribution of publishing units were drew. Results From 2003 to 2021, there were 167 related literatures; the most cited monograph PET/CT Diagnostics (2008 edition) edited by Professor Pan Zhongyun. The keywords with the highest co-occurrence frequency were “subject”, “FDG (imaging agent)”, “image quality”, and other keywords; the author with the highest number of collaborative publications was Chen Wei (the First Affiliated Hospital of Third Military Medical University). The institutions with the most publications were Zibo Wanjie Hospital, Shandong Provincial Hospital, Provincial Hospital Affiliated to Anhui Medical University, and General Hospital of Jinan Military Region of the People’s Liberation Army. Conclusion At present, the research hotspots in the field of PET-CT nursing are imaging agents, subjects, nursing cooperation, image quality, and intravenous injection, which has a certain reference value for relevant nursing researchers, in order to provide better PET-CT inspection and nursing services.
马平 王亚婷 李汭虹 赵树涛▲. 基于共词分析法的PET-CT护理研究热点的文献计量学研究[J]. 中国医药导报, 2022, 19(25): 184-188.
MA Ping WANG Yating LI Ruihong ZHAO Shutao▲. Bibliometric study of PET-CT nursing research hotspots based on co-word analysis. 中国医药导报, 2022, 19(25): 184-188.
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