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Bibliometrics analysis of applied nursing personnel training in China
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作者 Ping Xu Ming-Jin Li Xiang-Shu Cui 《Nursing Communications》 2022年第1期132-140,共9页
Objective:To make a visual analysis of literature metrology on the training of applied nursing talents in China,to clarify the research hotspots and development trends,and to provide basic information for the educatio... Objective:To make a visual analysis of literature metrology on the training of applied nursing talents in China,to clarify the research hotspots and development trends,and to provide basic information for the education and teaching reform of applied nursing talents in China.Methods:The literature related to the training of applied nursing talents in China was retrieved from CNKI,Wanfang,Weipu database.NoteExpress was used for removing duplicates,and Bicomb2.0 was used to extract key fields and generate word matrix,which was imported into gCluto1.0 for double cluster analysis.Results:Finally,675 articles met the inclusion and exclusion criteria,the number of articles is increasing yearly.39 high-frequency keywords,such as practice teaching and 9 core authors such as Song Mei are extracted.The results of double cluster analysis showed that the research topics included five aspects:nursing education reform;training of applied nursing talents at different levels;quality of practical teaching;practice teaching reform and laboratory management;application-oriented nursing personnel training mode.Conclusion:The reform and practice of application-oriented nursing talents training in our country are developing continuously,and has gradually received great attention from universities,the local governments and national government departments.The research focuses on the reform of training mode of applied nursing talents at different levels,practice teaching reform,laboratory management and other aspects,which can provide a reference for the reform and practice of applied nursing talents training in China. 展开更多
关键词 applied nursing talents visual analysis double clustering literature metrology
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