Bibliometric analysis of Chinese literature on senile frailty published in the last 10 years based on CiteSpace
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(Department of Cardiology, Second Medical Center, Chinese PLA General Hospital, Beijing 100853, China)

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R592

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    Abstract:

    Objective To analyze the current situation and research trends in the field of frailty in the elderly in China in the past 10 years. Methods The CNKI database in the period from 2010 to 2019 was searched for articles indexed about senile frailty, with “‘old’ OR ‘aged’ OR ‘senile’ AND ‘frailty’”used as search term, and there were 323 articles retrieved. The scientific metrology tools, CiteSpace and Excel 2016, were used to make visual analysis of the volume of papers, authors, research institutions, and journals, and to map scientific knowledge in the field of senile frailty in China. Results From 2017, the number of related papers was increased rapidly. A total of 828 authors were involved, and 2 of them had published ≥10 articles, accounting for 0.24%(2/828). And there were 211 research institutions involved, and only 7 of them had >6 papers. Furthermore, the cooperation was mainly between medical universities and their affiliated hospitals. The results of the Keywords clustering analysis showed that Q=0.6621, with statistically significant clustering (Q>0.3). And in homogeneity, 10 clusters were highly credible (all S>0.7). Meanwhile, we summarized 4 hotspots in the field by analyzing the Keywords in each cluster, that is, epidemiological investigation, assessment, cognition and intervention measures for senile frailty. Conclusion The quantity and quality of literature concerning senile frailty in China should be improved. The results of clustering analysis should be taken as the research hotspot, cooperation in basic and clinical research be strengthened, and horizontal and vertical development in the field be deepened in order to form a research force for senile frailty.

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History
  • Received:March 23,2020
  • Revised:
  • Adopted:
  • Online: January 04,2021
  • Published: