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find Keyword "Visualization analysis" 4 results
  • Bibliometrics and visualization analysis of the domestic research of chronic stable angina in recent 15 years: based on CiteSpace software

    ObjectivesTo explore the current situation, hotspots and trends of research on chronic stable angina pectoris in recent 15 years in China, based on bibliometrics, co-occurrence analysis, cluster analysis and visualization analysis.MethodsUsing CNKI database as the source of literature, we collected the related research of chronic stable angina from 2004 to 2018. Citespace software was used to conduct co-occurrence analysis with authors, institutions and keywords as nodes, cluster analysis, time evolution analysis and Burst analysis of keywords, and corresponding visualization maps were drawn and analyzed.ResultsA total of 4 329 related literatures were retrieved, with analysis showing that the focus of research on chronic stable angina pectoris had been developing steadily in recent years, in which the outstanding contribution was represented by Yang guanlin, Liaoning University of Traditional Chinese Medicine and its affiliated hospital. Research hotspots and frontiers had been mainly focused on angina pectoris, coronary heart disease, trimetazidine, clinical research and other aspects.ConclusionsCiteSpace is used to analyze researches on chronic stable angina pectoris published on Chinese journals from full-text databases in recent 15 years, while intuitively represent the general situation of researches on chronic stable angina pectoris in the past 15 years, preliminarily revealing the cooperative researchers and institutions, forming a general understanding of its research hotspots, frontiers and research trends, and providing a reference for the future development direction.

    Release date:2020-06-18 09:20 Export PDF Favorites Scan
  • Bibliometric analysis of studies on medical research integrity in China

    Objective To analyze the hot topics and trends of medical research integrity in China and to provide references for future studies. Methods The CNKI, WanFang Data and VIP databases were searched from inception to December 2021. Data on the number of publications, journals, institutions, authors, keywords, and emergent themes were analyzed using bibliometric methods and CiteSpace software. Results A total of 324 studies were included. The results showed that the number of publications increased annually, and "Chinese Journal of Medical Science Research Management" and Peking University were the journal and institution with the most publications, respectively. The three most prolific authors published five studies each, and the publications were mainly concerned with identifying and preventing issues, in addition to education regarding medical research integrity. Conclusion Medical research integrity in China has attracted significant attention. Several leading journals in this research field have emerged; however, there is no clearly dominant research team. The depth and breadth of the research remain to be improved. It is suggested that researchers focus on the effectiveness of strategies for preventing issues, promoting the establishment of the lifelong education system and improving related rules and regulations to advance the development of medical research integrity in China.

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  • Visualization analysis of domestic hospital research management research

    Objective To analyze the research hotspots and development trends of hospital scientific research management in China, and to provide references for the innovation and development of hospital scientific research management in China. Methods The CNKI database was electronically searched to collect relevant research on scientific research management of domestic hospitals from January 1981 to September 2022. Bibliometrics and CiteSpace software were used for analyze. Results A total of 2 688 articles were included. The trend of publishing hospital scientific research management literature showed four peaks. The institution with the most publications was Peking University People's Hospital. Six authors published more than 15 articles. The most concerned was clinical research. Public hospitals, scientific research projects, and refined management were the latest emerging words. Conclusion The scientific research management of hospitals in China has formed an academic exchange group, but the core author group is small, and there is a lack of cross-institutional cooperation. The innovation mode of scientific research management shows a good development trend, the quantitative index system of scientific research evaluation at all levels is gradually improved, the ability to identify the potential of scientific research talent has been improved, and the cultivation of scientific research management teams needs to be strengthened.

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  • The application of artificial intelligence technology in intensive care medicine in the last ten years: a visualization analysis

    Objective To analyze the hot spot and future application trend of artificial intelligence technology in the field of intensive care medicine. Methods The CNKI, WanFang Data, VIP and Web of Science core collection databases were electronically searched to collect the related literature about the application of artificial intelligence in the field of critical medicine from January 1, 2013 to December 31, 2022. Bibliometrics was used to visually analyze the author, country, research institution, co-cited literature and key words. Results A total of 986 Chinese articles and 4 016 English articles were included. The number of articles published had increased year by year in the past decade, and the top three countries in English literature were China, the United States and Germany. The predictive model and machine learning were the most frequent key words in Chinese and English literature, respectively. Predicting disease progression, mortality and prognosis were the research focus of artificial intelligence in the field of critical medicine. ConclusionThe application of artificial intelligence in the field of critical medicine is on the rise, and the research hotspots are mainly related to monitoring, predicting disease progression, mortality, disease prognosis and the classification of disease phenotypes or subtypes.

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