| Literature DB >> 36187699 |
Si-Jing Tu1,2, Chen Jin1, Bu-Tong Chen3, An-Ying Xu4, Chao Luo5, Xiao-He Wang1.
Abstract
Objective: To analyze the research hot spots and frontiers of studies on of the fusion of sports and medicine (FSM) in China in recent decade via CiteSpace.Entities:
Keywords: CiteSpace; bibliometric analysis; data visualization; fusion of sports and medicine; health policy
Mesh:
Year: 2022 PMID: 36187699 PMCID: PMC9523407 DOI: 10.3389/fpubh.2022.939557
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Figure 1The number of publications on fusion of sports and medicine in China from 2012 to 2021.
Discipline distributions of publications on the fusion of sports and medicine in China between 2012 and 2021 [n (%)].
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| 1 | Sports | 359 (50.78) |
| 2 | Study of medical and health policies and laws and regulations | 217 (30.69) |
| 3 | Medical education and medical fringe disciplines | 38 (5.37) |
| 4 | Special medicine | 21 (2.97) |
| 5 | Higher education | 21 (2.97) |
| 6 | Chinese politics and international politics | 12 (1.70) |
| 7 | Secondary education | 11 (1.56) |
| 8 | Traditional Chinese medicine | 10 (1.42) |
| 9 | Endocrine gland and systemic diseases | 9 (1.27) |
| 10 | Clinical medicine | 9 (1.27) |
Figure 2Bibliometric analysis of the institutions of publications on fusion of sports and medicine in China from 2012 to 2021. Each node represents a institution, the bigger the node the institution had more publications. The line indicated the relationship between institutions, the thicker the closer relationship, the lighter the later cooperation were formed. The English was translated from the original figure yielded by CiteSpace.
The top five journals with the highest frequency and impact factors of fusion of sports and medicine.
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| 1 | Contemporary Sports Technology | 70 | 143 | 0.202 | China Sport Science | 8 | 587 | 6.468 |
| 2 | Science & Technology of | 40 | 39 | / | Sports Culture Guide | 30 | 340 | 3.098 |
| 3 | Sports Culture Guide | 30 | 340 | 3.098 | Journal of Wuhan Institute of | 10 | 166 | 2.917 |
| 4 | Bulletin of Sport Science & Technology | 26 | 67 | 0.395 | Journal of Beijing Sport University | 8 | 138 | 2.896 |
| 5 | Sport Science and Technology | 21 | 81 | 0.361 | Journal of Chengdu Sport University | 5 | 141 | 2.458 |
The authors of fusion of sports and medicine with more than five publications between 2012 and 2022.
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| 1 | Guo Jian-Jun | 12 | 224 | 2016 |
| 2 | Huang Yue | 8 | 51 | 2018 |
| 3 | Wu Ya-Ting | 8 | 51 | 2018 |
| 4 | Mo Yi | 7 | 42 | 2016 |
| 5 | Han Lei-Lei | 6 | 190 | 2018 |
| 6 | Qiu Jun | 6 | 44 | 2020 |
| 7 | Wang Shi-Qiang | 6 | 57 | 2019 |
| 8 | Xu Gui-Lan | 6 | 9 | 2020 |
Figure 3Bibliometric analysis of the authors of publications on fusion of sports and medicine in China from 2012 to 2021. Each node represents an author, the bigger the node the author had more publications. The line indicated the relationship between authors, the thicker the closer relationship, the lighter the later relationship were formed. The English was translated from the original figure yielded by CiteSpace.
The top 10 keywords of fusion of sports and medicine.
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| 1 | 269 | Fusion of sports and medicine | 0.97 | National fitness |
| 2 | 191 | Integration of sports and medicine | 0.78 | Integration of sports and medicine |
| 3 | 126 | Healthy China | 0.43 | Sports power |
| 4 | 62 | National fitness | 0.42 | Public service |
| 5 | 32 | Exercise prescrip tion | 0.39 | Healthcare |
| 6 | 29 | Medial universities or colleges | 0.38 | Healthy China |
| 7 | 28 | Health promotion | 0.33 | Fusion of sports and medicine |
| 8 | 22 | National health | 0.32 | Community |
| 9 | 22 | Sports | 0.31 | Sports industry |
| 10 | 20 | Pathway | 0.30 | Big health |
Figure 4Bibliometric analysis of the keywords. (A) The network map of keywords from publications on fusion of sports and medicine in China; (B) A timeline view of the network map of keywords; (C) The 15 keyword clusters produced by log-likelihood ratio; (D) Top 10 keywords with the strongest citation bursts. Each node represents a keyword, the bigger the node the keyword had more appearance in publications, the node with purple trims indicated a high betweenness centrality. The line indicated the relationship between keywords, the thicker the closer relationship, the lighter the later relationship were formed. The English was translated from the original figure yielded by CiteSpace.