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. 2022 Sep 16;10:939557. doi: 10.3389/fpubh.2022.939557

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Copyright © 2022 Tu, Jin, Chen, Xu, Luo and Wang.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Bibliometric 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.