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. 2021 Jul 12;12:717192. doi: 10.3389/fphar.2021.717192

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Copyright © 2021 Wu, Zhou, Wang, Tong, Wang, Song, Xu, Liu, Yan and Sun.

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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(A) Network visualization map of keyword co-occurrence analysis using VOS viewer. All keywords are labeled. The size of the node reflects the occurrence frequency of a certain keyword. The larger the size of the node is, the more frequently the keyword co-occurs. VOS viewer marks keywords with different colors, and the color of the nodes and labels indicates the cluster in which they belong to. Closely related keywords are grouped into one cluster with the same color. The higher the quantity of co-occurrences of two keywords, the closer will they be located in the network. (B) Overlay visualization map of keyword co-occurrence analysis. The meanings of the node and label in this map are the same as in Figure 10A. However, the color of each node in this map indicates the AAY of the keyword in the article according to the color gradient in the lower right corner.