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. 2023 Sep 26;14:1266721. doi: 10.3389/fendo.2023.1266721

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Copyright © 2023 Guo, Pan, Su, Huang, Zhou, Huang and Tian

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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Multi-network visualized study of countries and affiliations. (A) Hierarchical clustering analysis classifies the countries into five clusters based on the total linkage strength. Cluster 1: Red; Cluster 2: Green; Cluster 3: Blue; Cluster 4: Yellow; Cluster 5: Purple. (B) Timeline distribution of cluster analysis of the countries. Purple nodes indicate an earlier appearance while yellow nodes indicate a later appearance. (C) Visualized publication density among the countries. (D) Visualized citation density among the countries. (E) Hierarchical cluster analysis classifies the affiliations into five clusters based on the total linkage strength. Cluster 1: Red; Cluster 2: Green; Cluster 3: Blue; Cluster 4: Yellow; Cluster 5: Purple. (F) Timeline distribution of cluster analysis of the affiliations. Purple nodes indicate an earlier appearance while yellow nodes indicate a later appearance. (G) Visualized publication density among the affiliations. (H) Visualized citation density among the affiliations.