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. 2022 Mar 11;13:817620. doi: 10.3389/fendo.2022.817620

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Copyright © 2022 Liu, Wang, Qin, Jin, Jin, Gu and Mu

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) The co-occurrence network of the most frequently occurred 40 keywords in field of GWAS in diabetes. Node size refers to number of frequency. (B) Timeline view of cluster for keywords co-occurrence in pathfinder pruning. Each cluster is named by most frequently occurred keyword. The clusters were arranged vertically in the descending order of their size (the smallest number refers to the largest cluster). The position and size of the node on the timeline reveal the cumulative frequency, and the year for the first occurrence of each keyword, respectively. Nodes with red tree rings refer to keywords with citation bursts. (C) Top 20 keywords with the strongest citation bursts. The red bar refers to the burst duration. The burst strength indicates the importance of the keyword to the research field.