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. 2022 Jul 29;101(30):e29396. doi: 10.1097/MD.0000000000029396

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Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc.

This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal.

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Figure 6. — Using MeSH terms to predict article citations. Note. The 100 top-cited articles are demonstrated in the linear regression, with the x-axis representing the weight of MeSH terms and the y-axis representing the article citation. The regression equation is defined as y = −0.01700 + 1.1155 × x. The correlation coefficient (CC) is 0.45, which was statistically significant (F=28.04, P<.001). It is very obvious that MeSH in the model is collinear with the number of article citations.