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. 2024 Nov 16;14:28293. doi: 10.1038/s41598-024-78945-8

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© The Author(s) 2024

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

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Fig. 1 — i, ii Bubble plots. Compare the Caucasian photo-numeric scale and the Chinese at-rest photo-numeric scale for the same phenotype (i) Crow’s Feet wrinkles, and (ii) forehead wrinkles. Means scores calculated from three assessors on the Chinese photo-numeric scale were plotted against mean scores calculated from the same three assessors on the Caucasian photo-numeric scale. Larger circles indicate greater concordance between the two scales. Numbers in the circles are the number of concordances. The sample size of each plot is 1,081 participants. (iii), (iv) Bubble plots. Compare the Caucasian photo-numeric scale and the Chinese at-rest photo-numeric scale for the same phenotype (iii) glabellar frown wrinkles, and (iv) nasolabial folds. Means scores calculated from three assessors on the Chinese photo-numeric scale were plotted against mean scores calculated from the same three assessors on the Caucasian photo-numeric scale. Larger circles indicate greater concordance between the two scales. Numbers in the circles are the number of concordances. The sample size of each plot is 1,081 participants.