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. 2019 Sep 12;21(9):e13766. doi: 10.2196/13766

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©Nadia N Abuelezam, Yakir A Reshef, David Novak, Yonatan Hagai Grad, George R Seage III, Kenneth Mayer, Marc Lipsitch. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 12.09.2019.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.

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Assortativity by race for details that are acquired by searchers on candidates in Birmingham, Los Angeles, Boston, and New York. Heat maps show the relationship between searcher’s race group and the candidate’s race group. All values are normalized by numbers of searchers in each race category (the total value of a column adds up to 100%). Besides each heat map, a column representing the distribution of candidates in the race group and above each heat map, a row representing the distribution of searchers is shown.