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. 2017 Dec 13;19(12):e415. doi: 10.2196/jmir.7681

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©Patricia Estefania Ayala Aguirre, Melina Martins Coelho, Daniela Rios, Maria Aparecida Andrade Moreira Machado, Agnes Fátima Pereira Cruvinel, Thiago Cruvinel. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 13.12.2017.

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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Cluster analysis of the websites. (A) The representation of websites’ IDs regarding the content of information: etiology (1), treatment (2), and/or prevention (3) of dental caries. Red and black bars mean the presence and absence of the type of information, respectively. (B) Dendrogram depicts three clusters originated from the websites’ IDs (hierarchical clustering analysis by Ward’s minimum variance method).