Published on in Vol 6, No 9 (2018): September
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/10460, first published
.
Journals
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- Höchsmann C, Fearnbach N, Dorling J, Fazzino T, Myers C, Apolzan J, Martin C. Preference, Expected Burden, and Willingness to Use Digital and Traditional Methods to Assess Food and Alcohol Intake. Nutrients 2021;13(10):3340 View
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- Ataide M, Bernardi F, Marques P, Felício C. Web version of the protocol of the orofacial myofunctional evaluation with scores: usability and learning. CoDAS 2023;35(2) View
- Esquivel M, Lozano C. An Overview of Traditional and Novel Tools to Assess Diet. American Journal of Lifestyle Medicine 2024;18(4):475 View
- Ozyazgan L, Fierro L, Mankatala S, Mendoza S, Cummins K. Relationships Between Protocol Features and Engagement Rates in Studies of Youth Substance Use Using Mobile Technology. Journal of Technology in Behavioral Science 2024 View