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#Healthy Selfies: Exploration of Health Topics on Instagram
topic, we calculate the average proportion, where D is the number of documents: To estimate the prevalence of the coarser categories, we simply define each category’s prevalence of the sum of its topic proportions, where Cj is the set of topics in category j:Sachin Muralidhara, Michael J. Paul
JMIR Public Health Surveill 2018;4(2):e10150Download Citation: END BibTex RIS
Ashlynn R Daughton, Michael J Paul
J Med Internet Res 2019;21(5):e13090Download Citation: END BibTex RIS

Social Media as a Sensor of Air Quality and Public Response in China
Shiliang Wang, Michael J Paul, Mark Dredze
J Med Internet Res 2015;17(3):e22Download Citation: END BibTex RIS
The Touro 12-Step: A Systematic Guide to Optimizing Survey Research with Online Discussion Boards
Eric J Ip, Mitchell J Barnett, Michael J Tenerowicz, Paul J Perry
J Med Internet Res 2010;12(2):e16Download Citation: END BibTex RIS
Ashlynn R Daughton, Rumi Chunara, Michael J Paul
JMIR Public Health Surveill 2020;6(2):e14986Download Citation: END BibTex RIS
Paul Rosen, Steven J. Spalding, Michael J. Hannon, Robert M. Boudreau, C. Kent Kwoh
J Med Internet Res 2011;13(2):e40Download Citation: END BibTex RIS

David Andre Broniatowski, Mark Dredze, Michael J Paul, Andrea Dugas
JMIR Public Health Surveill 2015;1(1):e5Download Citation: END BibTex RIS

Elizabeth A Fradgley, Christine L Paul, Jamie Bryant, Ian A Roos, Frans A Henskens, David J Paul
J Med Internet Res 2014;16(12):e292Download Citation: END BibTex RIS

Characterizing the (Perceived) Newsworthiness of Health Science Articles: A Data-Driven Approach
Ye Zhang, Erin Willis, Michael J Paul, Noémie Elhadad, Byron C Wallace
JMIR Med Inform 2016;4(3):e27Download Citation: END BibTex RIS

Like or Dislike? Impact of Facebook on Ewing Sarcoma Treatment
Paul Ruckenstuhl, Michael Schippinger, Paul Liebmann, Andreas Leithner, Gerwin Bernhardt
JMIR Cancer 2016;2(2):e11Download Citation: END BibTex RIS