This paper is in the following e-collection/theme issue:

Infodemiology and Infoveillance (1008) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1276) Depression and Mood Disorders; Suicide Prevention (1032) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (825) Special Issue Computing and Mental Health 2016/17 (Guest Editors: Calvo, Dinakar, Torous, Picard, Christensen) (22)

Published on in Vol 19 , No 2 (2017) :February

Understanding Depressive Symptoms and Psychosocial Stressors on Twitter: A Corpus-Based Study

Understanding Depressive Symptoms and Psychosocial Stressors on Twitter: A Corpus-Based Study

Understanding Depressive Symptoms and Psychosocial Stressors on Twitter: A Corpus-Based Study

Authors of this article:

Danielle Mowery 1 Author Orcid Image ;   Hilary Smith 2 Author Orcid Image ;   Tyler Cheney 2 Author Orcid Image ;   Greg Stoddard 3 Author Orcid Image ;   Glen Coppersmith 4, 5 Author Orcid Image ;   Craig Bryan 2 Author Orcid Image ;   Mike Conway 1 Author Orcid Image
Article Authors Cited by (51) Tweetations (13) Metrics
Danielle Mowery 1 , MS, PhD ;   Hilary Smith 2 , BS ;   Tyler Cheney 2 , BS ;   Greg Stoddard 3 , MS ;   Glen Coppersmith 4, 5 , MA, PhD ;   Craig Bryan 2 , PsyD, ABPP ;   Mike Conway 1 , PhD

1 Department of Biomedical Informatics , University of Utah , Salt Lake City , UT , US

2 Department of Psychology , University of Utah , Salt Lake City , UT , US

3 Department of Family And Preventive Medicine , University of Utah , Salt Lake City , UT , US

4 Qntfy , Crownsville , MD , US

5 Human Language Technology Center of Excellence , John Hopkins University , Baltimore , MD , US

Corresponding Author:

  • Danielle Mowery , MS, PhD
  • Department of Biomedical Informatics
  • University of Utah
  • 421 Wakara Way, Ste 140
  • Salt Lake City , UT
  • US
  • Phone: 1 8015856739
  • Email: danielle.mowery@utah.edu