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Citing this Article

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Published on 28.02.17 in Vol 19, No 2 (2017): February

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

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

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.6895):

(note that this is only a small subset of citations)

  1. Martinez LS, Hughes S, Walsh-Buhi ER, Tsou M. “Okay, We Get It. You Vape”: An Analysis of Geocoded Content, Context, and Sentiment regarding E-Cigarettes on Twitter. Journal of Health Communication 2018;23(6):550
    CrossRef
  2. Calvo RA, Dinakar K, Picard R, Christensen H, Torous J. Toward Impactful Collaborations on Computing and Mental Health. Journal of Medical Internet Research 2018;20(2):e49
    CrossRef
  3. Booth JM, Lin Y, Wei K. Neighborhood disadvantage, residents' distress, and online social communication: Harnessing Twitter data to examine neighborhood effects. Journal of Community Psychology 2018;46(7):829
    CrossRef
  4. Seabrook EM, Kern ML, Fulcher BD, Rickard NS. Predicting Depression From Language-Based Emotion Dynamics: Longitudinal Analysis of Facebook and Twitter Status Updates. Journal of Medical Internet Research 2018;20(5):e168
    CrossRef
  5. Yeung D. Social Media as a Catalyst for Policy Action and Social Change for Health and Well-Being: Viewpoint. Journal of Medical Internet Research 2018;20(3):e94
    CrossRef
  6. Velupillai S, Suominen H, Liakata M, Roberts A, Shah AD, Morley K, Osborn D, Hayes J, Stewart R, Downs J, Chapman W, Dutta R. Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances. Journal of Biomedical Informatics 2018;88:11
    CrossRef
  7. Kim SJ, Marsch LA, Hancock JT, Das AK. Scaling Up Research on Drug Abuse and Addiction Through Social Media Big Data. Journal of Medical Internet Research 2017;19(10):e353
    CrossRef