Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Monday, March 11, 2019 at 4:00 PM to 4:30 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Citing this Article

Right click to copy or hit: ctrl+c (cmd+c on mac)

Published on 18.10.17 in Vol 4, No 4 (2017): Oct-Dec

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

Works citing "#MyDepressionLooksLike: Examining Public Discourse About Depression on Twitter"

According to Crossref, the following articles are citing this article (DOI 10.2196/mental.8141):

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

  1. Alvarez-Mon MA, Llavero-Valero M, Sánchez-Bayona R, Pereira-Sanchez V, Vallejo-Valdivielso M, Monserrat J, Lahera G, Asunsolo del Barco A, Alvarez-Mon M. Areas of Interest and Stigmatic Attitudes of the General Public in Five Relevant Medical Conditions: Thematic and Quantitative Analysis Using Twitter. Journal of Medical Internet Research 2019;21(5):e14110
    CrossRef
  2. Brandt HM, Turner-McGrievy G, Friedman DB, Gentile D, Schrock C, Thomas T, West D. Examining the Role of Twitter in Response and Recovery During and After Historic Flooding in South Carolina. Journal of Public Health Management and Practice 2019;25(5):E6
    CrossRef
  3. Garcia-Rudolph A, Laxe S, Saurí J, Bernabeu Guitart M. Stroke Survivors on Twitter: Sentiment and Topic Analysis From a Gender Perspective. Journal of Medical Internet Research 2019;21(8):e14077
    CrossRef
  4. Michalak EE, Morton E, Barnes SJ, Hole R, Murray G. Supporting Self-Management in Bipolar Disorder: Mixed-Methods Knowledge Translation Study. JMIR Mental Health 2019;6(4):e13493
    CrossRef
  5. Fonseka TM, Bhat V, Kennedy SH. The utility of artificial intelligence in suicide risk prediction and the management of suicidal behaviors. Australian & New Zealand Journal of Psychiatry 2019;:000486741986442
    CrossRef
  6. Reinisch A, Schröder SR, Ulrich F, Padberg W, Liese J. Antibiotic-treated acute appendicitis—reception in social media. Langenbeck's Archives of Surgery 2019;404(3):343
    CrossRef
  7. Doan S, Yang EW, Tilak SS, Li PW, Zisook DS, Torii M. Extracting health-related causality from twitter messages using natural language processing. BMC Medical Informatics and Decision Making 2019;19(S3)
    CrossRef
  8. Kelleher E, Moreno M, Wilt MP. Recruitment of Participants and Delivery of Online Mental Health Resources for Depressed Individuals Using Tumblr: Pilot Randomized Control Trial. JMIR Research Protocols 2018;7(4):e95
    CrossRef
  9. Schlichthorst M, King K, Turnure J, Sukunesan S, Phelps A, Pirkis J. Influencing the Conversation About Masculinity and Suicide: Evaluation of the Man Up Multimedia Campaign Using Twitter Data. JMIR Mental Health 2018;5(1):e14
    CrossRef
  10. Harlow AF, Willis SK, Smith ML, Rothman EF. Bystander Prevention for Sexual Violence: #HowIWillChange and Gaps in Twitter Discourse. Journal of Interpersonal Violence 2018;:088626051880885
    CrossRef
  11. Pan J, Liu B, Kreps GL. A content analysis of depression-related discourses on Sina Weibo: attribution, efficacy, and information sources. BMC Public Health 2018;18(1)
    CrossRef
  12. Logghe HJ, Selby LV, Boeck MA, Stamp NL, Chuen J, Jones C. The academic tweet: Twitter as a tool to advance academic surgery. Journal of Surgical Research 2018;226:viii
    CrossRef
  13. McCauley HL, Bonomi AE, Maas MK, Bogen KW, O'Malley TL. #MaybeHeDoesntHitYou: Social Media Underscore the Realities of Intimate Partner Violence. Journal of Women's Health 2018;27(7):885
    CrossRef
  14. DeJohn AD, Schulz EE, Pearson AL, Lachmar EM, Wittenborn AK. Identifying and Understanding Communities Using Twitter to Connect About Depression: Cross-Sectional Study. JMIR Mental Health 2018;5(4):e61
    CrossRef