Published on in Vol 20 , No 5 (2018) :May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9582, first published .
Increasing Interest of Mass Communication Media and the General Public in the Distribution of Tweets About Mental Disorders: Observational Study

Increasing Interest of Mass Communication Media and the General Public in the Distribution of Tweets About Mental Disorders: Observational Study

Increasing Interest of Mass Communication Media and the General Public in the Distribution of Tweets About Mental Disorders: Observational Study

Journals

  1. Pereira-Sanchez V, Alvarez-Mon M, Asunsolo del Barco A, Alvarez-Mon M, Teo A. Exploring the Extent of the Hikikomori Phenomenon on Twitter: Mixed Methods Study of Western Language Tweets. Journal of Medical Internet Research 2019;21(5):e14167 View
  2. Álvarez-Mon M, Vidal C, Ortuño F. Actualización clínica de la psicosis. Medicine - Programa de Formación Médica Continuada Acreditado 2019;12(86):5023 View
  3. Mavragani A, Ochoa G. Google Trends in Infodemiology and Infoveillance: Methodology Framework. JMIR Public Health and Surveillance 2019;5(2):e13439 View
  4. Alvarez-Mon M, 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 View
  5. Cheng T, Liu L, Woo B. Analyzing Twitter as a Platform for Alzheimer-Related Dementia Awareness: Thematic Analyses of Tweets. JMIR Aging 2018;1(2):e11542 View
  6. Soreni N, Cameron D, Streiner D, Rowa K, McCabe R. Seasonality Patterns of Internet Searches on Mental Health: Exploratory Infodemiology Study. JMIR Mental Health 2019;6(4):e12974 View
  7. Leis A, Ronzano F, Mayer M, Furlong L, Sanz F. Detecting Signs of Depression in Tweets in Spanish: Behavioral and Linguistic Analysis. Journal of Medical Internet Research 2019;21(6):e14199 View
  8. Álvarez-Mon M, Vidal C, Llavero-Valero M, Ortuño F. Actualización clínica de los trastornos depresivos. Medicine - Programa de Formación Médica Continuada Acreditado 2019;12(86):5041 View
  9. Mon M, Sánchez V, de Anta L, Quintero J. Aislamiento social prolongado. Hikikomori: un fenómeno creciente en Occidente. Medicine - Programa de Formación Médica Continuada Acreditado 2019;12(92):5427 View
  10. Roy A, Nikolitch K, McGinn R, Jinah S, Klement W, Kaminsky Z. A machine learning approach predicts future risk to suicidal ideation from social media data. npj Digital Medicine 2020;3(1) View
  11. Viguria I, Alvarez-Mon M, Llavero-Valero M, Asunsolo del Barco A, Ortuño F, Alvarez-Mon M. Eating Disorder Awareness Campaigns: Thematic and Quantitative Analysis Using Twitter. Journal of Medical Internet Research 2020;22(7):e17626 View
  12. Tárraga-Mínguez R, Gómez-Marí I, Sanz-Cervera P. What Motivates Internet Users to Search for Asperger Syndrome and Autism on Google?. International Journal of Environmental Research and Public Health 2020;17(24):9386 View
  13. Álvarez-Mon M, Rodríguez-Quiroga A, de Anta L, Quintero J. Aplicaciones médicas de las redes sociales. Aspectos específicos de la pandemia de la COVID-19. Medicine - Programa de Formación Médica Continuada Acreditado 2020;13(23):1305 View
  14. Alvarez-Mon M, Fernandez-Lazaro C, Llavero-Valero M, Alvarez-Mon M, Mora S, Martinez-Gonzalez M, Bes-Rastrollo M. Mediterranean diet social network impact along 11 years in the major US media outlets: Thematic and Quantitative Analysis using Twitter. (Preprint). JMIR Public Health and Surveillance 2020 View
  15. Lai K, Li D, Peng H, Zhao J, He L. Assessing Suicide Reporting in Top Newspaper Social Media Accounts in China: Content Analysis Study. JMIR Mental Health 2021;8(5):e26654 View
  16. Alvarez-Mon M, Donat-Vargas C, Llavero-Valero M, Gea A, Alvarez-Mon M, Martinez-Gonzalez M, Lopez-del Burgo C. Analysis of Media Outlets on Women's Health: Thematic and Quantitative Analyses Using Twitter. Frontiers in Public Health 2021;9 View
  17. Alvarez-Mon M, de Anta L, Llavero-Valero M, Lahera G, Ortega M, Soutullo C, Quintero J, Asunsolo del Barco A, Alvarez-Mon M. Areas of Interest and Attitudes towards the Pharmacological Treatment of Attention Deficit Hyperactivity Disorder: Thematic and Quantitative Analysis Using Twitter. Journal of Clinical Medicine 2021;10(12):2668 View
  18. Alvarez-Mon M, Llavero-Valero M, Asunsolo del Barco A, Zaragozá C, Ortega M, Lahera G, Quintero J, Alvarez-Mon M. Areas of Interest and Attitudes Towards Anti-Obesity Drugs: Thematic and Quantitative Analysis Using Twitter. (Preprint). Journal of Medical Internet Research 2020 View