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Citing this Article

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Published on 26.06.15 in Vol 1, No 1 (2015): Jan-Jun

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

Works citing "Using Twitter to Measure Public Discussion of Diseases: A Case Study"

Christopher Weeg, H. Andrew Schwartz, Shawndra Hill, Raina M Merchant, Catalina Arango, Lyle Ungar

JMIR Public Health Surveill 2015 (Jun 26); 1(1):e6 

According to Crossref, the following articles are citing this article (DOI 10.2196/publichealth.3953):

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

  1. Kagashe I, Yan Z, Suheryani I. Enhancing Seasonal Influenza Surveillance: Topic Analysis of Widely Used Medicinal Drugs Using Twitter Data. Journal of Medical Internet Research 2017;19(9):e315
    CrossRef
  2. Sinnenberg L, Buttenheim AM, Padrez K, Mancheno C, Ungar L, Merchant RM. Twitter as a Tool for Health Research: A Systematic Review. American Journal of Public Health 2017;107(1):e1
    CrossRef
  3. Alvaro N, Miyao Y, Collier N. TwiMed: Twitter and PubMed Comparable Corpus of Drugs, Diseases, Symptoms, and Their Relations. JMIR Public Health and Surveillance 2017;3(2):e24
    CrossRef
  4. . Ethical Considerations When Using Social Media for Research. Oncology Nursing Forum 2017;44(4):410
    CrossRef
  5. Griffis H, Asch DA, Schwartz HA, Ungar L, Buttenheim AM, Barg FK, Mitra N, Merchant RM. Using Social Media to Track Geographic Variability in Language About Diabetes: Analysis of Diabetes-Related Tweets Across the United States. JMIR Diabetes 2020;5(1):e14431
    CrossRef
  6. Xue J, Chen J, Gelles R. Using Data Mining Techniques to Examine Domestic Violence Topics on Twitter. Violence and Gender 2019;6(2):105
    CrossRef
  7. Wang Z, Bauch CT, Bhattacharyya S, d'Onofrio A, Manfredi P, Perc M, Perra N, Salathé M, Zhao D. Statistical physics of vaccination. Physics Reports 2016;664:1
    CrossRef
  8. Albalawi Y, Sixsmith J. Agenda Setting for Health Promotion: Exploring an Adapted Model for the Social Media Era. JMIR Public Health and Surveillance 2015;1(2):e21
    CrossRef
  9. Thomas J, Prabhu AV, Heron DE, Beriwal S. Twitter and brachytherapy: An analysis of “tweets” over six years by patients and health care professionals. Brachytherapy 2018;17(6):1004
    CrossRef
  10. Tufts C, Polsky D, Volpp KG, Groeneveld PW, Ungar L, Merchant RM, Pelullo AP. Characterizing Tweet Volume and Content About Common Health Conditions Across Pennsylvania: Retrospective Analysis. JMIR Public Health and Surveillance 2018;4(4):e10834
    CrossRef
  11. Hu G, Han X, Zhou H, Liu Y. Public Perception on Healthcare Services: Evidence from Social Media Platforms in China. International Journal of Environmental Research and Public Health 2019;16(7):1273
    CrossRef
  12. Salem J, Borgmann H, Bultitude M, Fritsche H, Haferkamp A, Heidenreich A, Miernik A, Neisius A, Knoll T, Thomas C, Tsaur I, Sands JM. Online Discussion on #KidneyStones: A Longitudinal Assessment of Activity, Users and Content. PLOS ONE 2016;11(8):e0160863
    CrossRef
  13. Radzikowski J, Stefanidis A, Jacobsen KH, Croitoru A, Crooks A, Delamater PL. The Measles Vaccination Narrative in Twitter: A Quantitative Analysis. JMIR Public Health and Surveillance 2016;2(1):e1
    CrossRef
  14. Paul MJ, Dredze M. Social Monitoring for Public Health. Synthesis Lectures on Information Concepts, Retrieval, and Services 2017;9(5):1
    CrossRef
  15. Kim AE, Hopper T, Simpson S, Nonnemaker J, Lieberman AJ, Hansen H, Guillory J, Porter L. Using Twitter Data to Gain Insights into E-cigarette Marketing and Locations of Use: An Infoveillance Study. Journal of Medical Internet Research 2015;17(11):e251
    CrossRef
  16. Daniulaityte R, Chen L, Lamy FR, Carlson RG, Thirunarayan K, Sheth A. “When ‘Bad’ is ‘Good’”: Identifying Personal Communication and Sentiment in Drug-Related Tweets. JMIR Public Health and Surveillance 2016;2(2):e162
    CrossRef
  17. Drewnowski A, Caballero B, Das JK, French J, Prentice AM, Fries LR, van Koperen TM, Klassen-Wigger P, Rolls BJ. Novel public–private partnerships to address the double burden of malnutrition. Nutrition Reviews 2018;76(11):805
    CrossRef
  18. . Whiplash Syndrome Reloaded: Digital Echoes of Whiplash Syndrome in the European Internet Search Engine Context. JMIR Public Health and Surveillance 2017;3(1):e15
    CrossRef
  19. . Large-Scale, Language-Agnostic Discourse Classification of Tweets During COVID-19. Machine Learning and Knowledge Extraction 2020;2(4):603
    CrossRef
  20. Gencoglu O, Gruber M. Causal Modeling of Twitter Activity during COVID-19. Computation 2020;8(4):85
    CrossRef
  21. Thelwall M, Makita M, Mas-Bleda A, Stuart E. “My ADHD Hellbrain”: A Twitter Data Science Perspective on a Behavioural Disorder. Journal of Data and Information Science 2021;6(1):13
    CrossRef
  22. Kim I, Begay C, Ma HJ, Orozco FR, Rogers CJ, Valente TW, Unger JB. E-Cigarette–Related Health Beliefs Expressed on Twitter Within the U.S.. AJPM Focus 2023;2(2):100067
    CrossRef
  23. Nawaz FA, Riaz MMA, Tsagkaris C, Faisal UH, Klager E, Kletecka-Pulker M, Kimberger O, Willschke H, Khan N, Sultan MA, Atanasov AG. Impact of #PsychTwitter in promoting global psychiatry: A hashtag analysis study. Frontiers in Public Health 2023;11
    CrossRef
  24. Abbasi-Perez A, Alvarez-Mon MA, Donat-Vargas C, Ortega MA, Monserrat J, Perez-Gomez A, Sanz I, Alvarez-Mon M. Analysis of Tweets Containing Information Related to Rheumatological Diseases on Twitter. International Journal of Environmental Research and Public Health 2021;18(17):9094
    CrossRef
  25. Golder S, Stevens R, O'Connor K, James R, Gonzalez-Hernandez G. Methods to Establish Race or Ethnicity of Twitter Users: Scoping Review. Journal of Medical Internet Research 2022;24(4):e35788
    CrossRef