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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"

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. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. Hammer M. Ethical Considerations When Using Social Media for Research. Oncology Nursing Forum 2017;44(4):410
    CrossRef
  8. Paul MJ, Dredze M. Social Monitoring for Public Health. Synthesis Lectures on Information Concepts, Retrieval, and Services 2017;9(5):1
    CrossRef
  9. Noll-Hussong M. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  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