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Citing this Article

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Published on 13.06.16 in Vol 18, No 6 (2016): Jun

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

Works citing "Demographic-Based Content Analysis of Web-Based Health-Related Social Media"

Shouq A Sadah, Moloud Shahbazi, Matthew T Wiley, Vagelis Hristidis

J Med Internet Res 2016 (Jun 13); 18(6):e148 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.5327):

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

  1. Park SH, Hong SH. Identification of Primary Medication Concerns Regarding Thyroid Hormone Replacement Therapy From Online Patient Medication Reviews: Text Mining of Social Network Data. Journal of Medical Internet Research 2018;20(10):e11085
    CrossRef
  2. . The Impact of Public Health Awareness Campaigns on the Awareness and Quality of Palliative Care. Journal of Palliative Medicine 2018;21(S1):S-30
    CrossRef
  3. Zhang Y, Cao B, Wang Y, Peng T, Wang X. When Public Health Research Meets Social Media: Knowledge Mapping From 2000 to 2018. Journal of Medical Internet Research 2020;22(8):e17582
    CrossRef
  4. . Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206
    CrossRef
  5. Audeh B, Bellet F, Beyens M, Lillo-Le Louët A, Bousquet C. Use of Social Media for Pharmacovigilance Activities: Key Findings and Recommendations from the Vigi4Med Project. Drug Safety 2020;43(9):835
    CrossRef
  6. Fan KS, Ghani SA, Machairas N, Lenti L, Fan KH, Richardson D, Scott A, Raptis DA. COVID-19 prevention and treatment information on the internet: a systematic analysis and quality assessment. BMJ Open 2020;10(9):e040487
    CrossRef
  7. Rivas R, Sadah SA, Guo Y, Hristidis V. Classification of Health-Related Social Media Posts: Evaluation of Post Content–Classifier Models and Analysis of User Demographics. JMIR Public Health and Surveillance 2020;6(2):e14952
    CrossRef
  8. Oosterveen E, Tzelepis F, Ashton L, Hutchesson MJ. A systematic review of eHealth behavioral interventions targeting smoking, nutrition, alcohol, physical activity and/or obesity for young adults. Preventive Medicine 2017;99:197
    CrossRef
  9. Pesaranghader A, Matwin S, Sokolova M, Pesaranghader A. deepBioWSD: effective deep neural word sense disambiguation of biomedical text data. Journal of the American Medical Informatics Association 2019;26(5):438
    CrossRef
  10. Udayakumar S, Senadeera DC, Yamunarani S, Cheon NJ. Demographics Analysis of Twitter Users who Tweeted on Psychological Articles and Tweets Analysis. Procedia Computer Science 2018;144:96
    CrossRef
  11. Chansiri K, Wongphothiphan T, Shafer A. Dying for clear skin: a health-belief-model-informed content analysis of acne sufferers’ beliefs toward isotretinoin on message boards. Journal of Communication in Healthcare 2019;12(1):68
    CrossRef
  12. Zhou Y, Na J. A comparative analysis of Twitter users who Tweeted on psychology and political science journal articles. Online Information Review 2019;43(7):1188
    CrossRef
  13. Mullins CF, ffrench-O'Carroll R, Lane J, O'Connor T. Sharing the pain: an observational analysis of Twitter and pain in Ireland. Regional Anesthesia & Pain Medicine 2020;45(8):597
    CrossRef
  14. Bahng J, Lee CH. Topic Modeling for Analyzing Patients’ Perceptions and Concerns of Hearing Loss on Social Q&A Sites: Incorporating Patients’ Perspective. International Journal of Environmental Research and Public Health 2020;17(17):6209
    CrossRef
  15. Cowey AE, Potts HWW. What can we learn from second generation digital natives? A qualitative study of undergraduates’ views of digital health at one London university. DIGITAL HEALTH 2018;4:205520761878815
    CrossRef
  16. De Martino I, D’Apolito R, McLawhorn AS, Fehring KA, Sculco PK, Gasparini G. Social media for patients: benefits and drawbacks. Current Reviews in Musculoskeletal Medicine 2017;10(1):141
    CrossRef
  17. Lavorgna L, Russo A, De Stefano M, Lanzillo R, Esposito S, Moshtari F, Rullani F, Piscopo K, Buonanno D, Brescia Morra V, Gallo A, Tedeschi G, Bonavita S. Health-Related Coping and Social Interaction in People with Multiple Sclerosis Supported by a Social Network: Pilot Study With a New Methodological Approach. Interactive Journal of Medical Research 2017;6(2):e10
    CrossRef
  18. Audeh B, Calvier F, Bellet F, Beyens M, Pariente A, Lillo-Le Louet A, Bousquet C. Pharmacology and social media: Potentials and biases of web forums for drug mention analysis—case study of France. Health Informatics Journal 2020;26(2):1253
    CrossRef
  19. Park S, Suh Y, Kim J, Kwon J. Analysis for internet health counseling about precocious puberty using text mining and topic modeling. Korean Journal of Health Education and Promotion 2020;37(3):71
    CrossRef
  20. 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
  21. Shen L, Yao R, Zhang W, Evans R, Cao G, Zhang Z. Emotional Attitudes of Chinese Citizens on Social Distancing During the COVID-19 Outbreak: Analysis of Social Media Data. JMIR Medical Informatics 2021;9(3):e27079
    CrossRef
  22. Nguyen AX, Trinh X, Wang SY, Wu AY. Determination of Patient Sentiment and Emotion in Ophthalmology: Infoveillance Tutorial on Web-Based Health Forum Discussions. Journal of Medical Internet Research 2021;23(5):e20803
    CrossRef
  23. Zingg A, Singh T, Myneni S. Analysis of Online Peripartum Depression Communities: Application of Multilabel Text Classification Techniques to Inform Digitally-Mediated Prevention and Management. Frontiers in Digital Health 2021;3
    CrossRef
  24. Ulvi O, Karamehic-Muratovic A, Baghbanzadeh M, Bashir A, Smith J, Haque U. Social Media Use and Mental Health: A Global Analysis. Epidemiologia 2022;3(1):11
    CrossRef
  25. Al-Dmour H, Masa’deh R, Salman A, Al-Dmour R, Abuhashesh M. The Role of Mass Media Interventions on Promoting Public Health Knowledge and Behavioral Social Change Against COVID-19 Pandemic in Jordan. SAGE Open 2022;12(1):215824402210821
    CrossRef
  26. Piszczek CC, Foley CE, Farag S, Northup M, Overcarsh P, Wiedrick J, Yunker AC, Ecker AM. Social media utilization, preferences, and patterns of behavior in patients with gynecologic pelvic pain. American Journal of Obstetrics and Gynecology 2022;226(4):547.e1
    CrossRef
  27. 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
  28. Aktaş B, Akbıyık A, Nusair K, Okumus F. Travellers’ social media postings during protests and mass demonstrations. Current Issues in Tourism 2024;27(10):1513
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.5327):

  1. . Telemedicine, Telehealth and Telepresence. 2021. Chapter 16:257
    CrossRef