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Citing this Article

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Published on 17.03.16 in Vol 18, No 3 (2016): March

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

Works citing "Patterns of Treatment Switching in Multiple Sclerosis Therapies in US Patients Active on Social Media: Application of Social Media Content Analysis to Health Outcomes Research"

Valéry Risson, Deepanshu Saini, Ian Bonzani, Alice Huisman, Melvin Olson

J Med Internet Res 2016 (Mar 17); 18(3):e62 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.5409):

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

  1. Shang W, Chen H, Livoti C. Adverse drug reaction early warning using user search data. Online Information Review 2017;41(4):524
    CrossRef
  2. Herrera-Peco I, de la Torre-Montero JC. Preface of Special Issue “Cares in the Age of Communication: Health Education and Healthy Lifestyles”: Social Media and Health Communication in a Pandemic?. European Journal of Investigation in Health, Psychology and Education 2020;10(2):575
    CrossRef
  3. Haase R, Wunderlich M, Dillenseger A, Kern R, Akgün K, Ziemssen T. Improving multiple sclerosis management and collecting safety information in the real world: the MSDS3D software approach. Expert Opinion on Drug Safety 2018;17(4):369
    CrossRef
  4. Cook N, Mullins A, Gautam R, Medi S, Prince C, Tyagi N, Kommineni J. Evaluating Patient Experiences in Dry Eye Disease Through Social Media Listening Research. Ophthalmology and Therapy 2019;8(3):407
    CrossRef
  5. Risson V, Ghodge B, Bonzani IC, Korn JR, Medin J, Saraykar T, Sengupta S, Saini D, Olson M. Linked Patient-Reported Outcomes Data From Patients With Multiple Sclerosis Recruited on an Open Internet Platform to Health Care Claims Databases Identifies a Representative Population for Real-Life Data Analysis in Multiple Sclerosis. Journal of Medical Internet Research 2016;18(9):e249
    CrossRef
  6. . Developing an integrated strategy for evidence generation. Journal of Comparative Effectiveness Research 2018;7(1):5
    CrossRef
  7. . Connected health and multiple sclerosis. Revue Neurologique 2018;174(6):480
    CrossRef
  8. 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
  9. Kalf RR, Makady A, ten Ham RM, Meijboom K, Goettsch WG. Use of Social Media in the Assessment of Relative Effectiveness: Explorative Review With Examples From Oncology. JMIR Cancer 2018;4(1):e11
    CrossRef
  10. McDonald L, Malcolm B, Ramagopalan S, Syrad H. Real-world data and the patient perspective: the PROmise of social media?. BMC Medicine 2019;17(1)
    CrossRef
  11. Scully RE, Davids JS, Melnitchouk N. Impact of Procedural Specialty on Maternity Leave and Career Satisfaction Among Female Physicians. Annals of Surgery 2017;266(2):210
    CrossRef
  12. Kantor D, Bright JR, Burtchell J. Perspectives from the Patient and the Healthcare Professional in Multiple Sclerosis: Social Media and Patient Education. Neurology and Therapy 2018;7(1):23
    CrossRef
  13. Park J, Kim J, Ryu B, Heo E, Jung SY, Yoo S. Patient-Level Prediction of Cardio-Cerebrovascular Events in Hypertension Using Nationwide Claims Data. Journal of Medical Internet Research 2019;21(2):e11757
    CrossRef
  14. . Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206
    CrossRef
  15. Lavorgna L, Lanzillo R, Brescia Morra V, Abbadessa G, Tedeschi G, Bonavita S. Social Media and Multiple Sclerosis in the Posttruth Age. Interactive Journal of Medical Research 2017;6(2):e18
    CrossRef
  16. McDonald L, Behl V, Sundar V, Mehmud F, Malcolm B, Ramagopalan S. Validity of social media for assessing treatment patterns in oncology patients: a case study in melanoma. JAMIA Open 2019;2(4):416
    CrossRef
  17. Taylor J, Pagliari C. Mining social media data: How are research sponsors and researchers addressing the ethical challenges?. Research Ethics 2018;14(2):1
    CrossRef
  18. Kamiński , Łoniewski , Misera , Marlicz . Heartburn-Related Internet Searches and Trends of Interest across Six Western Countries: A Four-Year Retrospective Analysis Using Google Ads Keyword Planner. International Journal of Environmental Research and Public Health 2019;16(23):4591
    CrossRef
  19. Belleudi V, Trotta F, Vecchi S, Amato L, Addis A, Davoli M. Studies on drug switchability showed heterogeneity in methodological approaches: a scoping review. Journal of Clinical Epidemiology 2018;101:5
    CrossRef
  20. TOSYALI H, SÜTÇÜ CS, TOSYALI F. Patient Loyalty in the HospitalPatient Relationship: The Mediating Role of Social Media. Erciyes İletişim Dergisi 2019;6(1):783
    CrossRef
  21. Wise J, Möller A, Christie D, Kalra D, Brodsky E, Georgieva E, Jones G, Smith I, Greiffenberg L, McCarthy M, Arend M, Luttringer O, Kloss S, Arlington S. The positive impacts of Real-World Data on the challenges facing the evolution of biopharma. Drug Discovery Today 2018;23(4):788
    CrossRef
  22. Qian Y, Zhang Y, He X, Xu S, Yang X, Mo C, Lu X, Qiu M, Xiao Q. Findings in Chinese Patients With Parkinson's Disease: A Content Analysis From the SML Study. Frontiers in Psychiatry 2021;12
    CrossRef
  23. Walsh J, Cave J, Griffiths F. Spontaneously Generated Online Patient Experience of Modafinil: A Qualitative and NLP Analysis. Frontiers in Digital Health 2021;3
    CrossRef
  24. Schmidt AL, Rodriguez-Esteban R, Gottowik J, Leddin M. Applications of quantitative social media listening to patient-centric drug development. Drug Discovery Today 2022;27(5):1523
    CrossRef
  25. Chauhan J, Aasaithambi S, Márquez-Rodas I, Formisano L, Papa S, Meyer N, Forschner A, Faust G, Lau M, Sagkriotis A. Understanding the Lived Experiences of Patients With Melanoma: Real-World Evidence Generated Through a European Social Media Listening Analysis. JMIR Cancer 2022;8(2):e35930
    CrossRef
  26. Effenberger M, Kronbichler A, Bettac E, Grabherr F, Grander C, Adolph TE, Mayer G, Zoller H, Perco P, Tilg H. Using Infodemiology Metrics to Assess Public Interest in Liver Transplantation: Google Trends Analysis. Journal of Medical Internet Research 2021;23(8):e21656
    CrossRef
  27. Leist TP, Cole M, Verma S, Keenan A, Le HH. A retrospective claims analysis of fatigue in patients with multiple sclerosis on disease-modifying therapy. Multiple Sclerosis and Related Disorders 2023;78:104917
    CrossRef
  28. Sloesen B, O'Brien P, Verma H, Asaithambi S, Parashar N, Mothe RK, Shaikh J, Syntosi A. Patient Experiences and Insights on Chronic Ocular Pain: Social Media Listening Study. JMIR Formative Research 2024;8:e47245
    CrossRef
  29. Wessel D, Pogrebnyakov N. Using Social Media as a Source of Real-World Data for Pharmaceutical Drug Development and Regulatory Decision Making. Drug Safety 2024;47(5):495
    CrossRef