Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Citing this Article

Right click to copy or hit: ctrl+c (cmd+c on mac)

Published on 21.06.12 in Vol 14, No 3 (2012): May-Jun

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

Works citing "Mining Online Social Network Data for Biomedical Research: A Comparison of Clinicians’ and Patients’ Perceptions About Amyotrophic Lateral Sclerosis Treatments"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2127):

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

  1. Mullins CD, Vandigo J, Zheng Z, Wicks P. Patient-Centeredness in the Design of Clinical Trials. Value in Health 2014;17(4):471
    CrossRef
  2. Keller B, Labrique A, Jain KM, Pekosz A, Levine O. Mind the Gap: Social Media Engagement by Public Health Researchers. Journal of Medical Internet Research 2014;16(1):e8
    CrossRef
  3. Himes BE, Weitzman ER. Innovations in health information technologies for chronic pulmonary diseases. Respiratory Research 2016;17(1)
    CrossRef
  4. Sohn M, Jeong S, Kim J, Lee HJ. Crowdsourced healthcare knowledge creation using patients’ health experience-ontologies. Soft Computing 2017;21(18):5207
    CrossRef
  5. Halpin L, Savulescu J, Talbot K, Turner M, Talman P. Improving access to medicines: empowering patients in the quest to improve treatment for rare lethal diseases. Journal of Medical Ethics 2015;41(12):987
    CrossRef
  6. Krishnamurthy M, Marcinek P, Malik KM, Afzal M. Representing Social Network Patient Data as Evidence-Based Knowledge to Support Decision Making in Disease Progression for Comorbidities. IEEE Access 2018;6:12951
    CrossRef
  7. Pappa D, Stergioulas LK. Harnessing social media data for pharmacovigilance: a review of current state of the art, challenges and future directions. International Journal of Data Science and Analytics 2019;8(2):113
    CrossRef
  8. Schroeder EB, Desai J, Schmittdiel JA, Paolino AR, Schneider JL, Goodrich GK, Lawrence JM, Newton KM, Nichols GA, O'Connor PJ, Fitz-Randolph M, Steiner JF. An Innovative Approach to Informing Research: Gathering Perspectives on Diabetes Care Challenges From an Online Patient Community. interactive Journal of Medical Research 2015;4(2):e13
    CrossRef
  9. Pagnini F, Phillips D, Bosma CM, Reece A, Langer E. Mindfulness, physical impairment and psychological well-being in people with amyotrophic lateral sclerosis. Psychology & Health 2015;30(5):503
    CrossRef
  10. Lalezari S, Acquadro M, de Bock E, Lambert J, Simpson ML. Comparing Physician and Patient Perspectives on Prophylactic Treatment with BAY 94-9027 for Severe Haemophilia A: A Post Hoc Analysis. Advances in Therapy 2020;37(6):2763
    CrossRef
  11. Hartzler AL, Taylor MN, Park A, Griffiths T, Backonja U, McDonald DW, Wahbeh S, Brown C, Pratt W. Leveraging cues from person-generated health data for peer matching in online communities. Journal of the American Medical Informatics Association 2016;23(3):496
    CrossRef
  12. Hüning K, Weydt P, Hesse M, Ates G, Cuhls H, Radbruch L. Pharmakologische und nicht pharmakologische Symptomtherapie bei amyotropher Lateralsklerose. Nervenheilkunde 2020;39(12):791
    CrossRef
  13. Samara VC, Jerant P, Gibson S, Bromberg M. Bowel, bladder, and sudomotor symptoms in ALS patients. Journal of the Neurological Sciences 2021;427:117543
    CrossRef
  14. Miller EG, Woodward AL, Flinchum G, Young JL, Tabor HK, Halley MC. Opportunities and pitfalls of social media research in rare genetic diseases: a systematic review. Genetics in Medicine 2021;
    CrossRef
  15. Chiò A, Canosa A, Calvo A, Moglia C, Cicolin A, Mora G. Developments in the assessment of non-motor disease progression in amyotrophic lateral sclerosis. Expert Review of Neurotherapeutics 2021;21(12):1419
    CrossRef
  16. Xu T, Ma Y, Pan T, Chen Y, Liu Y, Zhu F, Zhou Z, Chen Q. Visual Analytics of Multidimensional Oral Health Surveys: Data Mining Study. JMIR Medical Informatics 2023;11:e46275
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.2127):

  1. Peleg M, Leung TI, Desai M, Dumontier M. Artificial Intelligence in Medicine. 2017. Chapter 27:245
    CrossRef
  2. Heyen NB, Dickel S. Personal Health Science. 2019. Chapter 1:1
    CrossRef
  3. Parish MB, Yellowlees P. Mental Health Informatics. 2014. Chapter 2:17
    CrossRef