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

Participatory Medicine & E-Patients (773)

Published on in Vol 13, No 1 (2011): Jan-Mar

Using Metrics to Describe the Participative Stances of Members Within Discussion Forums

Using Metrics to Describe the Participative Stances of Members Within Discussion Forums

Using Metrics to Describe the Participative Stances of Members Within Discussion Forums

Authors of this article:

Ray Jones1 Author Orcid Image ;   Siobhan Sharkey2, 3 ;   Janet Smithson4 ;   Tamsin Ford2 ;   Tobit Emmens3 ;   Elaine Hewis5 ;   Bryony Sheaves1 ;   Christabel Owens2, 3
Article Authors Cited by (29) Tweetations (2) Metrics

Journals

  1. Chen A, Slattery K, Tomasino K, Rubanovich C, Bardsley L, Mohr D. Challenges and Benefits of an Internet-Based Intervention With a Peer Support Component for Older Adults With Depression: Qualitative Analysis of Textual Data. Journal of Medical Internet Research 2020;22(6):e17586 View
  2. Sillence E. Giving and Receiving Peer Advice in an Online Breast Cancer Support Group. Cyberpsychology, Behavior, and Social Networking 2013;16(6):480 View
  3. Zaidan B, Zaidan A, Mat Kiah M. Impact of Data Privacy and Confidentiality on Developing Telemedicine Applications: A Review Participates Opinion and Expert Concerns. International Journal of Pharmacology 2011;7(3):382 View
  4. Chen A. What's in a virtual hug? A transdisciplinary review of methods in online health discussion forum research. Library & Information Science Research 2014;36(2):120 View
  5. Carron-Arthur B, Ali K, Cunningham J, Griffiths K. From Help-Seekers to Influential Users: A Systematic Review of Participation Styles in Online Health Communities. Journal of Medical Internet Research 2015;17(12):e271 View
  6. Petrič G, Atanasova S, Kamin T. Ill Literates or Illiterates? Investigating the eHealth Literacy of Users of Online Health Communities. Journal of Medical Internet Research 2017;19(10):e331 View
  7. van Mierlo T, Voci S, Lee S, Fournier R, Selby P. Superusers in Social Networks for Smoking Cessation: Analysis of Demographic Characteristics and Posting Behavior From the Canadian Cancer Society's Smokers' Helpline Online and StopSmokingCenter.net. Journal of Medical Internet Research 2012;14(3):e66 View
  8. Alanazi H, Zaidan A, Zaidan B, Kiah M, Al-Bakri S. Meeting the Security Requirements of Electronic Medical Records in the ERA of High-Speed Computing. Journal of Medical Systems 2015;39(1) View
  9. Smithson J, Sharkey S, Hewis E, Jones R, Emmens T, Ford T, Owens C. Membership and Boundary Maintenance on an Online Self-Harm Forum. Qualitative Health Research 2011;21(11):1567 View
  10. O'Neill B, Ziebland S, Valderas J, Lupiáñez-Villanueva F. User-Generated Online Health Content: A Survey of Internet Users in the United Kingdom. Journal of Medical Internet Research 2014;16(4):e118 View
  11. Sudau F, Friede T, Grabowski J, Koschack J, Makedonski P, Himmel W. Sources of Information and Behavioral Patterns in Online Health Forums: Qualitative Study. Journal of Medical Internet Research 2014;16(1):e10 View
  12. van Mierlo T, Hyatt D, Ching A. Employing the Gini coefficient to measure participation inequality in treatment-focused Digital Health Social Networks. Network Modeling Analysis in Health Informatics and Bioinformatics 2016;5(1) View
  13. Owens C, Sharkey S, Smithson J, Hewis E, Emmens T, Ford T, Jones R. Building an online community to promote communication and collaborative learning between health professionals and young people who self‐harm: an exploratory study. Health Expectations 2015;18(1):81 View
  14. Wang X, Zhao K, Pant G. The Diffusion of User Roles via Social Networks in Online Health Communities. SSRN Electronic Journal 2016 View
  15. Crawford G, Maycock B, Tobin R, Brown G, Lobo R. Prevention of HIV and Other Sexually Transmissible Infections in Expatriates and Traveler Networks: Qualitative Study of Peer Interaction in an Online Forum. Journal of Medical Internet Research 2018;20(9):e10787 View
  16. van Mierlo T. The 1% Rule in Four Digital Health Social Networks: An Observational Study. Journal of Medical Internet Research 2014;16(2):e33 View
  17. Chen Z, Koh P, Ritter P, Lorig K, Bantum E, Saria S. Dissecting an Online Intervention for Cancer Survivors. Health Education & Behavior 2015;42(1):32 View
  18. Carron-Arthur B, Cunningham J, Griffiths K. Describing the distribution of engagement in an Internet support group by post frequency: A comparison of the 90-9-1 Principle and Zipf's Law. Internet Interventions 2014;1(4):165 View
  19. Lammert C, Comerford M, Love J, Bailey J. Investigation Gone Viral: Application of the Social Mediasphere in Research. Gastroenterology 2015;149(4):839 View
  20. van Mierlo T, Li X, Hyatt D, Ching A. Demographic and Indication-Specific Characteristics Have Limited Association With Social Network Engagement: Evidence From 24,954 Members of Four Health Care Support Groups. Journal of Medical Internet Research 2017;19(2):e40 View
  21. Sharkey S, Smithson J, Hewis E, Jones R, Emmens T, Ford T, Owens C. Supportive interchanges and face-work as ‘protective talk’ in an online self-harm support forum. Communication and Medicine 2013;9(1):71 View
  22. Wang X, High A, Wang X, Zhao K. Predicting users' continued engagement in online health communities from the quantity and quality of received support. Journal of the Association for Information Science and Technology 2021;72(6):710 View

Books/Policy Documents

  1. Smithson J. The Palgrave Handbook of Child Mental Health. View
  2. Hegerl U, Dogan E, Oehler C, Sander C, Stöber F. Gesundheit digital. View