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Citing this Article

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Published on 31.01.12 in Vol 14, No 1 (2012): Jan-Feb

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

Works citing "HealthTrust: A Social Network Approach for Retrieving Online Health Videos"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.1985):

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

  1. Yang X, Chen L, Feng Q. Risk perception of food safety issue on social media. Chinese Journal of Communication 2016;9(2):124
    CrossRef
  2. Montesi SB, Fisher JH, Martinez FJ, Selman M, Pardo A, Johannson KA. Update in Interstitial Lung Disease 2019. American Journal of Respiratory and Critical Care Medicine 2020;202(4):500
    CrossRef
  3. Gabarron E, Fernandez-Luque L, Armayones M, Lau AY. Identifying Measures Used for Assessing Quality of YouTube Videos with Patient Health Information: A Review of Current Literature. Interactive Journal of Medical Research 2013;2(1):e6
    CrossRef
  4. Konstantinidis S, Fernandez-Luque L, Bamidis P, Karlsen R. The Role of Taxonomies in Social Media and the Semantic Web for Health Education. Methods of Information in Medicine 2013;52(02):168
    CrossRef
  5. Bornkessel A, Furberg R, Lefebvre RC. Social Media: Opportunities for Quality Improvement and Lessons for Providers—A Networked Model for Patient-Centered Care Through Digital Engagement. Current Cardiology Reports 2014;16(7)
    CrossRef
  6. Huh J, Kim H, Rath B, Lu X, Srivastava J. You reap where you sow: a trust-based approach to initial seeding for viral advertising. International Journal of Advertising 2020;39(7):963
    CrossRef
  7. Stellefson M, Chaney B, Ochipa K, Chaney D, Haider Z, Hanik B, Chavarria E, Bernhardt JM. YouTube as a source of chronic obstructive pulmonary disease patient education. Chronic Respiratory Disease 2014;11(2):61
    CrossRef
  8. Rutsaert P, Regan , Pieniak Z, McConnon , Moss A, Wall P, Verbeke W. The use of social media in food risk and benefit communication. Trends in Food Science & Technology 2013;30(1):84
    CrossRef
  9. Moorhead SA, Hazlett DE, Harrison L, Carroll JK, Irwin A, Hoving C. A New Dimension of Health Care: Systematic Review of the Uses, Benefits, and Limitations of Social Media for Health Communication. Journal of Medical Internet Research 2013;15(4):e85
    CrossRef
  10. Sakib MN, Zolfagharian M, Yazdanparast A. Does parasocial interaction with weight loss vloggers affect compliance? The role of vlogger characteristics, consumer readiness, and health consciousness. Journal of Retailing and Consumer Services 2020;52:101733
    CrossRef
  11. Zhang J, Zheng Z, Wang Y, Zhu Y. A study on users’ preference towards diabetes-related video clips on YouTube. BMC Medical Informatics and Decision Making 2020;20(1)
    CrossRef
  12. Wiesner M, Pfeifer D. Health Recommender Systems: Concepts, Requirements, Technical Basics and Challenges. International Journal of Environmental Research and Public Health 2014;11(3):2580
    CrossRef
  13. Gruzd A, Haythornthwaite C. Enabling Community Through Social Media. Journal of Medical Internet Research 2013;15(10):e248
    CrossRef
  14. Nagata JM, Cassidy LC, Hickey MD, Chuc JM, Bream KD. Evaluation of a Diabetes Education Video Among the Tz'utujil Maya in Guatemala. Diabetes Technology & Therapeutics 2013;15(7):606
    CrossRef
  15. Chen H, Hu Z, Zheng X, Yuan Z, Xu Z, Yuan L, Perez VADJ, Yuan K, Orcholski M, Liao X. Effectiveness of YouTube as a Source of Medical Information on Heart Transplantation. interactive Journal of Medical Research 2013;2(2):e28
    CrossRef
  16. Saidinejad M, Zorc J. Mobile and Web-Based Education. Pediatric Emergency Care 2014;30(3):211
    CrossRef
  17. Sanchez Bocanegra CL, Sevillano Ramos JL, Rizo C, Civit A, Fernandez-Luque L. HealthRecSys: A semantic content-based recommender system to complement health videos. BMC Medical Informatics and Decision Making 2017;17(1)
    CrossRef
  18. Sousa APD, Almeida AM. Habits and Behaviors of e-health Users: A Study on the Influence of the Interface in the Perception of Trust and Credibility. Procedia Computer Science 2016;100:602
    CrossRef
  19. Syed-Abdul S, Fernandez-Luque L, Jian W, Li Y, Crain S, Hsu M, Wang Y, Khandregzen D, Chuluunbaatar E, Nguyen PA, Liou D. Misleading Health-Related Information Promoted Through Video-Based Social Media: Anorexia on YouTube. Journal of Medical Internet Research 2013;15(2):e30
    CrossRef
  20. Crist CA, Duncan SE, Bianchi LM. Incorporation of Cross‐Disciplinary Teaching and a Wiki Research Project to Engage Undergraduate Students’ to Develop Information Literacy, Critical Thinking, and Communication Skills. Journal of Food Science Education 2017;16(3):81
    CrossRef
  21. Goobie GC, Guler SA, Johannson KA, Fisher JH, Ryerson CJ. YouTube Videos as a Source of Misinformation on Idiopathic Pulmonary Fibrosis. Annals of the American Thoracic Society 2019;16(5):572
    CrossRef
  22. Pérez-Aldana CA, Lewinski AA, Johnson CM, Vorderstrasse AA, Myneni S. Exchanges in a Virtual Environment for Diabetes Self-Management Education and Support: Social Network Analysis. JMIR Diabetes 2021;6(1):e21611
    CrossRef
  23. Song S, Zhang Y, Yu B. Interventions to support consumer evaluation of online health information credibility: A scoping review. International Journal of Medical Informatics 2021;145:104321
    CrossRef
  24. Afful-Dadzie E, Afful-Dadzie A, Egala SB. Social media in health communication: A literature review of information quality. Health Information Management Journal 2023;52(1):3
    CrossRef
  25. Tabba' A, Kateb L, Al-Hussaini M. Clinical Trials in Social Media: Content Analysis of YouTube Videos in Arabic Language (Preprint). Interactive Journal of Medical Research 2020;
    CrossRef
  26. Kostkova P, Saigí-Rubió F, Eguia H, Borbolla D, Verschuuren M, Hamilton C, Azzopardi-Muscat N, Novillo-Ortiz D. Data and Digital Solutions to Support Surveillance Strategies in the Context of the COVID-19 Pandemic. Frontiers in Digital Health 2021;3
    CrossRef
  27. Woon TH, Chia S, Kwan YH, Phang JK, Fong W. Evaluation of the quality of YouTube videos on traditional Chinese medicine and inflammatory arthritis. European Journal of Integrative Medicine 2021;47:101380
    CrossRef
  28. YAŞA C, MALKOÇ G. Quality, reliability, and content assessment of YouTube™ videos associated with aphasia. Journal of Health Sciences and Medicine 2023;6(5):870
    CrossRef
  29. Sinha N, Sharma A. Analysis of the most viewed Hindi YouTube videos on breast cancer. Indian Journal of Cancer 2023;0
    CrossRef
  30. . A content analysis of YouTube videos on palliative care: understanding the quality and availability of online resources. Palliative Care and Social Practice 2024;18
    CrossRef
  31. Rammohan R, Magam SG, Joy M, Lau WH, Tadikonda A, Natt D, Magam SR, Pannikodu L, Desai J, Jiyani R, Sheikh S, Bunting S, Anand P, Subramani K, Khan N, Mustacchia P. A Double-Edged Sword: Quality and Credibility of Colon Cancer Screening Content on YouTube. Cureus 2024;
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.1985):

  1. Guzzo T, D’Andrea A, Ferri F, Grifoni P. Social Networks: Analysis and Case Studies. 2014. Chapter 10:233
    CrossRef
  2. Mukherjee SK, Kumar JK, Jha AK, Pandey JR. E-Collaboration Technologies and Strategies for Competitive Advantage Amid Challenging Times. 2021. chapter 5:144
    CrossRef
  3. Sanchez-Bocanegra CL, Sanchez-Laguna F, Sevillano JL. Data Mining in Clinical Medicine. 2015. Chapter 9:131
    CrossRef
  4. McFarland DC, Grassi L, Riba MB. The Complex Role of Patient Trust in Oncology. 2024. Chapter 1:1
    CrossRef