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Citing this Article

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Published on 02.06.15 in Vol 17, No 6 (2015): June

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

Works citing "Automated Detection of HONcode Website Conformity Compared to Manual Detection: An Evaluation"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.3831):

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

  1. Devan H, Perry MA, van Hattem A, Thurlow G, Shepherd S, Muchemwa C, Grainger R. Do pain management websites foster self-management support for people with persistent pain? A scoping review. Patient Education and Counseling 2019;102(9):1590
    CrossRef
  2. Oroszlányová M, Teixeira Lopes C, Nunes S, Ribeiro C. Predicting the quality of health web documents using their characteristics. Online Information Review 2018;42(7):1024
    CrossRef
  3. Boyer C, Frossard C, Gaudinat A, Hanbury A, Falquetd G. How to sort trustworthy health online information? Improvements of the automated detection of HONcode criteria. Procedia Computer Science 2017;121:940
    CrossRef
  4. Alhuwail D, Abdulsalam Y. Assessing Electronic Health Literacy in the State of Kuwait: Survey of Internet Users From an Arab State. Journal of Medical Internet Research 2019;21(5):e11174
    CrossRef
  5. Robillard JM, Jun JH, Lai J, Feng TL. The QUEST for quality online health information: validation of a short quantitative tool. BMC Medical Informatics and Decision Making 2018;18(1)
    CrossRef
  6. Alhuwail D, Abduo H, Alqabandi N, Abu-Ghefreh A, Dawwas B, Halawa N. Engagement and Usage Patterns of a Diabetes Education Website Tailored for Arabic Speakers: A Case Study of a Diabetes Website from Kuwait. Journal of Consumer Health on the Internet 2018;22(4):337
    CrossRef
  7. Azer SA, AlOlayan TI, AlGhamdi MA, AlSanea MA. Inflammatory bowel disease: An evaluation of health information on the internet. World Journal of Gastroenterology 2017;23(9):1676
    CrossRef
  8. Palotti J, Zuccon G, Hanbury A. Consumer Health Search on the Web: Study of Web Page Understandability and Its Integration in Ranking Algorithms. Journal of Medical Internet Research 2019;21(1):e10986
    CrossRef
  9. Issom D, Henriksen A, Woldaregay AZ, Rochat J, Lovis C, Hartvigsen G. Factors Influencing Motivation and Engagement in Mobile Health Among Patients With Sickle Cell Disease in Low-Prevalence, High-Income Countries: Qualitative Exploration of Patient Requirements. JMIR Human Factors 2020;7(1):e14599
    CrossRef
  10. Nath C, Huh J, Adupa AK, Jonnalagadda SR. Website Sharing in Online Health Communities: A Descriptive Analysis. Journal of Medical Internet Research 2016;18(1):e11
    CrossRef
  11. Wang F, Wang Z, Sun W, Yang X, Bian Z, Shen L, Pan W, Liu P, Chen X, Fu L, Zhang F, Luo D. Evaluating the Quality of Health-Related WeChat Public Accounts: Cross-Sectional Study. JMIR mHealth and uHealth 2020;8(5):e14826
    CrossRef
  12. Saunders CH, Petersen CL, Durand M, Bagley PJ, Elwyn G. Bring on the Machines: Could Machine Learning Improve the Quality of Patient Education Materials? A Systematic Search and Rapid Review. JCO Clinical Cancer Informatics 2018;(2):1
    CrossRef
  13. Whitley JA, Kieran K. Accuracy and comprehensiveness of publicly-available online data about bedwetting: An actionable opportunity to improve parent and caregiver self-education. Journal of Pediatric Urology 2020;
    CrossRef
  14. Arslan D, Sami Tutar M, Kozanhan B, Bagci Z. The quality, understandability, readability, and popularity of online educational materials for heart murmur. Cardiology in the Young 2020;30(3):328
    CrossRef
  15. Kinkead L, Allam A, Krauthammer M. AutoDiscern: rating the quality of online health information with hierarchical encoder attention-based neural networks. BMC Medical Informatics and Decision Making 2020;20(1)
    CrossRef
  16. Boyer C, Dolamic L, Falquet G. Language Independent Tokenization vs. Stemming in Automated Detection of Health Websites’ HONcode Conformity: An Evaluation. Procedia Computer Science 2015;64:224
    CrossRef