Published on in Vol 13 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42849, first published .
Evaluation of the Accuracy, Credibility, and Readability of Statin-Related Websites: Cross-Sectional Study

Evaluation of the Accuracy, Credibility, and Readability of Statin-Related Websites: Cross-Sectional Study

Evaluation of the Accuracy, Credibility, and Readability of Statin-Related Websites: Cross-Sectional Study

Journals

  1. Srba I, Razuvayevskaya O, Leite J, Moro R, Schlicht I, Tonelli S, García F, Lottmann S, Teyssou D, Porcellini V, Scarton C, Bontcheva K, Bielikova M. A Survey on Automatic Credibility Assessment Using Textual Credibility Signals in the Era of Large Language Models. ACM Transactions on Intelligent Systems and Technology 2026;17(2):1 View
  2. Boroumand S, Aquilina S, Gu E, Carrillo G, Goss J, Allam O, Alperovich M. A Critical Assessment of the Readability and Ethnic Inclusivity of Online Patient Materials for Microtia. The Cleft Palate Craniofacial Journal 2025 View
  3. Baydar İ, Gördük M. Cholesterol management videos on YouTube: a comprehensive analysis of content and quality. European Journal of Cardiovascular Nursing 2026 View