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

eHealth Literacy / Digital Literacy (479) Information Quality in Digital Media (382) Information Retrieval (327) Consumer & Patient Education and Shared-Decision Making (779) Infodemiology and Infoveillance (1483)

Published on in Vol 24, No 5 (2022): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36835, first published .
Readability of English, German, and Russian Disease-Related Wikipedia Pages: Automated Computational Analysis

Readability of English, German, and Russian Disease-Related Wikipedia Pages: Automated Computational Analysis

Readability of English, German, and Russian Disease-Related Wikipedia Pages: Automated Computational Analysis

Authors of this article:

Jelizaveta Gordejeva1 Author Orcid Image ;   Richard Zowalla1, 2, 3 Author Orcid Image ;   Monika Pobiruchin2, 4 Author Orcid Image ;   Martin Wiesner1, 2 Author Orcid Image
Article Authors Cited by (4) Tweetations (12) Metrics

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  1. Yang H, Gonçalves T. Improving Consumer Health Search with Field-Level Learning-to-Rank Techniques. Information 2024;15(11):695 View
  2. Naveed M. Readability of wikipedia pages on COVID-19. Universal Access in the Information Society 2025;24(2):1747 View
  3. Thiem S, Küppers L, Aretz B, Bozorgmehr A, Karimzadeh A, Leupold F, Weltermann B. Language complexity of patient-physician chat communication on hypertension control: results of the cluster-randomised PIA study. BMC Medicine 2025;23(1) View
  4. Sinha K, Lipinski A, Starr M. Readability and Quality Analysis of Online Patient Educational Materials Related to Common Eye Diseases. Journal of Consumer Health on the Internet 2025:1 View