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

Early Results in Infodemiology and Infoveillance (150) Quality/Credibility of eHealth Information and Trust Issues (919) Public (e)Health, Digital Epidemiology and Public Health Informatics (2192) Information Retrieval (481) Information Quality in Digital Media (444)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44010, first published .
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Critical Analysis and Cross-Comparison Between English and Chinese Websites Providing Online Medical Information for Patients With Adenoid Hypertrophy: Cross-sectional Study

Critical Analysis and Cross-Comparison Between English and Chinese Websites Providing Online Medical Information for Patients With Adenoid Hypertrophy: Cross-sectional Study

Authors of this article:

Zheng Jiang1 Author Orcid Image ;   Xin Yang1 Author Orcid Image ;   Fei Chen1 Author Orcid Image ;   Jun Liu1 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Hao D, Tang L, Li D, Miao S, Dong C, Cui J, Gao C, Li J. Feasibility study of fully automatic measurement of adenoid size on lateral neck and head radiographs using deep learning. Pediatric Radiology 2025;55(9):1891 View
  2. Huang C, Zou Y, Zhong L, Chen S, Lin J, Luo Y, Jiang W. Videos on Bilibili, TikTok, and Xiaohongshu as Sources of Medical Information on Adenoid Hypertrophy: Cross-Sectional Content Analysis. JMIR Formative Research 2026;10:e82923 View