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

Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1930) Participatory Medicine & E-Patients (882) Infodemiology and Infoveillance (1569) Public (e)Health, Digital Epidemiology and Public Health Informatics (1031) Peer-to-Peer Support and Online Communities (810) Crowdsourcing and Mechanical Turks (103)

Published on in Vol 16, No 2 (2014): February

Investigating the Congruence of Crowdsourced Information With Official Government Data: The Case of Pediatric Clinics

Investigating the Congruence of Crowdsourced Information With Official Government Data: The Case of Pediatric Clinics

Investigating the Congruence of Crowdsourced Information With Official Government Data: The Case of Pediatric Clinics

Authors of this article:

Minki Kim1 ;   Yuchul Jung2 Author Orcid Image ;   Dain Jung1 ;   Cinyoung Hur3
Article Authors Cited by (4) Tweetations (6) Metrics

Journals

  1. Jung Y, Hur C, Jung D, Kim M. Identifying Key Hospital Service Quality Factors in Online Health Communities. Journal of Medical Internet Research 2015;17(4):e90 View
  2. Zeraatkar K, Ahmadi M. Trends of infodemiology studies: a scoping review. Health Information & Libraries Journal 2018;35(2):91 View
  3. Créquit P, Mansouri G, Benchoufi M, Vivot A, Ravaud P. Mapping of Crowdsourcing in Health: Systematic Review. Journal of Medical Internet Research 2018;20(5):e187 View
  4. Yousefi Kebriya A, Nadi M, Ghanbari Parmehr E, Sun Z. The Correlation Between the Changing Shadegan Wetland Extent and Dust Emission using Remote Sensing Techniques. Journal of Watershed Management Research 2025;16(2):162 View