Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Monday, March 11, 2019 at 4:00 PM to 4:30 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Citing this Article

Right click to copy or hit: ctrl+c (cmd+c on mac)

Published on 09.05.18 in Vol 4, No 2 (2018): Apr-Jun

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

Works citing "Causality Patterns for Detecting Adverse Drug Reactions From Social Media: Text Mining Approach"

According to Crossref, the following articles are citing this article (DOI 10.2196/publichealth.8214):

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

  1. Can U, Alatas B. A new direction in social network analysis: Online social network analysis problems and applications. Physica A: Statistical Mechanics and its Applications 2019;535:122372
  2. Arnoux-Guenegou A, Girardeau Y, Chen X, Deldossi M, Aboukhamis R, Faviez C, Dahamna B, Karapetiantz P, Guillemin-Lanne S, Lillo-Le Lou√ęt A, Texier N, Burgun A, Katsahian S. The Adverse Drug Reactions From Patient Reports in Social Media Project: Protocol for an Evaluation Against a Gold Standard. JMIR Research Protocols 2019;8(5):e11448
  3. Sandalova E, Ledford JG, Baskaran M, Dijkstra S. Translational Medicine in the Era of Social Media: A Survey of Scientific and Clinical Communities. Frontiers in Medicine 2019;6