RefCheck Maintenance Notice

On Monday, December 3, 2018, from 16:00-18:00 EST, RefCheck will be undergoing maintenance. RefCheck is the process where, during copyediting, all references are extracted from the manuscript file, parsed, matched against various databases (eg, PubMed and CrossRef), and automatically corrected. For more information on RefCheck, please visit our Knowledge Base.

Who will be affected?

Citing this Article

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

Published on 16.06.16 in Vol 5, No 2 (2016): Apr-Jun

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

Works citing "Using Social Media Data to Identify Potential Candidates for Drug Repurposing: A Feasibility Study"

According to Crossref, the following articles are citing this article (DOI 10.2196/resprot.5621):

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

  1. Ozsoy MG, Özyer T, Polat F, Alhajj R. Realizing drug repositioning by adapting a recommendation system to handle the process. BMC Bioinformatics 2018;19(1)
  2. Bollegala D, Maskell S, Sloane R, Hajne J, Pirmohamed M. Causality Patterns for Detecting Adverse Drug Reactions From Social Media: Text Mining Approach. JMIR Public Health and Surveillance 2018;4(2):e51
  3. Naderi M, Lemoine JM, Govindaraj RG, Kana OZ, Feinstein WP, Brylinski M. Binding site matching in rational drug design: algorithms and applications. Briefings in Bioinformatics 2018;
  4. Kruse RL, Vanijcharoenkarn K. Drug repurposing to treat asthma and allergic disorders: Progress and prospects. Allergy 2018;73(2):313
  5. Tutubalina E, Nikolenko S. Combination of Deep Recurrent Neural Networks and Conditional Random Fields for Extracting Adverse Drug Reactions from User Reviews. Journal of Healthcare Engineering 2017;2017:1

According to Crossref, the following books are citing this article (DOI 10.2196/resprot.5621)

  1. Tutubalina E, Nikolenko S. Mining Intelligence and Knowledge Exploration. 2017. Chapter 17:174