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Citing this Article

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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)
    CrossRef
  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
    CrossRef
  3. 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
    CrossRef
  4. Alruwaili W, Protano B, Sirigiriraju T, Alhoori H. Using Arabic Tweets to Understand Drug Selling Behaviors. Procedia Computer Science 2019;164:559
    CrossRef
  5. Pulley JM, Rhoads JP, Jerome RN, Challa AP, Erreger KB, Joly MM, Lavieri RR, Perry KE, Zaleski NM, Shirey-Rice JK, Aronoff DM. Using What We Already Have: Uncovering New Drug Repurposing Strategies in Existing Omics Data. Annual Review of Pharmacology and Toxicology 2020;60(1):333
    CrossRef
  6. Khosravi A, Kouhsar M, Goliaei B, Jayaram B, Masoudi-Nejad A. Systematic analysis of genes and diseases using PheWAS-Associated networks. Computers in Biology and Medicine 2019;109:311
    CrossRef
  7. Yildirim P, Kaya A. Clustering of Phentermine HCL Drug from Online Patient Medication Reviews. Procedia Computer Science 2019;151:1146
    CrossRef
  8. 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 2019;20(6):2167
    CrossRef
  9. Kruse RL, Vanijcharoenkarn K. Drug repurposing to treat asthma and allergic disorders: Progress and prospects. Allergy 2018;73(2):313
    CrossRef
  10. Olgen S, Kotra LP. Drug Repurposing in the Development of Anticancer Agents. Current Medicinal Chemistry 2019;26(28):5410
    CrossRef
  11. Alarifi M, Patrick T, Jabour A, Wu M, Luo J. Understanding patient needs and gaps in radiology reports through online discussion forum analysis. Insights into Imaging 2021;12(1)
    CrossRef
  12. Schmidt AL, Rodriguez-Esteban R, Gottowik J, Leddin M. Applications of quantitative social media listening to patient-centric drug development. Drug Discovery Today 2022;27(5):1523
    CrossRef
  13. Goenka L, Dubashi B, Selvarajan S, Ganesan P. Use of “Repurposed” Drugs in the Treatment of Epithelial Ovarian Cancer. American Journal of Clinical Oncology 2022;45(4):168
    CrossRef
  14. Nishiyama T, Yada S, Wakamiya S, Hori S, Aramaki E. Transferability Based on Drug Structure Similarity in the Automatic Classification of Noncompliant Drug Use on Social Media: Natural Language Processing Approach. Journal of Medical Internet Research 2023;25:e44870
    CrossRef
  15. Lee W, Lee S, Kim J, Lee S. A Study on Drug Repositioning Clue Extraction Pipeline Based on Network Analysis in Social Network Services. Journal of Health Informatics and Statistics 2023;48(2):102
    CrossRef
  16. Schmidt L, Mohamed S, Meader N, Bacardit J, Craig D. Automated data analysis of unstructured grey literature in health research: A mapping review. Research Synthesis Methods 2024;15(2):178
    CrossRef
  17. Spies E, Andreu T, Hartung M, Park J, Kamudoni P. Exploring the Perspectives of Patients Living With Lupus: Retrospective Social Listening Study. JMIR Formative Research 2024;8:e52768
    CrossRef

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

  1. Poroikov V, Druzhilovskiy D. In Silico Drug Design. 2019. :3
    CrossRef
  2. Tutubalina E, Nikolenko S. Mining Intelligence and Knowledge Exploration. 2017. Chapter 17:174
    CrossRef