IDEAS home Printed from https://ideas.repec.org/a/spr/drugsa/v40y2017i2d10.1007_s40264-016-0498-6.html
   My bibliography  Save this article

Authors’ Reply to Jouanjus and Colleagues’ Comment on “Social Media Mining for Toxicovigilance: Automatic Monitoring of Prescription Medication Abuse from Twitter”

Author

Listed:
  • Abeed Sarker

    (University of Pennsylvania)

  • Dan Malone

    (University of Arizona)

  • Graciela Gonzalez

    (University of Pennsylvania)

Abstract

No abstract is available for this item.

Suggested Citation

  • Abeed Sarker & Dan Malone & Graciela Gonzalez, 2017. "Authors’ Reply to Jouanjus and Colleagues’ Comment on “Social Media Mining for Toxicovigilance: Automatic Monitoring of Prescription Medication Abuse from Twitter”," Drug Safety, Springer, vol. 40(2), pages 187-188, February.
  • Handle: RePEc:spr:drugsa:v:40:y:2017:i:2:d:10.1007_s40264-016-0498-6
    DOI: 10.1007/s40264-016-0498-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40264-016-0498-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s40264-016-0498-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Emilie Jouanjus & Michel Mallaret & Joëlle Micallef & Camille Ponté & Anne Roussin & Maryse Lapeyre-Mestre, 2017. "Comment on: "Social Media Mining for Toxicovigilance: Automatic Monitoring of Prescription Medication Abuse from Twitter"," Drug Safety, Springer, vol. 40(2), pages 183-185, February.
    2. Abeed Sarker & Karen O’Connor & Rachel Ginn & Matthew Scotch & Karen Smith & Dan Malone & Graciela Gonzalez, 2016. "Social Media Mining for Toxicovigilance: Automatic Monitoring of Prescription Medication Abuse from Twitter," Drug Safety, Springer, vol. 39(3), pages 231-240, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Javier Jiménez-Cabas & Lizeth Torres & Jorge de J. Lozoya-Santos, 2023. "Twitter Data Mining for the Diagnosis of Leaks in Drinking Water Distribution Networks," Sustainability, MDPI, vol. 15(6), pages 1-16, March.
    2. Bissan Audeh & Florelle Bellet & Marie-Noëlle Beyens & Agnès Lillo-Le Louët & Cédric Bousquet, 2020. "Use of Social Media for Pharmacovigilance Activities: Key Findings and Recommendations from the Vigi4Med Project," Drug Safety, Springer, vol. 43(9), pages 835-851, September.
    3. Suppawong Tuarob & Thanapon Noraset & Tanisa Tawichsri, 2022. "Using Large-Scale Social Media Data for Population-Level Mental Health Monitoring and Public Sentiment Assessment: A Case Study of Thailand," PIER Discussion Papers 169, Puey Ungphakorn Institute for Economic Research.
    4. Marco D. Huesch, 2017. "Commercial Online Social Network Data and Statin Side-Effect Surveillance: A Pilot Observational Study of Aggregate Mentions on Facebook," Drug Safety, Springer, vol. 40(12), pages 1199-1204, December.
    5. Jiaojiao Xu & Chuanjie Yan & Yangyang Su & Yong Liu, 2020. "Analysis of high-rise building safety detection methods based on big data and artificial intelligence," International Journal of Distributed Sensor Networks, , vol. 16(6), pages 15501477209, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:drugsa:v:40:y:2017:i:2:d:10.1007_s40264-016-0498-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com/economics/journal/40264 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.