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Citing this Article

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Published on 16.12.15 in Vol 17, No 12 (2015): December

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

Works citing "Establishing a Link Between Prescription Drug Abuse and Illicit Online Pharmacies: Analysis of Twitter Data"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.5144):

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

  1. Smart R, Kase CA, Taylor EA, Stein BD. Strengths and Weaknesses of Existing Data Sources to Support Research to Address the Opioids Crisis. Preventive Medicine Reports 2019;:101015
    CrossRef
  2. Palamar JJ, Le A, Acosta P. Posting, texting, and related social risk behavior while high. Substance Abuse 2019;:1
    CrossRef
  3. Raghupathi V, Zhou Y, Raghupathi W. Exploring Big Data Analytic Approaches to Cancer Blog Text Analysis. International Journal of Healthcare Information Systems and Informatics 2019;14(4):1
    CrossRef
  4. Li J, Xu Q, Shah N, Mackey TK. A Machine Learning Approach for the Detection and Characterization of Illicit Drug Dealers on Instagram: Model Evaluation Study. Journal of Medical Internet Research 2019;21(6):e13803
    CrossRef
  5. Sarker A, DeRoos A, Perrone J. Mining social media for prescription medication abuse monitoring: a review and proposal for a data-centric framework. Journal of the American Medical Informatics Association 2019;
    CrossRef
  6. Sarker A, Gonzalez-Hernandez G, Ruan Y, Perrone J. Machine Learning and Natural Language Processing for Geolocation-Centric Monitoring and Characterization of Opioid-Related Social Media Chatter. JAMA Network Open 2019;2(11):e1914672
    CrossRef
  7. Zeraatkar K, Ahmadi M. Trends of infodemiology studies: a scoping review. Health Information & Libraries Journal 2018;35(2):91
    CrossRef
  8. Mackey T, Kalyanam J, Klugman J, Kuzmenko E, Gupta R. Solution to Detect, Classify, and Report Illicit Online Marketing and Sales of Controlled Substances via Twitter: Using Machine Learning and Web Forensics to Combat Digital Opioid Access. Journal of Medical Internet Research 2018;20(4):e10029
    CrossRef
  9. Pinyopornpanish K, Jiraporncharoen W, Thaikla K, Yoonut K, Angkurawaranon C. Sedative and Analgesic Drugs Online: A Content Analysis of the Supply and Demand Information Available in Thailand. Substance Use & Misuse 2018;53(4):641
    CrossRef
  10. Myrseth H, Pallesen S, Torsheim T, Erevik EK. Prevalence and correlates of stimulant and depressant pharmacological cognitive enhancement among Norwegian students. Nordic Studies on Alcohol and Drugs 2018;35(5):372
    CrossRef
  11. Schwab-Reese LM, Hovdestad W, Tonmyr L, Fluke J. The potential use of social media and other internet-related data and communications for child maltreatment surveillance and epidemiological research: Scoping review and recommendations. Child Abuse & Neglect 2018;85:187
    CrossRef
  12. Thaikla K, Pinyopornpanish K, Jiraporncharoen W, Angkurawaranon C. Cannabis and Kratom online information in Thailand: Facebook trends 2015–2016. Substance Abuse Treatment, Prevention, and Policy 2018;13(1)
    CrossRef
  13. Burke-Garcia A, Stanton CA. A tale of two tools: Reliability and feasibility of social media measurement tools examining e-cigarette twitter mentions. Informatics in Medicine Unlocked 2017;8:8
    CrossRef
  14. Kalyanam J, Mackey TK. A Review of Digital Surveillance Methods and Approaches to Combat Prescription Drug Abuse. Current Addiction Reports 2017;4(4):397
    CrossRef
  15. Paul MJ, Dredze M. Social Monitoring for Public Health. Synthesis Lectures on Information Concepts, Retrieval, and Services 2017;9(5):1
    CrossRef
  16. Kalyanam J, Katsuki T, R.G. Lanckriet G, Mackey TK. Exploring trends of nonmedical use of prescription drugs and polydrug abuse in the Twittersphere using unsupervised machine learning. Addictive Behaviors 2017;65:289
    CrossRef
  17. Guerra C, Mackey TK. USA Criminal and Civil Prosecutions Associated with Illicit Online Pharmacies: Legal Analysis and Global Implications. Medicine Access @ Point of Care 2017;1:maapoc.0000020
    CrossRef
  18. Mackey TK, Kalyanam J. Detection of illicit online sales of fentanyls via Twitter. F1000Research 2017;6:1937
    CrossRef
  19. Mackey TK, Nayyar G. A review of existing and emerging digital technologies to combat the global trade in fake medicines. Expert Opinion on Drug Safety 2017;16(5):587
    CrossRef
  20. Zwier S. “Click for Closer Care”: A Content Analysis of Community Pharmacy Websites in Four Countries. Journal of Medical Internet Research 2017;19(6):e205
    CrossRef
  21. Carreiro S, Chai PR, Carey J, Chapman B, Boyer EW. Integrating Personalized Technology in Toxicology: Sensors, Smart Glass, and Social Media Applications in Toxicology Research. Journal of Medical Toxicology 2017;13(2):166
    CrossRef
  22. Mackey TK, Kalyanam J, Katsuki T, Lanckriet G. Twitter-Based Detection of Illegal Online Sale of Prescription Opioid. American Journal of Public Health 2017;107(12):1910
    CrossRef
  23. Kim SJ, Marsch LA, Hancock JT, Das AK. Scaling Up Research on Drug Abuse and Addiction Through Social Media Big Data. Journal of Medical Internet Research 2017;19(10):e353
    CrossRef
  24. Daniulaityte R, Chen L, Lamy FR, Carlson RG, Thirunarayan K, Sheth A. “When ‘Bad’ is ‘Good’”: Identifying Personal Communication and Sentiment in Drug-Related Tweets. JMIR Public Health and Surveillance 2016;2(2):e162
    CrossRef
  25. Mackey TK, Nayyar G. Digital danger: a review of the global public health, patient safety and cybersecurity threats posed by illicit online pharmacies. British Medical Bulletin 2016;118(1):110
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.5144)

:
  1. Del Vigna F, Petrocchi M, Tommasi A, Zavattari C, Tesconi M. Social Informatics. 2016. Chapter 31:494
    CrossRef
  2. Del Vigna F, Avvenuti M, Bacciu C, Deluca P, Petrocchi M, Marchetti A, Tesconi M. Advances in Intelligent Data Analysis XV. 2016. Chapter 8:86
    CrossRef