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Citing this Article

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Published on 15.11.16 in Vol 18, No 11 (2016): November

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

Works citing "Comparing Twitter and Online Panels for Survey Recruitment of E-Cigarette Users and Smokers"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.6326):

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

  1. Landmesser A, Scherer M, Pluym N, Sarkar M, Edmiston J, Niessner R, Scherer G. Biomarkers of Exposure Specific to E-vapor Products Based on Stable-Isotope Labeled Ingredients. Nicotine & Tobacco Research 2019;21(3):314
    CrossRef
  2. Wang-Schweig M, Miller BA, Buller DB, Byrnes HF, Bourdeau B, Rogers V. Using Panel Vendors for Recruitment Into a Web-Based Family Prevention Program: Methodological Considerations. Evaluation & the Health Professions 2019;42(1):24
    CrossRef
  3. Pozzar R, Hammer M, Underhill-Blazey M, Wright AA, Tulsky JA, Hong F, Gundersen DA, Berry DL. Bots and Other Bad Actors: Threats to Data Quality following Research Participant Recruitment through Social Media (Preprint). Journal of Medical Internet Research 2020;
    CrossRef
  4. Cahill TJ, Wertz B, Zhong Q, Parlato A, Donegan J, Forman R, Manot S, Wu T, Xu Y, Cummings JJ, Norkunas Cunningham T, Wang C. The Search for Consumers of Web-Based Raw DNA Interpretation Services: Using Social Media to Target Hard-to-Reach Populations. Journal of Medical Internet Research 2019;21(7):e12980
    CrossRef
  5. Lee HH, Hsieh YP, Murphy J, Tidey JW, Savitz DA. Health Research Using Facebook to Identify and Recruit Pregnant Women Who Use Electronic Cigarettes: Internet-Based Nonrandomized Pilot Study. JMIR Research Protocols 2019;8(10):e12444
    CrossRef
  6. Walczak S. Artificial Neural Network Research in Online Social Networks. International Journal of Virtual Communities and Social Networking 2018;10(4):1
    CrossRef
  7. Manning K, Garey L, Mayorga NA, Nizio P, Zvolensky MJ. Predicting electronic cigarette dependence and perceived barriers for electronic cigarette cessation: examining the roles of fatigue severity and emotion dysregulation. Fatigue: Biomedicine, Health & Behavior 2020;8(1):11
    CrossRef
  8. Sanchez C, Grzenda A, Varias A, Widge AS, Carpenter LL, McDonald WM, Nemeroff CB, Kalin NH, Martin G, Tohen M, Filippou-Frye M, Ramsey D, Linos E, Mangurian C, Rodriguez CI. Social media recruitment for mental Health Research: A systematic review. Comprehensive Psychiatry 2020;:152197
    CrossRef
  9. Morean ME, Lederman IR. Prevalence and correlates of medical cannabis patients' use of cannabis for recreational purposes. Addictive Behaviors 2019;93:233
    CrossRef
  10. Guillory J, Kim AE, Fiacco L, Cress M, Pepper J, Nonnemaker J. An Experimental Study of Nicotine Warning Statements in E-cigarette Tweets. Nicotine & Tobacco Research 2020;22(5):814
    CrossRef
  11. Manning K, Garey L, Viana AG, Smit T, Zvolensky MJ. The moderating role of anxiety sensitivity in terms of fatigue severity and e-cigarette use expectancies. Journal of Health Psychology 2020;:135910532092653
    CrossRef
  12. Pitas NAD, Mowen AJ, Mueller JT, Taff BD, Graefe A. The role of values, ideologies, and attitudes in shaping public support for privatization in local park and recreation services. Journal of Leisure Research 2020;51(1):16
    CrossRef
  13. Guillory J, Wiant KF, Farrelly M, Fiacco L, Alam I, Hoffman L, Crankshaw E, Delahanty J, Alexander TN. Recruiting Hard-to-Reach Populations for Survey Research: Using Facebook and Instagram Advertisements and In-Person Intercept in LGBT Bars and Nightclubs to Recruit LGBT Young Adults. Journal of Medical Internet Research 2018;20(6):e197
    CrossRef
  14. Cavallo D, Lim R, Ishler K, Pagano M, Perovsek R, Albert E, Koopman Gonzalez S, Trapl E, Flocke S. Effectiveness of Social Media Approaches to Recruiting Young Adult Cigarillo Smokers: Cross-Sectional Study. Journal of Medical Internet Research 2020;22(7):e12619
    CrossRef
  15. Bian J, Zhao Y, Salloum RG, Guo Y, Wang M, Prosperi M, Zhang H, Du X, Ramirez-Diaz LJ, He Z, Sun Y. Using Social Media Data to Understand the Impact of Promotional Information on Laypeople’s Discussions: A Case Study of Lynch Syndrome. Journal of Medical Internet Research 2017;19(12):e414
    CrossRef
  16. Cornet VP, Toscos T, Bolchini D, Rohani Ghahari R, Ahmed R, Daley C, Mirro MJ, Holden RJ. Untold Stories in User-Centered Design of Mobile Health: Practical Challenges and Strategies Learned From the Design and Evaluation of an App for Older Adults With Heart Failure. JMIR mHealth and uHealth 2020;8(7):e17703
    CrossRef
  17. Daniulaityte R, Zatreh MY, Lamy FR, Nahhas RW, Martins SS, Sheth A, Carlson RG. A Twitter-based survey on marijuana concentrate use. Drug and Alcohol Dependence 2018;187:155
    CrossRef
  18. Murphy J, Hsieh YP, Wenger M, Kim AE, Chew R. Supplementing a survey with respondent Twitter data to measure e-cigarette information exposure. Information, Communication & Society 2019;22(5):622
    CrossRef