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Journal of Medical Internet Research

Citing this Article

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Published on 04.06.12 in Vol 14, No 3 (2012): May-Jun

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

Works citing "Using Crowdsourcing Technology for Testing Multilingual Public Health Promotion Materials"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2063):

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

  1. DePalma MT, Rizzotti MC, Branneman M. Assessing Diabetes-Relevant Data Provided by Undergraduate and Crowdsourced Web-Based Survey Participants for Honesty and Accuracy. JMIR Diabetes 2017;2(2):e11
    CrossRef
  2. Short RG, Middleton D, Befera NT, Gondalia R, Tailor TD. Patient-Centered Radiology Reporting: Using Online Crowdsourcing to Assess the Effectiveness of a Web-Based Interactive Radiology Report. Journal of the American College of Radiology 2017;14(11):1489
    CrossRef
  3. Taeihagh A. Crowdsourcing: a new tool for policy-making?. Policy Sciences 2017;50(4):629
    CrossRef
  4. Zide M, Caswell K, Peterson E, Aberle DR, Bui AA, Arnold CW. Consumers’ Patient Portal Preferences and Health Literacy: A Survey Using Crowdsourcing. JMIR Research Protocols 2016;5(2):e104
    CrossRef
  5. Carvalho SW, Silvestre B, Cunningham P. Hitting the Nail on the Head! Insight into Consumer Assessment of Sustainability-Related Innovations. Long Range Planning 2016;
    CrossRef
  6. Chan C, Holosko MJ. An Overview of the Use of Mechanical Turk in Behavioral Sciences. Research on Social Work Practice 2016;26(4):441
    CrossRef
  7. Palacios M, Martinez-Corral A, Nisar A, Grijalvo M. Crowdsourcing and organizational forms: Emerging trends and research implications. Journal of Business Research 2016;69(5):1834
    CrossRef
  8. Johnson PS, Herrmann ES, Johnson MW. Opportunity costs of reward delays and the discounting of hypothetical money and cigarettes. Journal of the Experimental Analysis of Behavior 2015;103(1):87
    CrossRef
  9. DeSmet A, Palmeira A, Beltran A, Brand L, Davies VF, Thompson D. The Yin and Yang of Formative Research in Designing Serious (Exer-)games. Games for Health Journal 2015;4(1):63
    CrossRef
  10. Grasso KL, Bell RA. Understanding Health Information Seeking: A Test of the Risk Perception Attitude Framework. Journal of Health Communication 2015;20(12):1406
    CrossRef
  11. Kuang J, Argo L, Stoddard G, Bray BE, Zeng-Treitler Q. Assessing Pictograph Recognition: A Comparison of Crowdsourcing and Traditional Survey Approaches. Journal of Medical Internet Research 2015;17(12):e281
    CrossRef
  12. Mays D, Tercyak KP. Framing Indoor Tanning Warning Messages to Reduce Skin Cancer Risks Among Young Women: Implications for Research and Policy. American Journal of Public Health 2015;105(8):e70
    CrossRef
  13. Kristan J, Suffoletto B. Using online crowdsourcing to understand young adult attitudes toward expert-authored messages aimed at reducing hazardous alcohol consumption and to collect peer-authored messages. Translational Behavioral Medicine 2015;5(1):45
    CrossRef
  14. Luhmann N, Champagnat J, Golovin S, Maistat L, Agustian E, Inaridze I, Myint WM, Butsashvili M, Bouscaillou J. Access to hepatitis C treatment for people who inject drugs in low and middle income settings: Evidence from 5 countries in Eastern Europe and Asia. International Journal of Drug Policy 2015;26(11):1081
    CrossRef
  15. Ranard BL, Ha YP, Meisel ZF, Asch DA, Hill SS, Becker LB, Seymour AK, Merchant RM. Crowdsourcing—Harnessing the Masses to Advance Health and Medicine, a Systematic Review. Journal of General Internal Medicine 2014;29(1):187
    CrossRef
  16. Weiner M. The Potential of Crowdsourcing to Improve Patient-Centered Care. The Patient - Patient-Centered Outcomes Research 2014;7(2):123
    CrossRef
  17. Cui L, Carter R, Zhang G. Evaluation of a Novel Conjunctive Exploratory Navigation Interface for Consumer Health Information: A Crowdsourced Comparative Study. Journal of Medical Internet Research 2014;16(2):e45
    CrossRef
  18. Brady CJ, Villanti AC, Pearson JL, Kirchner TR, Gupta OP, Shah CP. Rapid Grading of Fundus Photographs for Diabetic Retinopathy Using Crowdsourcing. Journal of Medical Internet Research 2014;16(10):e233
    CrossRef
  19. Hill S, Merchant R, Ungar L. Lessons Learned About Public Health from Online Crowd Surveillance. Big Data 2013;1(3):160
    CrossRef
  20. Yu B, Willis M, Sun P, Wang J. Crowdsourcing Participatory Evaluation of Medical Pictograms Using Amazon Mechanical Turk. Journal of Medical Internet Research 2013;15(6):e108
    CrossRef
  21. Dasgupta N, Freifeld C, Brownstein JS, Menone CM, Surratt HL, Poppish L, Green JL, Lavonas EJ, Dart RC. Crowdsourcing Black Market Prices For Prescription Opioids. Journal of Medical Internet Research 2013;15(8):e178
    CrossRef
  22. Saunders DR, Bex PJ, Woods RL. Crowdsourcing a Normative Natural Language Dataset: A Comparison of Amazon Mechanical Turk and In-Lab Data Collection. Journal of Medical Internet Research 2013;15(5):e100
    CrossRef
  23. Mitry D, Peto T, Hayat S, Morgan JE, Khaw K, Foster PJ, Soyer HP. Crowdsourcing as a Novel Technique for Retinal Fundus Photography Classification: Analysis of Images in the EPIC Norfolk Cohort on Behalf of the UKBiobank Eye and Vision Consortium. PLoS ONE 2013;8(8):e71154
    CrossRef
  24. Zhai H, Lingren T, Deleger L, Li Q, Kaiser M, Stoutenborough L, Solti I. Web 2.0-Based Crowdsourcing for High-Quality Gold Standard Development in Clinical Natural Language Processing. Journal of Medical Internet Research 2013;15(4):e73
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.2063)

:
  1. Chiauzzi E, Eichler G, Wicks P. Oncology Informatics. 2016. :307
    CrossRef