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Citing this Article

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Published on 09.03.18 in Vol 20, No 3 (2018): March

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

Works citing "Ethical Concerns of and Risk Mitigation Strategies for Crowdsourcing Contests and Innovation Challenges: Scoping Review"

Joseph D Tucker, Stephen W Pan, Allison Mathews, Gabriella Stein, Barry Bayus, Stuart Rennie

J Med Internet Res 2018 (Mar 09); 20(3):e75 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.8226):

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

  1. Tucker JD, Day S, Tang W, Bayus B. Crowdsourcing in medical research: concepts and applications. PeerJ 2019;7:e6762
    CrossRef
  2. Adamik A, Nowicki M. Pathologies and Paradoxes of Co-Creation: A Contribution to the Discussion about Corporate Social Responsibility in Building a Competitive Advantage in the Age of Industry 4.0. Sustainability 2019;11(18):4954
    CrossRef
  3. Cheng W, Wang C, Tang W, Ong JJ, Fu H, Marks M, Smith MK, Li C, Nie J, Zhao P, Zheng H, Yang B, Tucker JD. Promoting routine syphilis screening among men who have sex with men in China: study protocol for a randomised controlled trial of syphilis self-testing and lottery incentive. BMC Infectious Diseases 2020;20(1)
    CrossRef
  4. Wu D, Ong JJ, Tang W, Ritchwood TD, Walker JS, Iwelunmor J, Tucker JD. Crowdsourcing Methods to Enhance HIV and Sexual Health Services: A Scoping Review and Qualitative Synthesis. JAIDS Journal of Acquired Immune Deficiency Syndromes 2019;82(3):S271
    CrossRef
  5. Wang , Xia , Li , Wang . A Bibliometric Analysis of Crowdsourcing in the Field of Public Health. International Journal of Environmental Research and Public Health 2019;16(20):3825
    CrossRef
  6. Nguyen VT, Young B, Ravaud P, Naidoo N, Benchoufi M, Boutron I. Overcoming Barriers to Mobilizing Collective Intelligence in Research: Qualitative Study of Researchers With Experience of Collective Intelligence. Journal of Medical Internet Research 2019;21(7):e13792
    CrossRef
  7. Groh M, Harris C, Daneshjou R, Badri O, Koochek A. Towards Transparency in Dermatology Image Datasets with Skin Tone Annotations by Experts, Crowds, and an Algorithm. Proceedings of the ACM on Human-Computer Interaction 2022;6(CSCW2):1
    CrossRef
  8. Han L, Tang W, Ritchwood T, Day S, Wei S, Bao H, John R, Kpokiri E, Mathanga D, Awor P, Juban N, Castro-Arroyave D, Ambil V, Xiong Y, Oppong E, Tucker J. Joint international consensus statement on crowdsourcing challenge contests in health and medicine: results of a modified Delphi process. BMJ Open 2021;11(11):e048699
    CrossRef
  9. Tan RKJ, Wu D, Day S, Zhao Y, Larson HJ, Sylvia S, Tang W, Tucker JD. Digital approaches to enhancing community engagement in clinical trials. npj Digital Medicine 2022;5(1)
    CrossRef
  10. Day S, Rennie S. Data science research in sub-Saharan Africa: Ethical considerations in crowdsourcing for community engagement. South African Journal of Science 2023;119(5/6)
    CrossRef