Explore our sister journals here.

Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Citing this Article

Right click to copy or hit: ctrl+c (cmd+c on mac)

Published on 15.05.18 in Vol 20, No 5 (2018): May

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

Works citing "Mapping of Crowdsourcing in Health: Systematic Review"

Perrine Créquit, Ghizlène Mansouri, Mehdi Benchoufi, Alexandre Vivot, Philippe Ravaud

J Med Internet Res 2018 (May 15); 20(5):e187 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.9330):

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

  1. Borda A, Gray K, Fu Y. Research data management in health and biomedical citizen science: practices and prospects. JAMIA Open 2020;3(1):113
    CrossRef
  2. Pratap A, Allred R, Duffy J, Rivera D, Lee HS, Renn BN, Areán PA. Contemporary Views of Research Participant Willingness to Participate and Share Digital Data in Biomedical Research. JAMA Network Open 2019;2(11):e1915717
    CrossRef
  3. Tuerk PW, Schaeffer CM, McGuire JF, Adams Larsen M, Capobianco N, Piacentini J. Adapting Evidence-Based Treatments for Digital Technologies: a Critical Review of Functions, Tools, and the Use of Branded Solutions. Current Psychiatry Reports 2019;21(10)
    CrossRef
  4. Pluye P, Granikov V, Tang DL, Granikov V, Pluye P. Facilitators and barriers associated with the implementation of an innovative cross-disciplinary monitoring of the scientific literature: The Collaborative eBibliography on Mixed Methods (CeBoMM) – A research protocol. Education for Information 2020;36(1):81
    CrossRef
  5. Petrović N, Moyà-Alcover G, Varona J, Jaume-i-Capó A. Crowdsourcing human-based computation for medical image analysis: A systematic literature review. Health Informatics Journal 2020;26(4):2446
    CrossRef
  6. St John-Matthews J, Newton P, Grant A, Robinson L. Crowdsourcing in health professions education: What radiography educators can learn from other disciplines. Radiography 2019;25(2):164
    CrossRef
  7. Bassi H, Lee CJ, Misener L, Johnson AM. Exploring the characteristics of crowdsourcing: An online observational study. Journal of Information Science 2020;46(3):291
    CrossRef
  8. van Niekerk L, Ongkeko A, Hounsell RA, Msiska BK, Mathanga DP, Mothe J, Juban N, Awor P, Balabanova D. Crowdsourcing to identify social innovation initiatives in health in low- and middle-income countries. Infectious Diseases of Poverty 2020;9(1)
    CrossRef
  9. 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
  10. Latkin CA, Dayton L, Yi G, Konstantopoulos A, Boodram B. Trust in a COVID-19 vaccine in the U.S.: A social-ecological perspective. Social Science & Medicine 2021;270:113684
    CrossRef
  11. Vermicelli S, Cricelli L, Grimaldi M. How can crowdsourcing help tackle the COVID‐19 pandemic? An explorative overview of innovative collaborative practices. R&D Management 2021;51(2):183
    CrossRef
  12. Esteva A, Chou K, Yeung S, Naik N, Madani A, Mottaghi A, Liu Y, Topol E, Dean J, Socher R. Deep learning-enabled medical computer vision. npj Digital Medicine 2021;4(1)
    CrossRef
  13. Nguyen VT, Benchoufi M, Young B, Ghosn L, Ravaud P, Boutron I. A scoping review provided a framework for new ways of doing research through mobilizing collective intelligence. Journal of Clinical Epidemiology 2019;110:1
    CrossRef
  14. Renn BN, Hoeft TJ, Lee HS, Bauer AM, Areán PA. Preference for in-person psychotherapy versus digital psychotherapy options for depression: survey of adults in the U.S. npj Digital Medicine 2019;2(1)
    CrossRef
  15. Ren C, Tucker JD, Tang W, Tao X, Liao M, Wang G, Jiao K, Xu Z, Zhao Z, Yan Y, Lin Y, Li C, Wang L, Li Y, Kang D, Ma W. Digital crowdsourced intervention to promote HIV testing among MSM in China: study protocol for a cluster randomized controlled trial. Trials 2020;21(1)
    CrossRef
  16. Kennedy-Metz LR, Mascagni P, Torralba A, Dias RD, Perona P, Shah JA, Padoy N, Zenati MA. Computer Vision in the Operating Room: Opportunities and Caveats. IEEE Transactions on Medical Robotics and Bionics 2021;3(1):2
    CrossRef
  17. Desai A, Warner J, Kuderer N, Thompson M, Painter C, Lyman G, Lopes G. Crowdsourcing a crisis response for COVID-19 in oncology. Nature Cancer 2020;1(5):473
    CrossRef
  18. Wong S, Smith S, Jacova C. Older Adults With Subjective Cognitive Decline Worry About the Emotional Impact of Cognitive Test Results. Alzheimer Disease & Associated Disorders 2020;34(2):135
    CrossRef
  19. Szmelter-Jarosz A, Rześny-Cieplińska J. Priorities of Urban Transport System Stakeholders According to Crowd Logistics Solutions in City Areas. A Sustainability Perspective. Sustainability 2019;12(1):317
    CrossRef
  20. Créquit P, Boutron I, Meerpohl J, Williams HC, Craig J, Ravaud P. Future of evidence ecosystem series: 2. current opportunities and need for better tools and methods. Journal of Clinical Epidemiology 2020;123:143
    CrossRef
  21. Sood E, Wysocki T, Alderfer MA, Aroian K, Christofferson J, Karpyn A, Kazak AE, Pierce J. Topical Review: Crowdsourcing as a Novel Approach to Qualitative Research. Journal of Pediatric Psychology 2021;46(2):189
    CrossRef
  22. 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
  23. Beto JA, Metallinos-Katsaras E, Leung C. Crowdsourcing: A Critical Reflection on This New Frontier of Participant Recruiting in Nutrition and Dietetics Research. Journal of the Academy of Nutrition and Dietetics 2020;120(2):193
    CrossRef
  24. Krusche M, Burmester GR, Knitza J. Digital crowdsourcing: unleashing its power in rheumatology. Annals of the Rheumatic Diseases 2020;79(9):1139
    CrossRef
  25. Porsdam Mann S, Savulescu J, Ravaud P, Benchoufi M. Blockchain, consent and prosent for medical research. Journal of Medical Ethics 2021;47(4):244
    CrossRef
  26. Gardašević G, Katzis K, Bajić D, Berbakov L. Emerging Wireless Sensor Networks and Internet of Things Technologies—Foundations of Smart Healthcare. Sensors 2020;20(13):3619
    CrossRef
  27. Geng Y, Huang P, Huang Y. Crowdsourcing in Nursing Education: A Possibility of Creating a Personalized Online Learning Environment for Student Nurses in the Post-COVID Era. Sustainability 2021;13(6):3413
    CrossRef
  28. Latkin CA, Dayton L, Miller JR, Yi G, Jaleel A, Nwosu CC, Yang C, Falade-Nwulia O. Behavioral and Attitudinal Correlates of Trusted Sources of COVID-19 Vaccine Information in the US. Behavioral Sciences 2021;11(4):56
    CrossRef
  29. Noel-Storr AH, Redmond P, Lamé G, Liberati E, Kelly S, Miller L, Dooley G, Paterson A, Burt J. Crowdsourcing citation-screening in a mixed-studies systematic review: a feasibility study. BMC Medical Research Methodology 2021;21(1)
    CrossRef
  30. Chen D, Shi X, Song X, Chen Z, Zhang H. Phone-based Ambient Temperature Measurement with a New Confidence-based Truth Inference Model. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2022;6(4):1
    CrossRef
  31. Glennie M, Dowden M, Grose M, Scolyer M, Superina A, Gardner K. Engaging Remote Aboriginal Communities in COVID-19 Public Health Messaging via Crowdsourcing. Frontiers in Public Health 2022;10
    CrossRef
  32. Rädsch T, Reinke A, Weru V, Tizabi MD, Schreck N, Kavur AE, Pekdemir B, Roß T, Kopp-Schneider A, Maier-Hein L. Labelling instructions matter in biomedical image analysis. Nature Machine Intelligence 2023;5(3):273
    CrossRef
  33. Ben-Sasson A, Jacobs K, Ben-Sasson E, Joshi R. The feasibility of a crowd-based early developmental milestone tracking application. PLOS ONE 2022;17(5):e0268548
    CrossRef
  34. Latkin C, Dayton L, Miller J, Eschliman E, Yang J, Jamison A, Kong X. Trusted information sources in the early months of the COVID-19 pandemic predict vaccination uptake over one year later. Vaccine 2023;41(2):573
    CrossRef
  35. Latkin C, Dayton L, Bonneau H, Bhaktaram A, Ross J, Pugel J, Latshaw MW. Perceived Barriers to Climate Change Activism Behaviors in the United States Among Individuals Highly Concerned about Climate Change. Journal of Prevention 2023;44(4):389
    CrossRef
  36. Ershad M, Rege R, Fey AM. Adaptive Surgical Robotic Training Using Real-Time Stylistic Behavior Feedback Through Haptic Cues. IEEE Transactions on Medical Robotics and Bionics 2021;3(4):959
    CrossRef
  37. Dayton L, Song W, Kaloustian I, Eschliman E, Strickland J, Latkin C. A longitudinal study of COVID-19 disclosure stigma and COVID-19 testing hesitancy in the United States. Public Health 2022;212:14
    CrossRef
  38. Cheng AC, Wen L, Li Y, Koyama T, Berry LD, Pal T, Friedman DL, Osterman TJ. Follow-up Interactive Long-Term Expert Ranking (FILTER): a crowdsourcing platform to adjudicate risk for survivorship care. JAMIA Open 2021;4(4)
    CrossRef
  39. Upshaw SJ, Jensen JD, Giorgi EA, Pokharel M, Lillie HM, Adams DR, John KK, Wu YP, Grossman D. Developing skin cancer education materials for darker skin populations: crowdsourced design, message targeting, and acral lentiginous melanoma. Journal of Behavioral Medicine 2023;46(3):377
    CrossRef
  40. Sha Y, Li C, Xiong Y, Hazra A, Lio J, Jiang I, Huang H, Kerman J, Molina J, Li L, Liang K, Gong D, Li Q, Wu S, Sherer R, Tucker JD, Tang W. Co-creation using crowdsourcing to promote PrEP adherence in China: study protocol for a stepped-wedge randomized controlled trial. BMC Public Health 2022;22(1)
    CrossRef
  41. Latkin C, Dayton L, Coyle C, Yi G, Winiker A, German D. The association between climate change attitudes and COVID-19 attitudes: The link is more than political ideology✰,✰✰,★. The Journal of Climate Change and Health 2022;5:100099
    CrossRef
  42. Latkin CA, Hendrickson ZM, Dayton L, Bonneau H. Political and Social Drivers of COVID-19 Prevention and Climate Change Behaviors and Attitudes. Climate 2023;11(3):53
    CrossRef
  43. Gaughan MR, Kwon M, Park E, Jungquist C. Nurses' Experience and Perception of Technology Use in Practice. CIN: Computers, Informatics, Nursing 2022;40(7):478
    CrossRef
  44. Aguayo GA, Goetzinger C, Scibilia R, Fischer A, Seuring T, Tran V, Ravaud P, Bereczky T, Huiart L, Fagherazzi G. Methods to Generate Innovative Research Ideas and Improve Patient and Public Involvement in Modern Epidemiological Research: Review, Patient Viewpoint, and Guidelines for Implementation of a Digital Cohort Study. Journal of Medical Internet Research 2021;23(12):e25743
    CrossRef
  45. Latkin C, Dayton L, Scherkoske M, Countess K, Thrul J. What predicts climate change activism?: An examination of how depressive symptoms, climate change distress, and social norms are associated with climate change activism. The Journal of Climate Change and Health 2022;8:100146
    CrossRef
  46. Guo Y, Xie H, Miao Y, Wang C, Jia X. FedCrowd: A Federated and Privacy-Preserving Crowdsourcing Platform on Blockchain. IEEE Transactions on Services Computing 2022;15(4):2060
    CrossRef
  47. 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
  48. Latkin C, Dayton L, Miller J, Yi G, Balaban A, Boodram B, Uzzi M, Falade-Nwulia O. A longitudinal study of vaccine hesitancy attitudes and social influence as predictors of COVID-19 vaccine uptake in the US. Human Vaccines & Immunotherapeutics 2022;18(5)
    CrossRef
  49. Schlicher KD, Schulte J, Reimann M, Maier GW. Flexible, Self-Determined… and Unhealthy? An Empirical Study on Somatic Health Among Crowdworkers. Frontiers in Psychology 2021;12
    CrossRef
  50. Zhang C, Guo Y, Jia X, Wang C, Du H. Enabling Proxy-Free Privacy-Preserving and Federated Crowdsourcing by Using Blockchain. IEEE Internet of Things Journal 2021;8(8):6624
    CrossRef
  51. Taylor CO, Flaks-Manov N, Ramesh S, Choe EK. Willingness to Share Wearable Device Data for Research Among Mechanical Turk Workers: Web-Based Survey Study. Journal of Medical Internet Research 2021;23(10):e19789
    CrossRef
  52. Ghiringhelli C, Piras G, Arbia G, Mira A. Recursive Estimation of the Spatial Error Model. Geographical Analysis 2023;55(1):90
    CrossRef
  53. Latkin C, Dayton L, Coyle C, Yi G, Lee D, Winiker A. The Relationship between Social Norms, Avoidance, Future Orientation, and Willingness to Engage in Climate Change Advocacy Communications. International Journal of Environmental Research and Public Health 2021;18(24):13037
    CrossRef
  54. Latkin CA, Dayton L, Lee D, Yi G, Uzzi M. Correlates of Levels of Willingness to Engage in Climate Change Actions in the United States. International Journal of Environmental Research and Public Health 2021;18(17):9204
    CrossRef
  55. Olsen RG, Genét MF, Konge L, Bjerrum F. Crowdsourced assessment of surgical skills: A systematic review. The American Journal of Surgery 2022;224(5):1229
    CrossRef
  56. Silva GS, Schwamm LH. Advances in Stroke: Digital Health. Stroke 2022;53(3):1004
    CrossRef
  57. Evans LA, Gomez O, Jiménez DJ, Williamson HJ, Carver AT, Parthasarathy S, Sabo S. Engaging Youth and Young Adults in the COVID-19 Pandemic Response via the “It’s Our Turn” Crowdsourcing Contest. International Journal of Environmental Research and Public Health 2023;20(6):5112
    CrossRef
  58. Schucht P, Mathis AM, Murek M, Zubak I, Goldberg J, Falk S, Raabe A. Exploring Novel Innovation Strategies to Close a Technology Gap in Neurosurgery: HORAO Crowdsourcing Campaign. Journal of Medical Internet Research 2023;25:e42723
    CrossRef
  59. Ben-Sasson A, Jacobs K, Ben-Sasson E. Early childhood tracking application: Correspondence between crowd-based developmental percentiles and clinical tools. Health Informatics Journal 2023;29(1):146045822311646
    CrossRef
  60. Akbarpour M, Tawk K, Frank M, Gomez AS, Mostaghni N, Abouzari M. Assessment of laryngologists' ratings on physician review websites. World Journal of Otorhinolaryngology - Head and Neck Surgery 2024;10(1):1
    CrossRef
  61. Rochette A, Thomas A, Salbach NM, Vachon B, Menon A, Poissant L, Boutin M, Grad R, Pluye P. Expected Health Benefits as the Ultimate Outcome of Information Available on Stroke Engine, a Knowledge Translation Stroke Rehabilitation Website: Web-Based Survey. JMIR Rehabilitation and Assistive Technologies 2023;10:e44715
    CrossRef
  62. Kuosmanen E, Huusko E, van Berkel N, Nunes F, Vega J, Goncalves J, Khamis M, Esteves A, Ferreira D, Hosio S. Exploring crowdsourced self-care techniques: A study on Parkinson’s disease. International Journal of Human-Computer Studies 2023;177:103062
    CrossRef
  63. Arbia G, Nardelli V. Using Web-Data to Estimate Spatial Regression Models. International Regional Science Review 2024;47(2):204
    CrossRef
  64. Monaghan J, Backholer K, McKelvey A, Christidis R, Borda A, Calyx C, Crocetti A, Driessen C, Zorbas C. Citizen science approaches to crowdsourcing food environment data: A scoping review of the literature. Obesity Reviews 2023;24(11)
    CrossRef
  65. DeSouza A, Wang D, Wong JJ, Furlan AD, Hogg-Johnson S, Macedo L, Mior S, Côté P. Prevalence of Unmet Rehabilitation Needs Among Canadians Living With Long-term Conditions or Disabilities During the First Wave of the COVID-19 Pandemic. Archives of Physical Medicine and Rehabilitation 2024;105(2):268
    CrossRef
  66. Sescleifer AM, Francoisse CA, Osborn TA, Rector JD, Lin AY. Seeing Cleft Lip from a New Angle: Crowdsourcing to Determine whether Scar Severity or Lip Angle Matters More to the General Public. Plastic & Reconstructive Surgery 2023;152(1):126e
    CrossRef
  67. Konstantopoulos A, Dayton L, Latkin C. The politics of vaccination: a closer look at the beliefs, social norms, and prevention behaviors related to COVID-19 vaccine uptake within two US political parties. Psychology, Health & Medicine 2024;29(3):589
    CrossRef
  68. Zhang E, Trujillo R, Templeton JM, Poellabauer C. A Study on Mobile Crowd Sensing Systems for Healthcare Scenarios. IEEE Access 2023;11:140325
    CrossRef
  69. Latkin CA, Dayton L, Winiker A, Countess K, Hendrickson ZM. ‘They Talk about the Weather, but No One Does Anything about It’: A Mixed-Methods Study of Everyday Climate Change Conversations. International Journal of Environmental Research and Public Health 2024;21(3):279
    CrossRef
  70. Ivanova D, Katsaounis P, Votis K. Increasing the Value of Real-World Crowdsourcing Health Data with e-MetaBio, a Novel Patient-Centric IT Infrastructure. Innovations in Digital Health, Diagnostics, and Biomarkers 2024;4(2024):15
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.9330):

  1. Song MJ, Tabi K, Krausz M. Innovations in Global Mental Health. 2020. Chapter 106-1:1
    CrossRef
  2. Hall DA, Hibbert A, Vesala M, Kerr M, Harrison S. Tinnitus - An Interdisciplinary Approach Towards Individualized Treatment: From Heterogeneity to Personalized Medicine. 2021. :205
    CrossRef
  3. Sathya D. , Sudha V. , Jagadeesan D. . Handbook of Research on Applications and Implementations of Machine Learning Techniques. 2020. chapter 15:289
    CrossRef
  4. Song MJ, Tabi K, Krausz M. Innovations in Global Mental Health. 2021. Chapter 106:535
    CrossRef
  5. Kasturi N, Totad SG, Ghosh G. Emerging Technologies in Data Mining and Information Security. 2023. Chapter 73:747
    CrossRef
  6. Sathya D. , Sudha V. , Jagadeesan D. . Research Anthology on Machine Learning Techniques, Methods, and Applications. 2022. chapter 67:1294
    CrossRef
  7. . Mobile Crowdsourcing. 2023. Chapter 16:409
    CrossRef