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Citing this Article

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Published on 07.03.12 in Vol 14, No 2 (2012): Mar-Apr

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

Works citing "Crowdsourced Health Research Studies: An Important Emerging Complement to Clinical Trials in the Public Health Research Ecosystem"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.1988):

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

  1. Sims MH, Hodges Shaw M, Gilbertson S, Storch J, Halterman MW. Legal and ethical issues surrounding the use of crowdsourcing among healthcare providers. Health Informatics Journal 2018;:146045821879659
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  5. Wong AY, Lauridsen HH, Samartzis D, Macedo L, Ferreira PH, Ferreira ML. Crowdsourcing to solicit global consensus from clinicians regarding low back pain outcome indicators for older adults (Preprint). JMIR Rehabilitation and Assistive Technologies 2018;
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  6. Merolli M, Busuttil M, Wåhlin C, Green A. Global communication practices of physiotherapists on Twitter. European Journal of Physiotherapy 2018;:1
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  7. Skylakha S, Sakthivel P, Arunselvan KS. Empirical study on application of machine learning techniques for resource allocation in health care using KPI. The Journal of Supercomputing 2018;
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  9. Fernández D, Harel D, Ipeirotis P, McAllister T. Statistical considerations for crowdsourced perceptual ratings of human speech productions. Journal of Applied Statistics 2018;:1
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  10. Tariq Q, Daniels J, Schwartz JN, Washington P, Kalantarian H, Wall DP, Saria S. Mobile detection of autism through machine learning on home video: A development and prospective validation study. PLOS Medicine 2018;15(11):e1002705
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  11. Paul JD, Buytaert W, Allen S, Ballesteros-Cánovas JA, Bhusal J, Cieslik K, Clark J, Dugar S, Hannah DM, Stoffel M, Dewulf A, Dhital MR, Liu W, Nayaval JL, Neupane B, Schiller A, Smith PJ, Supper R. Citizen science for hydrological risk reduction and resilience building. Wiley Interdisciplinary Reviews: Water 2018;5(1):e1262
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  14. Wazny K. Applications of crowdsourcing in health: an overview. Journal of Global Health 2018;8(1)
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  16. Daniels J, Schwartz J, Albert N, Du M, Wall DP. The GapMap project: a mobile surveillance system to map diagnosed autism cases and gaps in autism services globally. Molecular Autism 2017;8(1)
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  20. Geofrey A, Kipanyula MJ, Fue K, Sanga C. Understanding Strategies for Implementing Integrated Information Systems for Rabies Surveillance. International Journal of User-Driven Healthcare 2017;7(1):13
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  21. Albert N, Daniels J, Schwartz J, Du M, Wall DP. GapMap: Enabling Comprehensive Autism Resource Epidemiology. JMIR Public Health and Surveillance 2017;3(2):e27
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  22. Lavallee DC, Comstock B, Scott MR, Avins AL, Nerenz DR, Edwards TC, Patrick DL, Lawrence SO, Bauer Z, Truitt AR, Jarvik JG. Study of Methods for Assessing Research Topic Elicitation and pRioritization (SMARTER): Study Protocol to Compare Qualitative Research Methods and Advance Patient Engagement in Research. JMIR Research Protocols 2017;6(9):e168
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  23. Annad O, Bendaoud A, Goria S. Web information monitoring and crowdsourcing for promoting and enhancing the Algerian geoheritage. Arabian Journal of Geosciences 2017;10(13)
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  24. Sze YY, Stein JS, Bickel WK, Paluch RA, Epstein LH. Bleak Present, Bright Future: Online Episodic Future Thinking, Scarcity, Delay Discounting, and Food Demand. Clinical Psychological Science 2017;5(4):683
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  25. López JD, Osorio R, Moreno L, Gomez J, López F, Vilardy A, Gutierrez J, Gomez L, Veléz F, Mastorakis N, Mladenov V, Bulucea A. Crowdsourcing as an IT help tool to determine impact in the health sector. MATEC Web of Conferences 2017;125:04018
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  26. Wazny K. Crowdsourcing’s ten years in: A review. Journal of Global Health 2017;7(2)
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  27. Tucker JD. Crowdsourcing to promote HIV testing among MSM in China: study protocol for a stepped wedge randomized controlled trial. Trials 2017;18(1)
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  28. Gammon D, Strand M, Eng LS, Børøsund E, Varsi C, Ruland C. Shifting Practices Toward Recovery-Oriented Care Through an E-Recovery Portal in Community Mental Health Care: A Mixed-Methods Exploratory Study. Journal of Medical Internet Research 2017;19(5):e145
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  29. Yank V, Agarwal S, Loftus P, Asch S, Rehkopf D. Crowdsourced Health Data: Comparability to a US National Survey, 2013–2015. American Journal of Public Health 2017;107(8):1283
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  30. Khazanie P, Krumholz HM, Kiefe CI, Kressin NR, Wells B, Wang TY, Peterson ED. Priorities for Cardiovascular Outcomes Research. Circulation: Cardiovascular Quality and Outcomes 2017;10(7)
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  31. Probst T, Pryss RC, Langguth B, Spiliopoulou M, Landgrebe M, Vesala M, Harrison S, Schobel J, Reichert M, Stach M, Schlee W. Outpatient Tinnitus Clinic, Self-Help Web Platform, or Mobile Application to Recruit Tinnitus Study Samples?. Frontiers in Aging Neuroscience 2017;9
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  32. Aramaki E, Shikata S, Ayaya S, Kumagaya S. Crowdsourced Identification of Possible Allergy-Associated Factors: Automated Hypothesis Generation and Validation Using Crowdsourcing Services. JMIR Research Protocols 2017;6(5):e83
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  33. Duda M, Haber N, Daniels J, Wall DP. Crowdsourced validation of a machine-learning classification system for autism and ADHD. Translational Psychiatry 2017;7(5):e1133
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  34. Talikka M, Bukharov N, Hayes WS, Hofmann-Apitius M, Alexopoulos L, Peitsch MC, Hoeng J. Novel approaches to develop community-built biological network models for potential drug discovery. Expert Opinion on Drug Discovery 2017;:1
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  35. Wexler A, Hamilton RH. Crowdsourced tDCS Research: Feasible or Fanciful?. AJOB Neuroscience 2017;8(1):50
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  36. Pasman WJ, Boessen R, Donner Y, Clabbers N, Boorsma A. Effect of Caffeine on Attention and Alertness Measured in a Home-Setting, Using Web-Based Cognition Tests. JMIR Research Protocols 2017;6(9):e169
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  37. Dyson MP, Shave K, Fernandes RM, Scott SD, Hartling L. Outcomes in Child Health: Exploring the Use of Social Media to Engage Parents in Patient-Centered Outcomes Research. Journal of Medical Internet Research 2017;19(3):e78
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  38. Lee YJ, Arida JA, Donovan HS. The application of crowdsourcing approaches to cancer research: a systematic review. Cancer Medicine 2017;6(11):2595
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  39. Hoxha J, Weng C. Leveraging dialog systems research to assist biomedical researchers’ interrogation of Big Clinical Data. Journal of Biomedical Informatics 2016;61:176
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  40. Almalki M, Gray K, Martin-Sanchez F. Activity Theory as a Theoretical Framework for Health Self-Quantification: A Systematic Review of Empirical Studies. Journal of Medical Internet Research 2016;18(5):e131
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  41. Frossard VC, Dias MCM. O impacto da internet na interação entre pacientes: novos cenários em saúde. Interface - Comunicação, Saúde, Educação 2016;20(57):349
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  42. Shelgikar AV, Anderson PF, Stephens MR. Sleep Tracking, Wearable Technology, and Opportunities for Research and Clinical Care. Chest 2016;150(3):732
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  43. Vallabh P, Lotz-Sisitka H, O'Donoghue R, Schudel I. Mapping epistemic cultures and learning potential of participants in citizen science projects. Conservation Biology 2016;30(3):540
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  44. Koufopoulos JT, Conner MT, Gardner PH, Kellar I. A Web-Based and Mobile Health Social Support Intervention to Promote Adherence to Inhaled Asthma Medications: Randomized Controlled Trial. Journal of Medical Internet Research 2016;18(6):e122
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  45. Vayena E, Brownsword R, Edwards SJ, Greshake B, Kahn JP, Ladher N, Montgomery J, O'Connor D, O'Neill O, Richards MP, Rid A, Sheehan M, Wicks P, Tasioulas J. Research led by participants: a new social contract for a new kind of research. Journal of Medical Ethics 2016;42(4):216
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  46. De Grandis G, Halgunset V. Conceptual and terminological confusion around personalised medicine: a coping strategy. BMC Medical Ethics 2016;17(1)
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  47. Winickoff DE, Jamal L, Anderson NR. New modes of engagement for big data research. Journal of Responsible Innovation 2016;3(2):169
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  48. Ling R, Lee J. Disease Monitoring and Health Campaign Evaluation Using Google Search Activities for HIV and AIDS, Stroke, Colorectal Cancer, and Marijuana Use in Canada: A Retrospective Observational Study. JMIR Public Health and Surveillance 2016;2(2):e156
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  49. Szkuta K, Osimo D. Rebooting science? Implications of science 2.0 main trends for scientific method and research institutions. Foresight 2016;18(3):204
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  50. Jane Budge E, Maria Tsoti S, James Howgate D, Sivakumar S, Jalali M. Collective intelligence for translational medicine: Crowdsourcing insights and innovation from an interdisciplinary biomedical research community. Annals of Medicine 2015;47(7):570
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  51. Pah AR, Rasmussen-Torvik LJ, Goel S, Greenland P, Kho AN. Big Data: What Is It and What Does It Mean for Cardiovascular Research and Prevention Policy. Current Cardiovascular Risk Reports 2015;9(1)
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  52. Kim AE, Lieberman AJ, Dench D. Crowdsourcing data collection of the retail tobacco environment: case study comparing data from crowdsourced workers to trained data collectors. Tobacco Control 2015;24(e1):e6
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  53. Rubenstein EL. Rituals of introduction and revolving roles: Socialization in an online breast cancer community. Library & Information Science Research 2015;37(4):353
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  54. Katic B, Heywood J, Turek F, Chiauzzi E, Vaughan TE, Simacek K, Wicks P, Jain S, Winrow C, Renger JJ. New approach for analyzing self-reporting of insomnia symptoms reveals a high rate of comorbid insomnia across a wide spectrum of chronic diseases. Sleep Medicine 2015;16(11):1332
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  55. Ainsworth J, Buchan I. Combining Health Data Uses to Ignite Health System Learning. Methods of Information in Medicine 2015;54(06):479
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  56. Lupton D. Health promotion in the digital era: a critical commentary. Health Promotion International 2015;30(1):174
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  57. Callaghan CW. Crowdsourced ‘R&D’ and medical research: Table 1. British Medical Bulletin 2015;115(1):67
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  58. Bejarano HD, Kaplan H, Rassenti S. Dynamic optimization and conformity in health behavior and life enjoyment over the life cycle. Frontiers in Behavioral Neuroscience 2015;9
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  59. Naslund JA, Aschbrenner KA, Marsch LA, McHugo GJ, Bartels SJ. Crowdsourcing for conducting randomized trials of internet delivered interventions in people with serious mental illness: A systematic review. Contemporary Clinical Trials 2015;44:77
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  60. Bastian T, Maire A, Dugas J, Ataya A, Villars C, Gris F, Perrin E, Caritu Y, Doron M, Blanc S, Jallon P, Simon C. Automatic identification of physical activity types and sedentary behaviors from triaxial accelerometer: laboratory-based calibrations are not enough. Journal of Applied Physiology 2015;118(6):716
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  61. 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
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  62. 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
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  63. Wicks P, Stamford J, Grootenhuis MA, Haverman L, Ahmed S. Innovations in e-health. Quality of Life Research 2014;23(1):195
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  64. Eggleston EM, Weitzman ER. Innovative Uses of Electronic Health Records and Social Media for Public Health Surveillance. Current Diabetes Reports 2014;14(3)
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  65. Turner-McGrievy GM, Helander EE, Kaipainen K, Perez-Macias JM, Korhonen I. The use of crowdsourcing for dietary self-monitoring: crowdsourced ratings of food pictures are comparable to ratings by trained observers. Journal of the American Medical Informatics Association 2014;
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  66. Bevelander KE, Kaipainen K, Swain R, Dohle S, Bongard JC, Hines PDH, Wansink B, Barengo NC. Crowdsourcing Novel Childhood Predictors of Adult Obesity. PLoS ONE 2014;9(2):e87756
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  67. Dadich A. Citizen social science: a methodology to facilitate and evaluate workplace learning in continuing interprofessional education. Journal of Interprofessional Care 2014;28(3):194
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  68. Lupton D. The commodification of patient opinion: the digital patient experience economy in the age of big data. Sociology of Health & Illness 2014;36(6):856
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  69. Lavallee DC, Wicks P, Alfonso Cristancho R, Mullins CD. Stakeholder engagement in patient-centered outcomes research: high-touch or high-tech?. Expert Review of Pharmacoeconomics & Outcomes Research 2014;14(3):335
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  70. Kelty C, Panofsky A. Disentangling Public Participation In Science and Biomedicine. Genome Medicine 2014;6(1):8
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  71. 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
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  72. Giustini D. Social Media and Clinical Trials Recruitment: Potential Benefits and Challenges. Journal of the Canadian Health Libraries Association / Journal de l'Association des bibliothèques de la santé du Canada 2014;33(3):140
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  73. Bauer DC, Gaff C, Dinger ME, Caramins M, Buske FA, Fenech M, Hansen D, Cobiac L. Genomics and personalised whole-of-life healthcare. Trends in Molecular Medicine 2014;20(9):479
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  74. Wiley MT, Jin C, Hristidis V, Esterling KM. Pharmaceutical drugs chatter on Online Social Networks. Journal of Biomedical Informatics 2014;49:245
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  75. Dwyer AA, Quinton R, Morin D, Pitteloud N. Identifying the unmet health needs of patients with congenital hypogonadotropic hypogonadism using a web-based needs assessment: implications for online interventions and peer-to-peer support. Orphanet Journal of Rare Diseases 2014;9(1):83
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  76. Purdam K. Citizen social science and citizen data? Methodological and ethical challenges for social research. Current Sociology 2014;62(3):374
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  77. Feupe SF, Frias PF, Mednick SC, McDevitt EA, Heintzman ND. Nocturnal Continuous Glucose and Sleep Stage Data in Adults with Type 1 Diabetes in Real-World Conditions. Journal of Diabetes Science and Technology 2013;7(5):1337
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  3. Rusko R, Härkönen K, Petäjäniemi S. Digital Entrepreneurship and Global Innovation. 2017. chapter 7:124
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  5. Chiauzzi E, Eichler G, Wicks P. Oncology Informatics. 2016. :307
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  7. Davis HS, Watson AB, Bakerson M. Elicited Metaphor Analysis in Educational Discourse. 2015. :139
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  8. Pontinen M, Wang J, Bouton C. Re-inventing Drug Development. 2014. :105
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