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 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. Jindal G. An online card‐sorting study to inform the initial low‐fidelity design of a crowdsourced health information system for individuals who have chronic health conditions seeking local health‐related resources. Human Behavior and Emerging Technologies 2020;2(2):128
    CrossRef
  2. Patou F, Ciccone N, Thorpe J, Maier A. Designing P4 healthcare interventions for managing cognitive decline and dementia: where are we at?. Journal of Engineering Design 2020;31(7):379
    CrossRef
  3. Tauginienė L, Butkevičienė E, Vohland K, Heinisch B, Daskolia M, Suškevičs M, Portela M, Balázs B, Prūse B. Citizen science in the social sciences and humanities: the power of interdisciplinarity. Palgrave Communications 2020;6(1)
    CrossRef
  4. Anderson DM, Cronk R, Best L, Radin M, Schram H, Tracy JW, Bartram J. Budgeting for Environmental Health Services in Healthcare Facilities: A Ten-Step Model for Planning and Costing. International Journal of Environmental Research and Public Health 2020;17(6):2075
    CrossRef
  5. 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 2020;76(4):2266
    CrossRef
  6. Phuttharak J, Loke S. Exploring incentive mechanisms for mobile crowdsourcing: sense of safety in a Thai city. International Journal of Urban Sciences 2020;24(1):13
    CrossRef
  7. 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
  8. Mammadovа M, Jabrayilova Z, Isayeva A. Conceptual Approach to the Use of Information Acquired in Social Media for Medial Decisions. Online Journal of Communication and Media Technologies 2020;10(2)
    CrossRef
  9. Hazara AM, Durrans K, Bhandari S. The role of patient portals in enhancing self-care in patients with renal conditions. Clinical Kidney Journal 2020;13(1):1
    CrossRef
  10. Hamakawa N, Nakano R, Kogetsu A, Coathup V, Kaye J, Yamamoto BA, Kato K. Landscape of Participant-centric Initiatives (PCIs) for Medical Research in the US, the UK, and Japan: A Scoping Review (Preprint). Journal of Medical Internet Research 2019;
    CrossRef
  11. Bhardwaj P, Kumar J, Yadav RK. Patients Driving the Clinical Trial Designs – Democracy in Clinical Research. Reviews on Recent Clinical Trials 2019;14(4):237
    CrossRef
  12. Frewin S, Church S. Midwives' evaluation of their role in crowdsourcing activities to improve the maternity experience: part 1. British Journal of Midwifery 2019;27(6):368
    CrossRef
  13. Cai CW, Gippel J, Zhu Y, Singh AK. The power of crowds: Grand challenges in the Asia-Pacific region. Australian Journal of Management 2019;44(4):551
    CrossRef
  14. Linares M, Postigo M, Cuadrado D, Ortiz-Ruiz A, Gil-Casanova S, Vladimirov A, García-Villena J, Nuñez-Escobedo JM, Martínez-López J, Rubio JM, Ledesma-Carbayo MJ, Santos A, Bassat Q, Luengo-Oroz M. Collaborative intelligence and gamification for on-line malaria species differentiation. Malaria Journal 2019;18(1)
    CrossRef
  15. 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 2019;25(4):1618
    CrossRef
  16. 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
  17. Wu D, Ong JJ, Tang W, Ritchwood TD, Walker JS, Iwelunmor J, Tucker JD. Crowdsourcing Methods to Enhance HIV and Sexual Health Services. JAIDS Journal of Acquired Immune Deficiency Syndromes 2019;82:S271
    CrossRef
  18. Du F, Plaisant C, Spring N, Shneiderman B. Visual Interfaces for Recommendation Systems. ACM Transactions on Intelligent Systems and Technology 2019;10(1):1
    CrossRef
  19. Fernández D, Harel D, Ipeirotis P, McAllister T. Statistical considerations for crowdsourced perceptual ratings of human speech productions. Journal of Applied Statistics 2019;46(8):1364
    CrossRef
  20. Simoes J, Neff P, Schoisswohl S, Bulla J, Schecklmann M, Harrison S, Vesala M, Langguth B, Schlee W. Toward Personalized Tinnitus Treatment: An Exploratory Study Based on Internet Crowdsensing. Frontiers in Public Health 2019;7
    CrossRef
  21. Tempini N, Del Savio L. Digital orphans: Data closure and openness in patient-powered networks. BioSocieties 2019;14(2):205
    CrossRef
  22. Wong AY, Lauridsen HH, Samartzis D, Macedo L, Ferreira PH, Ferreira ML. Global Consensus From Clinicians Regarding Low Back Pain Outcome Indicators for Older Adults: Pairwise Wiki Survey Using Crowdsourcing. JMIR Rehabilitation and Assistive Technologies 2019;6(1):e11127
    CrossRef
  23. Peng W, Occa A, McFarlane SJ, Morgan SE. A Content Analysis of the Discussions about Clinical Trials on A Cancer-dedicated Online Forum. Journal of Health Communication 2019;24(12):912
    CrossRef
  24. Rounds T, Bongard J, Hines P, Harvey J. A crowdsourcing approach to understand weight and weight loss in men. Preventive Medicine Reports 2019;13:224
    CrossRef
  25. Piras EM, Cabitza F, Lewkowicz M, Bannon L. Personal Health Records and Patient-Oriented Infrastructures: Building Technology, Shaping (New) Patients, and Healthcare Practitioners. Computer Supported Cooperative Work (CSCW) 2019;28(6):1001
    CrossRef
  26. Lunn MR, Capriotti MR, Flentje A, Bibbins-Domingo K, Pletcher MJ, Triano AJ, Sooksaman C, Frazier J, Obedin-Maliver J, Withers MH. Using mobile technology to engage sexual and gender minorities in clinical research. PLOS ONE 2019;14(5):e0216282
    CrossRef
  27. Leon-Sanz P. Key Points for an Ethical Evaluation of Healthcare Big Data. Processes 2019;7(8):493
    CrossRef
  28. Nelson SC, Bowen DJ, Fullerton SM. Third-Party Genetic Interpretation Tools: A Mixed-Methods Study of Consumer Motivation and Behavior. The American Journal of Human Genetics 2019;105(1):122
    CrossRef
  29. Lau STH, Choi KWY, Chen J, Mak WP, Yeung HKCA, Tucker J, Wong WC. Study protocol for a peer-led web-based intervention to promote safe usage of dating applications among young adults: a cluster randomized controlled trial. Trials 2019;20(1)
    CrossRef
  30. Merolli M, Busuttil M, Wåhlin C, Green A. Global communication practices of physiotherapists on Twitter. European Journal of Physiotherapy 2019;21(1):20
    CrossRef
  31. Du F, Plaisant C, Spring N, Crowley K, Shneiderman B. EventAction. ACM Transactions on Interactive Intelligent Systems 2019;9(4):1
    CrossRef
  32. Kempner J, Bailey J. Collective self-experimentation in patient-led research: How online health communities foster innovation. Social Science & Medicine 2019;238:112366
    CrossRef
  33. 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
    CrossRef
  34. Crangle CE, Bradley C, Carlin PF, Esterhay RJ, Harper R, Kearney PM, McCarthy VJC, McTear MF, Savage E, Tuttle MS, Wallace JG, Atkin SL. Exploring patient information needs in type 2 diabetes: A cross sectional study of questions. PLOS ONE 2018;13(11):e0203429
    CrossRef
  35. Moreira A, Alonso-Calvo R, Muñoz A, Crespo J. Measuring Relevant Information in Health Social Network Conversations and Clinical Diagnosis Cases. International Journal of Environmental Research and Public Health 2018;15(12):2787
    CrossRef
  36. Fadda M, Jobin A, Blasimme A, Greshake Tzovaras B, Price Ball M, Vayena E. User Perspectives of a Web-Based Data-Sharing Platform (Open Humans) on Ethical Oversight in Participant-Led Research: Protocol for a Quantitative Study. JMIR Research Protocols 2018;7(11):e10939
    CrossRef
  37. Ortiz-Ruiz A, Postigo M, Gil-Casanova S, Cuadrado D, Bautista JM, Rubio JM, Luengo-Oroz M, Linares M. Plasmodium species differentiation by non-expert on-line volunteers for remote malaria field diagnosis. Malaria Journal 2018;17(1)
    CrossRef
  38. Turrini M. Online Genomes: Problematizing the disruptiveness of direct-to-consumer genetic tests. Sociology Compass 2018;12(11):e12633
    CrossRef
  39. 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
    CrossRef
  40. Wazny K. Applications of crowdsourcing in health: an overview. Journal of Global Health 2018;8(1)
    CrossRef
  41. 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)
    CrossRef
  42. 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
    CrossRef
  43. Wexler A, Hamilton RH. Crowdsourced tDCS Research: Feasible or Fanciful?. AJOB Neuroscience 2017;8(1):50
    CrossRef
  44. 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)
    CrossRef
  45. 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
    CrossRef
  46. Ajana B. Digital health and the biopolitics of the Quantified Self. DIGITAL HEALTH 2017;3:205520761668950
    CrossRef
  47. Kreitmair KV, Cho MK, Magnus DC. Consent and engagement, security, and authentic living using wearable and mobile health technology. Nature Biotechnology 2017;35(7):617
    CrossRef
  48. 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
    CrossRef
  49. 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
    CrossRef
  50. 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
    CrossRef
  51. 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
    CrossRef
  52. 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
    CrossRef
  53. Tucker JD. Crowdsourcing to promote HIV testing among MSM in China: study protocol for a stepped wedge randomized controlled trial. Trials 2017;18(1)
    CrossRef
  54. Callaghan CW. The Probabilistic Innovation Field of Scientific Enquiry. International Journal of Sociotechnology and Knowledge Development 2017;9(2):56
    CrossRef
  55. 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
    CrossRef
  56. 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
    CrossRef
  57. 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
    CrossRef
  58. 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
    CrossRef
  59. Lee YJ, Arida JA, Donovan HS. The application of crowdsourcing approaches to cancer research: a systematic review. Cancer Medicine 2017;6(11):2595
    CrossRef
  60. 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
    CrossRef
  61. 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)
    CrossRef
  62. Wazny K. Crowdsourcing’s ten years in: A review. Journal of Global Health 2017;7(2)
    CrossRef
  63. 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
    CrossRef
  64. 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
    CrossRef
  65. Szkuta K, Osimo D. Rebooting science? Implications of science 2.0 main trends for scientific method and research institutions. Foresight 2016;18(3):204
    CrossRef
  66. De Grandis G, Halgunset V. Conceptual and terminological confusion around personalised medicine: a coping strategy. BMC Medical Ethics 2016;17(1)
    CrossRef
  67. Afshinnekoo E, Ahsanuddin S, Mason CE. Globalizing and crowdsourcing biomedical research. British Medical Bulletin 2016;120(1):27
    CrossRef
  68. Frossard VC, Dias MCM. O impacto da internet na interação entre pacientes: novos cenários em saúde. Interface - Comunicação, Saúde, Educação 2016;20(57):349
    CrossRef
  69. 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
    CrossRef
  70. Hoxha J, Weng C. Leveraging dialog systems research to assist biomedical researchers’ interrogation of Big Clinical Data. Journal of Biomedical Informatics 2016;61:176
    CrossRef
  71. 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
    CrossRef
  72. 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
    CrossRef
  73. Winickoff DE, Jamal L, Anderson NR. New modes of engagement for big data research. Journal of Responsible Innovation 2016;3(2):169
    CrossRef
  74. 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
    CrossRef
  75. Shelgikar AV, Anderson PF, Stephens MR. Sleep Tracking, Wearable Technology, and Opportunities for Research and Clinical Care. Chest 2016;150(3):732
    CrossRef
  76. Rubenstein EL. Rituals of introduction and revolving roles: Socialization in an online breast cancer community. Library & Information Science Research 2015;37(4):353
    CrossRef
  77. 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
    CrossRef
  78. 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
    CrossRef
  79. Callaghan CW. Crowdsourced ‘R&D’ and medical research: Table 1. British Medical Bulletin 2015;115(1):67
    CrossRef
  80. Ainsworth J, Buchan I. Combining Health Data Uses to Ignite Health System Learning. Methods of Information in Medicine 2015;54(06):479
    CrossRef
  81. 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
    CrossRef
  82. Lupton D. Health promotion in the digital era: a critical commentary. Health Promotion International 2015;30(1):174
    CrossRef
  83. 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
    CrossRef
  84. 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
    CrossRef
  85. 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)
    CrossRef
  86. 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
    CrossRef
  87. 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
    CrossRef
  88. 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
  89. Weigmann K. Health research 2.0. EMBO reports 2014;15(3):223
    CrossRef
  90. 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
    CrossRef
  91. 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
  92. Kelty C, Panofsky A. Disentangling Public Participation In Science and Biomedicine. Genome Medicine 2014;6(1):8
    CrossRef
  93. 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
  94. 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
    CrossRef
  95. 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
    CrossRef
  96. Eggleston EM, Weitzman ER. Innovative Uses of Electronic Health Records and Social Media for Public Health Surveillance. Current Diabetes Reports 2014;14(3)
    CrossRef
  97. Purdam K. Citizen social science and citizen data? Methodological and ethical challenges for social research. Current Sociology 2014;62(3):374
    CrossRef
  98. 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
    CrossRef
  99. Wiley MT, Jin C, Hristidis V, Esterling KM. Pharmaceutical drugs chatter on Online Social Networks. Journal of Biomedical Informatics 2014;49:245
    CrossRef
  100. Wicks P, Stamford J, Grootenhuis MA, Haverman L, Ahmed S. Innovations in e-health. Quality of Life Research 2014;23(1):195
    CrossRef
  101. 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
    CrossRef
  102. 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
    CrossRef
  103. 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;
    CrossRef
  104. Good BM, Su AI. Crowdsourcing for bioinformatics. Bioinformatics 2013;29(16):1925
    CrossRef
  105. Oprescu F, Campo S, Lowe J, Andsager J, Morcuende JA. Online Information Exchanges for Parents of Children With a Rare Health Condition: Key Findings From an Online Support Community. Journal of Medical Internet Research 2013;15(1):e16
    CrossRef
  106. Hesse BW, Cole GE, Powe BD. Partnering Against Cancer Today: A Blueprint for Coordinating Efforts Through Communication Science. JNCI Monographs 2013;2013(47):233
    CrossRef
  107. 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
  108. Swan M. The Quantified Self: Fundamental Disruption in Big Data Science and Biological Discovery. Big Data 2013;1(2):85
    CrossRef
  109. Barrett MA, Humblet O, Hiatt RA, Adler NE. Big Data and Disease Prevention: From Quantified Self to Quantified Communities. Big Data 2013;1(3):168
    CrossRef
  110. Coley HL, Sadasivam RS, Williams JH, Volkman JE, Schoenberger Y, Kohler CL, Sobko H, Ray MN, Allison JJ, Ford DE, Gilbert GH, Houston TK. Crowdsourced Peer- Versus Expert-Written Smoking-Cessation Messages. American Journal of Preventive Medicine 2013;45(5):543
    CrossRef
  111. O'Connor D. The Apomediated World: Regulating Research When Social Media Has Changed Research. The Journal of Law, Medicine & Ethics 2013;41(2):470
    CrossRef
  112. Katsanis SH, Katsanis N. Molecular genetic testing and the future of clinical genomics. Nature Reviews Genetics 2013;14(6):415
    CrossRef
  113. 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
  114. Yea S, Yang C, Kim C. Design Korean Medicine Health Information Model with Health 2.0 Framework. The Journal of the Korea Contents Association 2013;13(11):807
    CrossRef
  115. 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
    CrossRef
  116. Manson H, Sullivan T, Ha P, Navarro C, Martín-Moreno JM. Goals are Not Enough: Building Public Sector Capacity for Chronic Disease Prevention. Public Health Reviews 2013;35(1)
    CrossRef
  117. Vayena E, Tasioulas J. Adapting Standards: Ethical Oversight of Participant-Led Health Research. PLoS Medicine 2013;10(3):e1001402
    CrossRef
  118. Swan M. Health 2050: The Realization of Personalized Medicine through Crowdsourcing, the Quantified Self, and the Participatory Biocitizen. Journal of Personalized Medicine 2012;2(3):93
    CrossRef
  119. Wicks P. E-mental health: A medium reaches maturity. Journal of Mental Health 2012;21(4):332
    CrossRef
  120. Luengo-Oroz MA, Arranz A, Frean J. Crowdsourcing Malaria Parasite Quantification: An Online Game for Analyzing Images of Infected Thick Blood Smears. Journal of Medical Internet Research 2012;14(6):e167
    CrossRef
  121. Hamer S. Guest editorial: Science, technology, innovation and research: the ultimate conundrum?. Journal of Research in Nursing 2012;17(6):516
    CrossRef
  122. Penckofer SM. Lost in translation: will the ‘personal’ become ‘impersonal’ when conducting research in the age of technology?. Clinical Investigation 2012;2(6):555
    CrossRef
  123. Torr-Brown S. Crowdsourced science and genetic insights for personalizing medicine: beginning to deliver the goods. Personalized Medicine 2012;9(6):569
    CrossRef
  124. Kennedy CM, Powell J, Payne TH, Ainsworth J, Boyd A, Buchan I. Active Assistance Technology for Health-Related Behavior Change: An Interdisciplinary Review. Journal of Medical Internet Research 2012;14(3):e80
    CrossRef

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

:
  1. Wu AC, Tse SM, Balli F. Precision in Pulmonary, Critical Care, and Sleep Medicine. 2020. Chapter 19:291
    CrossRef
  2. Harrington EG. Academic Libraries and Public Engagement with Science and Technology. 2019. :115
    CrossRef
  3. Omidvar-Tehrani B. Heterogeneous Data Management, Polystores, and Analytics for Healthcare. 2019. Chapter 9:107
    CrossRef
  4. Antolín-Amérigo D, Alvarez-Perea A, Popescu F. Implementing Precision Medicine in Best Practices of Chronic Airway Diseases. 2019. :135
    CrossRef
  5. Callaghan CW. Crowdsourcing. 2019. chapter 83:1660
    CrossRef
  6. Geofrey AM, Kipanyula MJ, Fue KG, Sanga CA. Veterinary Science. 2018. chapter 8:159
    CrossRef
  7. Rusko R, Härkönen K, Petäjäniemi S. Digital Entrepreneurship and Global Innovation. 2017. chapter 7:124
    CrossRef
  8. Katsanis S, Katsanis N. Genomic and Precision Medicine. 2017. :263
    CrossRef
  9. Chiauzzi E, Eichler G, Wicks P. Oncology Informatics. 2016. :307
    CrossRef
  10. Heyen NB. Lifelogging. 2016. Chapter 16:283
    CrossRef
  11. Hartzler A, Huh J. Consumer Health Informatics. 2016. Chapter 6:135
    CrossRef
  12. Davis HS, Watson AB, Bakerson M. Elicited Metaphor Analysis in Educational Discourse. 2015. :139
    CrossRef
  13. Pontinen M, Wang J, Bouton C. Re-inventing Drug Development. 2014. :105
    CrossRef
  14. Mensah E, Goderre JL. Public Health Informatics and Information Systems. 2014. Chapter 7:107
    CrossRef
  15. Wicks P, Little M. Handbook of Human Computation. 2013. Chapter 12:105
    CrossRef