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Journal of Medical Internet Research

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. 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
  2. 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
  3. 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
  4. 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
  5. Wexler A, Hamilton RH. Crowdsourced tDCS Research: Feasible or Fanciful?. AJOB Neuroscience 2017;8(1):50
    CrossRef
  6. 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
  7. 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;:216770261769651
    CrossRef
  8. 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
  9. 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
  10. 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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  11. Lee YJ, Arida JA, Donovan HS. The application of crowdsourcing approaches to cancer research: a systematic review. Cancer Medicine 2017;
    CrossRef
  12. 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
  13. 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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  14. 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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  15. 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
  16. 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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  17. 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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  18. Ajana B. Digital health and the biopolitics of the Quantified Self. DIGITAL HEALTH 2017;3:205520761668950
    CrossRef
  19. 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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  20. 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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  21. 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
  22. 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
  23. 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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  24. 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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  25. 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
  26. De Grandis G, Halgunset V. Conceptual and terminological confusion around personalised medicine: a coping strategy. BMC Medical Ethics 2016;17(1)
    CrossRef
  27. 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
  28. 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
  29. 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
  30. Shelgikar AV, Anderson PF, Stephens MR. Sleep Tracking, Wearable Technology, and Opportunities for Research and Clinical Care. Chest 2016;150(3):732
    CrossRef
  31. 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
  32. 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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  33. Callaghan CW. Crowdsourced ‘R&D’ and medical research: Table 1. British Medical Bulletin 2015;115(1):67
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  34. 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
  35. Ainsworth J, Buchan I. Combining Health Data Uses to Ignite Health System Learning. Methods of Information in Medicine 2015;54(6):479
    CrossRef
  36. 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
  37. 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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  38. 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
  39. Lupton D. Health promotion in the digital era: a critical commentary. Health Promotion International 2015;30(1):174
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  40. 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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  41. 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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  42. 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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  43. Kelty C, Panofsky A. Disentangling Public Participation In Science and Biomedicine. Genome Medicine 2014;6(1):8
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  44. 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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  45. 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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  46. 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
  47. 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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  48. 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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  49. 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
  50. 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
  51. 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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  52. 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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  53. 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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  54. 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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  55. 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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  56. 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
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  57. 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
  58. 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
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  59. Hesse BW, Cole GE, Powe BD. Partnering Against Cancer Today: A Blueprint for Coordinating Efforts Through Communication Science. JNCI Monographs 2013;2013(47):233
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  60. 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
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  61. 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
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  62. Swan M. The Quantified Self: Fundamental Disruption in Big Data Science and Biological Discovery. Big Data 2013;1(2):85
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  63. Katsanis SH, Katsanis N. Molecular genetic testing and the future of clinical genomics. Nature Reviews Genetics 2013;14(6):415
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  64. O'Connor D. The Apomediated World: Regulating Research When Social Media Has Changed Research. The Journal of Law, Medicine & Ethics 2013;41(2):470
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  65. 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
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  66. 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)
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  67. Vayena E, Tasioulas J. Adapting Standards: Ethical Oversight of Participant-Led Health Research. PLoS Medicine 2013;10(3):e1001402
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  68. 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
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  69. Good BM, Su AI. Crowdsourcing for bioinformatics. Bioinformatics 2013;29(16):1925
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  70. 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
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  71. Torr-Brown S. Crowdsourced science and genetic insights for personalizing medicine: beginning to deliver the goods. Personalized Medicine 2012;9(6):569
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  72. Swan M. Health 2050: The Realization of Personalized Medicine through Crowdsourcing, the Quantified Self, and the Participatory Biocitizen. Journal of Personalized Medicine 2012;2(4):93
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  73. Giustini D. Social Media and Clinical Trials Recruitment: Potential Benefits and Challenges. Journal of the Canadian Health Libraries Association 2012;33(03):140
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  74. Hamer S. Guest editorial: Science, technology, innovation and research: the ultimate conundrum?. Journal of Research in Nursing 2012;17(6):516
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  75. 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
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  76. Wicks P. E-mental health: A medium reaches maturity. Journal of Mental Health 2012;21(4):332
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  77. Penckofer SM. Lost in translation: will the ‘personal’ become ‘impersonal’ when conducting research in the age of technology?. Clinical Investigation 2012;2(6):555
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.1988)

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  1. Katsanis S, Katsanis N. Genomic and Precision Medicine. 2017. :263
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  2. Rusko R, Härkönen K, Petäjäniemi S. Digital Entrepreneurship and Global Innovation. 2017. chapter 7:124
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  3. Chiauzzi E, Eichler G, Wicks P. Oncology Informatics. 2016. :307
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  4. Heyen NB. Lifelogging. 2016. Chapter 16:283
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  5. Davis HS, Watson AB, Bakerson M. Elicited Metaphor Analysis in Educational Discourse. 2015. :139
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  6. Pontinen M, Wang J, Bouton C. Re-inventing Drug Development. 2014. :105
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