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 29.11.12 in Vol 14, No 6 (2012): Nov-Dec

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

Works citing "Crowdsourcing Malaria Parasite Quantification: An Online Game for Analyzing Images of Infected Thick Blood Smears"

Miguel Angel Luengo-Oroz, Asier Arranz, John Frean

J Med Internet Res 2012 (Nov 29); 14(6):e167 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2338):

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

  1. . Crowdsourcing the Corpasome. Source Code for Biology and Medicine 2013;8(1)
    CrossRef
  2. Ponti M, Hillman T, Kullenberg C, Kasperowski D. Getting it Right or Being Top Rank: Games in Citizen Science. Citizen Science: Theory and Practice 2018;3(1):1
    CrossRef
  3. Kahn MJ, Maurer R, Wartman SA, Sachs BP. A Case for Change. Academic Medicine 2014;89(9):1216
    CrossRef
  4. Good BM, Loguercio S, Griffith OL, Nanis M, Wu C, Su AI. The Cure: Design and Evaluation of a Crowdsourcing Game for Gene Selection for Breast Cancer Survival Prediction. JMIR Serious Games 2014;2(2):e7
    CrossRef
  5. Hill S, Merchant R, Ungar L. Lessons Learned About Public Health from Online Crowd Surveillance. Big Data 2013;1(3):160
    CrossRef
  6. 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
  7. 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
  8. Dasgupta N, Freifeld C, Brownstein JS, Menone CM, Surratt HL, Poppish L, Green JL, Lavonas EJ, Dart RC. Crowdsourcing Black Market Prices For Prescription Opioids. Journal of Medical Internet Research 2013;15(8):e178
    CrossRef
  9. 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
  10. 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
  11. Veeman M, Reeves W. Quantitative and in toto imaging in ascidians: Working toward an image‐centric systems biology of chordate morphogenesis. genesis 2015;53(1):143
    CrossRef
  12. Liu F, Qin Y, Meng S, Zhang W, Tang W, Han L, Liu C, Zhang Y, Huang S, Zheng H, Yang B, Tucker JD. HIV self-testing among men who have sex with men in China: a qualitative implementation research study. Journal of Virus Eradication 2019;5(4):220
    CrossRef
  13. Wang C, Han L, Stein G, Day S, Bien-Gund C, Mathews A, Ong JJ, Zhao P, Wei S, Walker J, Chou R, Lee A, Chen A, Bayus B, Tucker JD. Crowdsourcing in health and medical research: a systematic review. Infectious Diseases of Poverty 2020;9(1)
    CrossRef
  14. Chu K, Smith ZJ, Wachsmann-Hogiu S. Development of inexpensive blood imaging systems: where are we now?. Expert Review of Medical Devices 2015;12(5):613
    CrossRef
  15. Créquit P, Mansouri G, Benchoufi M, Vivot A, Ravaud P. Mapping of Crowdsourcing in Health: Systematic Review. Journal of Medical Internet Research 2018;20(5):e187
    CrossRef
  16. DAS D, MUKHERJEE R, CHAKRABORTY C. Computational microscopic imaging for malaria parasite detection: a systematic review. Journal of Microscopy 2015;260(1):1
    CrossRef
  17. . Applications of crowdsourcing in health: an overview. Journal of Global Health 2018;8(1)
    CrossRef
  18. Rhoads DD, Mathison BA, Bishop HS, da Silva AJ, Pantanowitz L. Review of Telemicrobiology. Archives of Pathology & Laboratory Medicine 2016;140(4):362
    CrossRef
  19. Della Mea V, Maddalena E, Mizzaro S, Machin P, Beltrami CA. Preliminary results from a crowdsourcing experiment in immunohistochemistry. Diagnostic Pathology 2014;9(S1)
    CrossRef
  20. Bourquard A, Pablo-Trinidad A, Butterworth I, Sánchez-Ferro , Cerrato C, Humala K, Fabra Urdiola M, Del Rio C, Valles B, Tucker-Schwartz JM, Lee ES, Vakoc BJ, Padera TP, Ledesma-Carbayo MJ, Chen Y, Hochberg EP, Gray ML, Castro-González C. Non-invasive detection of severe neutropenia in chemotherapy patients by optical imaging of nailfold microcirculation. Scientific Reports 2018;8(1)
    CrossRef
  21. 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
  22. Mitsakakis K, Hin S, Müller P, Wipf N, Thomsen E, Coleman M, Zengerle R, Vontas J, Mavridis K. Converging Human and Malaria Vector Diagnostics with Data Management towards an Integrated Holistic One Health Approach. International Journal of Environmental Research and Public Health 2018;15(2):259
    CrossRef
  23. Irshad H, Oh E, Schmolze D, Quintana LM, Collins L, Tamimi RM, Beck AH. Crowdsourcing scoring of immunohistochemistry images: Evaluating Performance of the Crowd and an Automated Computational Method. Scientific Reports 2017;7(1)
    CrossRef
  24. Jorda J, Sawaya MR, Yeates TO. CrowdPhase: crowdsourcing the phase problem. Acta Crystallographica Section D Biological Crystallography 2014;70(6):1538
    CrossRef
  25. Good BM, Su AI. Crowdsourcing for bioinformatics. Bioinformatics 2013;29(16):1925
    CrossRef
  26. Ilakkuvan V, Tacelosky M, Ivey KC, Pearson JL, Cantrell J, Vallone DM, Abrams DB, Kirchner TR. Cameras for Public Health Surveillance: A Methods Protocol for Crowdsourced Annotation of Point-of-Sale Photographs. JMIR Research Protocols 2014;3(2):e22
    CrossRef
  27. Sescleifer AM, Francoisse CA, Lin AY. Systematic Review: Online Crowdsourcing to Assess Perceptual Speech Outcomes. Journal of Surgical Research 2018;232:351
    CrossRef
  28. Wang X, Mudie LI, Baskaran M, Cheng C, Alward WL, Friedman DS, Brady CJ. Crowdsourcing to Evaluate Fundus Photographs for the Presence of Glaucoma. Journal of Glaucoma 2017;26(6):505
    CrossRef
  29. 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
  30. Wang X, Mudie L, Brady CJ. Crowdsourcing. Current Opinion in Ophthalmology 2016;27(3):256
    CrossRef
  31. Michelucci P, Dickinson JL. The power of crowds. Science 2016;351(6268):32
    CrossRef
  32. Polin MR, Siddiqui NY, Comstock BA, Hesham H, Brown C, Lendvay TS, Martino MA. Crowdsourcing: a valid alternative to expert evaluation of robotic surgery skills. American Journal of Obstetrics and Gynecology 2016;215(5):644.e1
    CrossRef
  33. Vera J, Santos G. Can Gamification Contribute to Computer Modeling-Driven Biomedical Research?. Frontiers in Physiology 2018;9
    CrossRef
  34. Das R, Keep B, Washington P, Riedel-Kruse IH. Scientific Discovery Games for Biomedical Research. Annual Review of Biomedical Data Science 2019;2(1):253
    CrossRef
  35. 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
  36. . The Potential of Crowdsourcing to Improve Patient-Centered Care. The Patient - Patient-Centered Outcomes Research 2014;7(2):123
    CrossRef
  37. Meyer AN, Longhurst CA, Singh H. Crowdsourcing Diagnosis for Patients With Undiagnosed Illnesses: An Evaluation of CrowdMed. Journal of Medical Internet Research 2016;18(1):e12
    CrossRef
  38. G. Rodrigo E, Aledo JA, Gámez JA. Machine learning from crowds: A systematic review of its applications. WIREs Data Mining and Knowledge Discovery 2019;9(2)
    CrossRef
  39. Poostchi M, Silamut K, Maude RJ, Jaeger S, Thoma G. Image analysis and machine learning for detecting malaria. Translational Research 2018;194:36
    CrossRef
  40. Wilman HR, Ebejer J, Shi J, Deane CM, Knapp B. Crowdsourcing Yields a New Standard for Kinks in Protein Helices. Journal of Chemical Information and Modeling 2014;54(9):2585
    CrossRef
  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
    CrossRef
  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
    CrossRef
  43. Brady CJ, Mudie LI, Wang X, Guallar E, Friedman DS. Improving Consensus Scoring of Crowdsourced Data Using the Rasch Model: Development and Refinement of a Diagnostic Instrument. Journal of Medical Internet Research 2017;19(6):e222
    CrossRef
  44. 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
  45. Zhai H, Lingren T, Deleger L, Li Q, Kaiser M, Stoutenborough L, Solti I. Web 2.0-Based Crowdsourcing for High-Quality Gold Standard Development in Clinical Natural Language Processing. Journal of Medical Internet Research 2013;15(4):e73
    CrossRef
  46. . Modeling Biological Systems Using Crowdsourcing. Foundations of Computing and Decision Sciences 2018;43(3):219
    CrossRef
  47. Han T, Sun H, Song Y, Fang Y, Liu X. Find truth in the hands of the few: acquiring specific knowledge with crowdsourcing. Frontiers of Computer Science 2021;15(4)
    CrossRef
  48. McCullough M, Auslander A, Nagengast ES, Yao CA, Swanson JW, Magee WP. The Use of Crowdsourcing Technology to Evaluate Preoperative Severity in Patients With Unilateral Cleft Lip in a Multiethnic Population. Journal of Craniofacial Surgery 2021;32(2):482
    CrossRef
  49. Tsueng G, Nanis M, Fouquier JT, Mayers M, Good BM, Su AI, Wren J. Applying citizen science to gene, drug and disease relationship extraction from biomedical abstracts. Bioinformatics 2020;36(4):1226
    CrossRef
  50. Delgado LG, Postigo M, Cuadrado D, Gil-Casanova S, Martínez M, Linares M, Merino P, Gimo M, Blanco S, Bassat Q, Santos A, García-Basteiro AL, Ledesma-Carbayo MJ, Luengo-Oroz M, Quinn F. Remote analysis of sputum smears for mycobacterium tuberculosis quantification using digital crowdsourcing. PLOS ONE 2022;17(5):e0268494
    CrossRef
  51. Brown MI, Grossenbacher MA, Martin‐Raugh MP, Kochert J, Prewett MS. Can you crowdsource expertise? Comparing expert and crowd‐based scoring keys for three situational judgment tests. International Journal of Selection and Assessment 2021;29(3-4):467
    CrossRef
  52. Maturana CR, de Oliveira AD, Nadal S, Bilalli B, Serrat FZ, Soley ME, Igual ES, Bosch M, Lluch AV, Abelló A, López-Codina D, Suñé TP, Clols ES, Joseph-Munné J. Advances and challenges in automated malaria diagnosis using digital microscopy imaging with artificial intelligence tools: A review. Frontiers in Microbiology 2022;13
    CrossRef
  53. Alialy R, Tavakkol S, Tavakkol E, Ghorbani-Aghbologhi A, Ghaffarieh A, Kim SH, Shahabi C. A Review on the Applications of Crowdsourcing in Human Pathology. Journal of Pathology Informatics 2018;9(1):2
    CrossRef
  54. Elor A, Whittaker S, Kurniawan S, Michael S. BioLumin: An Immersive Mixed Reality Experience for Interactive Microscopic Visualization and Biomedical Research Annotation. ACM Transactions on Computing for Healthcare 2022;3(4):1
    CrossRef
  55. Sadeghianasl S, Hofstede AHMT, Wynn MT, Turkay S, Myers T. Process Activity Ontology Learning From Event Logs Through Gamification. IEEE Access 2021;9:165865
    CrossRef
  56. 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
  57. . Neglected Tropical Diseases: A Case for Promoting Innovation and Transdisciplinary Perspectives in Liberal Arts Education. Journal of College Science Teaching 2020;49(5):23
    CrossRef
  58. Rubio JMB, Moyà-Alcover G, Jaume-i-Capó A, Petrović N. Crowdsourced human-based computational approach for tagging peripheral blood smear sample images from Sickle Cell Disease patients using non-expert users. Scientific Reports 2024;14(1)
    CrossRef
  59. . A Perspective on Crowdsourcing and Human-in-the-Loop Workflows in Precision Health. Journal of Medical Internet Research 2024;26:e51138
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.2338):

  1. Huang M, Hamarneh G. Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis. 2017. Chapter 13:116
    CrossRef
  2. Laato S, Hyrynsalmi SM, Paloheimo M. Software Business. 2019. Chapter 31:387
    CrossRef
  3. Albarqouni S, Matl S, Baust M, Navab N, Demirci S. Deep Learning and Data Labeling for Medical Applications. 2016. Chapter 28:269
    CrossRef
  4. Cacciola TP, Martino M. Comprehensive Healthcare Simulation: Surgery and Surgical Subspecialties. 2019. Chapter 30:367
    CrossRef
  5. O’Neil AQ, Murchison JT, van Beek EJR, Goatman KA. Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis. 2017. Chapter 11:96
    CrossRef
  6. Santos CP, van de Haterd J, Hutchinson K, Khan V, Markopoulos P. End-User Development. 2017. Chapter 3:34
    CrossRef
  7. Pereira Santos C, Khan V, Markopoulos P. Social Informatics. 2015. Chapter 54:448
    CrossRef
  8. Kundu TK, Anguraj DK, Shetty N. Trends in Sustainable Computing and Machine Intelligence. 2024. Chapter 2:13
    CrossRef