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Citing this Article

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Published on 02.04.13 in Vol 15, No 4 (2013): April

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

Works citing "Web 2.0-Based Crowdsourcing for High-Quality Gold Standard Development in Clinical Natural Language Processing"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2426):

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

  1. de Amorim MN, Saleme EB, Assis Neto FRD, Santos CAS, Ghinea G. Crowdsourcing authoring of sensory effects on videos. Multimedia Tools and Applications 2019;
    CrossRef
  2. Lalor JP, Woolf B, Yu H. Improving Electronic Health Record Note Comprehension With NoteAid: Randomized Trial of Electronic Health Record Note Comprehension Interventions With Crowdsourced Workers. Journal of Medical Internet Research 2019;21(1):e10793
    CrossRef
  3. Bouadjenek MR, Zobel J, Verspoor K. Automated assessment of biological database assertions using the scientific literature. BMC Bioinformatics 2019;20(1)
    CrossRef
  4. Foster M, Pandey A, Kreimeyer K, Botsis T. Generation of an annotated reference standard for vaccine adverse event reports. Vaccine 2018;36(29):4325
    CrossRef
  5. Lossio-Ventura JA, Hogan W, Modave F, Guo Y, He Z, Yang X, Zhang H, Bian J. OC-2-KB: integrating crowdsourcing into an obesity and cancer knowledge base curation system. BMC Medical Informatics and Decision Making 2018;18(S2)
    CrossRef
  6. Lalor JP, Wu H, Chen L, Mazor KM, Yu H. ComprehENotes, an Instrument to Assess Patient Reading Comprehension of Electronic Health Record Notes: Development and Validation. Journal of Medical Internet Research 2018;20(4):e139
    CrossRef
  7. Wazny K. Applications of crowdsourcing in health: an overview. Journal of Global Health 2018;8(1)
    CrossRef
  8. Assis Neto FR, Santos CA. Understanding crowdsourcing projects: A systematic review of tendencies, workflow, and quality management. Information Processing & Management 2018;54(4):490
    CrossRef
  9. Şahin GG, Adalı E. Annotation of semantic roles for the Turkish Proposition Bank. Language Resources and Evaluation 2018;52(3):673
    CrossRef
  10. Zhang AX, Chen J, Chai W, Xu J, Hong L, CHI E. Evaluation and Refinement of Clustered Search Results with the Crowd. ACM Transactions on Interactive Intelligent Systems 2018;8(2):1
    CrossRef
  11. Cocos A, Qian T, Callison-Burch C, Masino AJ. Crowd control: Effectively utilizing unscreened crowd workers for biomedical data annotation. Journal of Biomedical Informatics 2017;69:86
    CrossRef
  12. Lee YJ, Arida JA, Donovan HS. The application of crowdsourcing approaches to cancer research: a systematic review. Cancer Medicine 2017;6(11):2595
    CrossRef
  13. 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
  14. Vélez PA, Rey Piedrahita A. Control de calidad en sistemas crowdsourcing: un mapeo sistemático. Scientia et technica 2017;22(1):73
    CrossRef
  15. Li TS, Bravo , Furlong LI, Good BM, Su AI. A crowdsourcing workflow for extracting chemical-induced disease relations from free text. Database 2016;2016:baw051
    CrossRef
  16. Klein A. Crowdsourcing voice editing and quality assessment of data collected from the largest mobile phone-based research study of Parkinson disease. Research Ideas and Outcomes 2016;2:e8848
    CrossRef
  17. Hochheiser H, Ning Y, Hernandez A, Horn JR, Jacobson R, Boyce RD. Using Nonexperts for Annotating Pharmacokinetic Drug-Drug Interaction Mentions in Product Labeling: A Feasibility Study. JMIR Research Protocols 2016;5(2):e40
    CrossRef
  18. Hirschman L, Fort K, Boué S, Kyrpides N, Islamaj Doğan R, Cohen KB. Crowdsourcing and curation: perspectives from biology and natural language processing. Database 2016;2016:baw115
    CrossRef
  19. Khare R, Good BM, Leaman R, Su AI, Lu Z. Crowdsourcing in biomedicine: challenges and opportunities. Briefings in Bioinformatics 2016;17(1):23
    CrossRef
  20. D’Orazio V, Kenwick M, Lane M, Palmer G, Reitter D, Ebrahimi M. Crowdsourcing the Measurement of Interstate Conflict. PLOS ONE 2016;11(6):e0156527
    CrossRef
  21. Khare R, Burger JD, Aberdeen JS, Tresner-Kirsch DW, Corrales TJ, Hirchman L, Lu Z. Scaling drug indication curation through crowdsourcing. Database 2015;2015
    CrossRef
  22. Kuang J, Argo L, Stoddard G, Bray BE, Zeng-Treitler Q. Assessing Pictograph Recognition: A Comparison of Crowdsourcing and Traditional Survey Approaches. Journal of Medical Internet Research 2015;17(12):e281
    CrossRef
  23. Thawrani V, Londhe ND, Singh R. Crowdsourcing of Medical Data. IETE Technical Review 2014;31(3):249
    CrossRef
  24. Burger JD, Doughty E, Khare R, Wei C, Mishra R, Aberdeen J, Tresner-Kirsch D, Wellner B, Kann MG, Lu Z, Hirschman L. Hybrid curation of gene–mutation relations combining automated extraction and crowdsourcing. Database 2014;2014
    CrossRef
  25. 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
  26. 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
  27. 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

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.2426)

:
  1. Şahin GG. Computational Linguistics and Intelligent Text Processing. 2018. Chapter 35:496
    CrossRef