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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"

Haijun Zhai, Todd Lingren, Louise Deleger, Qi Li, Megan Kaiser, Laura Stoutenborough, Imre Solti

J Med Internet Res 2013 (Apr 02); 15(4):e73 

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. Şahin GG, Adalı E. Annotation of semantic roles for the Turkish Proposition Bank. Language Resources and Evaluation 2018;52(3):673
    CrossRef
  2. Abrams M, Milisavljević M, Šoškić A. Childhood abuse: Differential gender effects on mental health and sexuality. Sexologies 2019;28(4):e89
    CrossRef
  3. Thawrani V, Londhe ND, Singh R. Crowdsourcing of Medical Data. IETE Technical Review 2014;31(3):249
    CrossRef
  4. 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
  5. Wang S, Dang D. Incentive mechanism for the listing item task in crowdsourcing. Information Sciences 2020;512:80
    CrossRef
  6. 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
  7. 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
  8. Abrams M, Milisavljević M, Šoškić A. Maltraitance infantile : effets différentiels liés au sexe sur la santé mentale et la sexualité. Sexologies 2019;28(4):191
    CrossRef
  9. 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
  10. Lee YJ, Arida JA, Donovan HS. The application of crowdsourcing approaches to cancer research: a systematic review. Cancer Medicine 2017;6(11):2595
    CrossRef
  11. Khare R, Good BM, Leaman R, Su AI, Lu Z. Crowdsourcing in biomedicine: challenges and opportunities. Briefings in Bioinformatics 2016;17(1):23
    CrossRef
  12. 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
  13. Guo L, Mays K, Lai S, Jalal M, Ishwar P, Betke M. Accurate, Fast, But Not Always Cheap: Evaluating “Crowdcoding” as an Alternative Approach to Analyze Social Media Data. Journalism & Mass Communication Quarterly 2020;97(3):811
    CrossRef
  14. 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
  15. Bouadjenek MR, Zobel J, Verspoor K. Automated assessment of biological database assertions using the scientific literature. BMC Bioinformatics 2019;20(1)
    CrossRef
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. . Applications of crowdsourcing in health: an overview. Journal of Global Health 2018;8(1)
    CrossRef
  22. 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
  23. 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
  24. 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
  25. Vélez PA, Rey Piedrahita A. Control de calidad en sistemas crowdsourcing: un mapeo sistemático. Scientia et technica 2017;22(1):73
    CrossRef
  26. 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
  27. 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
  28. . 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
  29. 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
  30. 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
  31. Heilbrun ME, Chapman BE, Narasimhan E, Patel N, Mowery D. Feasibility of Natural Language Processing–Assisted Auditing of Critical Findings in Chest Radiology. Journal of the American College of Radiology 2019;16(9):1299
    CrossRef
  32. 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
  33. de Amorim MN, Saleme EB, Assis Neto FRD, Santos CAS, Ghinea G. Crowdsourcing authoring of sensory effects on videos. Multimedia Tools and Applications 2019;78(14):19201
    CrossRef
  34. Dumitrache A, Inel O, Timmermans B, Ortiz C, Sips R, Aroyo L, Welty C, Sabou M, Aroyo L, Bontcheva K, Bozzon A. Empirical methodology for crowdsourcing ground truth. Semantic Web 2021;12(3):403
    CrossRef
  35. Kononova O, He T, Huo H, Trewartha A, Olivetti EA, Ceder G. Opportunities and challenges of text mining in materials research. iScience 2021;24(3):102155
    CrossRef
  36. Akanbi T, Zhang J. Design information extraction from construction specifications to support cost estimation. Automation in Construction 2021;131:103835
    CrossRef
  37. Dumitrache A, Aroyo L, Welty C. Crowdsourcing Ground Truth for Medical Relation Extraction. ACM Transactions on Interactive Intelligent Systems 2018;8(2):1
    CrossRef
  38. Ozcan S, Boye D, Arsenyan J, Trott P. A Scientometric Exploration of Crowdsourcing: Research Clusters and Applications. IEEE Transactions on Engineering Management 2022;69(6):3023
    CrossRef
  39. Shingjergji K, Celebi R, Scholtes J, Dumontier M. Relation extraction from DailyMed structured product labels by optimally combining crowd, experts and machines. Journal of Biomedical Informatics 2021;122:103902
    CrossRef
  40. Yu S, Chen T, Han L, Demartini G, Sadiq S. DataOps-4G: On Supporting Generalists in Data Quality Discovery. IEEE Transactions on Knowledge and Data Engineering 2022;:1
    CrossRef
  41. Williams JA, Aleroud A, Zimmerman D. Detecting science-based health disinformation: a stylometric machine learning approach. Journal of Computational Social Science 2023;6(2):817
    CrossRef

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

  1. . The Semantic Web. Latest Advances and New Domains. 2015. Chapter 43:701
    CrossRef
  2. . Computational Linguistics and Intelligent Text Processing. 2018. Chapter 35:496
    CrossRef
  3. . Künstliche Intelligenz in Wirtschaft & Gesellschaft. 2020. Chapter 15:275
    CrossRef