메뉴 건너뛰기




Volumn 17, Issue 1, 2016, Pages 23-32

Crowdsourcing in biomedicine: Challenges and opportunities

Author keywords

Amazon Mechanical Turk; Big data mining; Biomedicine; Community challenges; Crowdsourcing; Games

Indexed keywords

BIOMEDICINE; CLINICAL RESEARCH; CROWDSOURCING; GENOMICS; MARKET; MINING; BIOLOGY; DATA MINING; HUMAN; INTERNET; SEARCH ENGINE; SMARTPHONE; SOCIAL MEDIA; TRENDS; VIDEO GAME;

EID: 84960090889     PISSN: 14675463     EISSN: 14774054     Source Type: Journal    
DOI: 10.1093/bib/bbv021     Document Type: Article
Times cited : (79)

References (95)
  • 2
    • 84908087913 scopus 로고    scopus 로고
    • Understanding PubMed user search behavior through log analysis
    • Islamaj Dogan R, Murray GC, Neveol A, et al. Understanding PubMed user search behavior through log analysis. Database 2009;2009:bap018.
    • (2009) Database , vol.2009
    • Islamaj Dogan, R.1    Murray, G.C.2    Neveol, A.3
  • 3
    • 84927517824 scopus 로고    scopus 로고
    • Accessing biomedical literature in the current information landscape
    • Khare R, Leaman R, Lu Z. Accessing biomedical literature in the current information landscape. Methods Mol Biol 2014; 1159:11-31.
    • (2014) Methods Mol Biol , vol.1159 , pp. 11-31
    • Khare, R.1    Leaman, R.2    Lu, Z.3
  • 4
    • 84943187305 scopus 로고    scopus 로고
    • Scaling Drug Indication Curation through Crowdsourcing
    • Khare R, Burger J, Aberdeen J, et al. Scaling Drug Indication Curation through Crowdsourcing. Database 2015; 2015:bav016.
    • (2015) Database 2015
    • Khare, R.1    Burger, J.2    Aberdeen, J.3
  • 5
    • 84925545894 scopus 로고    scopus 로고
    • Hybrid curation of genemutation relations combining automated extraction and crowdsourcing
    • Burger J, Doughty EK, Khare R, et al. Hybrid curation of genemutation relations combining automated extraction and crowdsourcing. Database 2014;2014:bau094.
    • (2014) Database , vol.2014
    • Burger, J.1    Doughty, E.K.2    Khare, R.3
  • 6
    • 84908544554 scopus 로고    scopus 로고
    • Use of crowdsourcing for cancer clinical trial development
    • Leiter A, Sablinski T, Diefenbach M, et al. Use of crowdsourcing for cancer clinical trial development. J Natl Cancer Inst 2014;106:dju258.
    • (2014) J Natl Cancer Inst , vol.106
    • Leiter, A.1    Sablinski, T.2    Diefenbach, M.3
  • 7
    • 84855206623 scopus 로고    scopus 로고
    • Games with a scientific purpose
    • Good BM, Su AI. Games with a scientific purpose. Genome Biol 2011;12:135.
    • (2011) Genome Biol , vol.12 , pp. 135
    • Good, B.M.1    Su, A.I.2
  • 8
    • 84872222383 scopus 로고    scopus 로고
    • Development and evaluation of a crowdsourcingmethodology for knowledge base construction: Identifying relationships between clinical problems andmedications
    • McCoy AB, Wright A, Laxmisan A, et al. Development and evaluation of a crowdsourcingmethodology for knowledge base construction: identifying relationships between clinical problems andmedications. J AmMed Inf Assoc 2012;19:713-18.
    • (2012) J AmMed Inf Assoc , vol.19 , pp. 713-718
    • McCoy, A.B.1    Wright, A.2    Laxmisan, A.3
  • 9
    • 84878929196 scopus 로고    scopus 로고
    • A crowdsourcing model for creating preclinical medical education study tools
    • Bow HC, Dattilo JR, Jonas AM, et al. A crowdsourcing model for creating preclinical medical education study tools. Acad Med 2013;88:766-70.
    • (2013) Acad Med , vol.88 , pp. 766-770
    • Bow, H.C.1    Dattilo, J.R.2    Jonas, A.M.3
  • 10
    • 84880973546 scopus 로고    scopus 로고
    • Crowdsourcing for bioinformatics
    • Good BM, Su AI. Crowdsourcing for bioinformatics. Bioinformatics 2013;29:1925-33.
    • (2013) Bioinformatics , vol.29 , pp. 1925-1933
    • Good, B.M.1    Su, A.I.2
  • 11
    • 80053360508 scopus 로고    scopus 로고
    • Cheap and Fast-But is it Good?
    • Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, Honolulu, Hawaii
    • Snow R, O'Connor B, Jurafsky D, et al. Cheap and Fast-But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks. In: Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, Honolulu, Hawaii, 2008, pp. 254-63.
    • (2008) Evaluating Non-Expert Annotations for Natural Language Tasks , pp. 254-263
    • Snow, R.1    O'Connor, B.2    Jurafsky, D.3
  • 12
    • 84877354135 scopus 로고    scopus 로고
    • Preliminary experiments with Amazon's mechanical turk for annotating medical named entities
    • NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk
    • Yetisgen-Yildiz M, Solti I, Xia F, et al. Preliminary experiments with Amazon's mechanical turk for annotating medical named entities. In: NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk. Association for Computational Linguistics, Los Angeles, CA, 2010, pp. 180-3.
    • (2010) Association for Computational Linguistics, Los Angeles, CA , pp. 180-183
    • Yetisgen-Yildiz, M.1    Solti, I.2    Xia, F.3
  • 13
    • 80052774027 scopus 로고    scopus 로고
    • The gene normalization task in BioCreative III
    • Lu Z, Kao HY, Wei CH, et al. The gene normalization task in BioCreative III. BMC Bioinformatics 2011;12(Suppl 8): S2.
    • (2011) BMC Bioinformatics , vol.12 , pp. S2
    • Lu, Z.1    Kao, H.Y.2    Wei, C.H.3
  • 14
    • 84876273527 scopus 로고    scopus 로고
    • Large-scale event extraction from literature with multi-level gene normalization
    • Van Landeghem S, Bjorne J, Wei CH, et al. Large-scale event extraction from literature with multi-level gene normalization. PloS One 2013;8:e55814.
    • (2013) PloS One , vol.8
    • Van Landeghem, S.1    Bjorne, J.2    Wei, C.H.3
  • 15
    • 84873598227 scopus 로고    scopus 로고
    • Prize-based contests can provide solutions to computational biology problems
    • Lakhani KR, Boudreau KJ, Loh PR, et al. Prize-based contests can provide solutions to computational biology problems. Nat Biotechnol 2013;31:108-11.
    • (2013) Nat Biotechnol , vol.31 , pp. 108-111
    • Lakhani, K.R.1    Boudreau, K.J.2    Loh, P.R.3
  • 16
    • 77955491294 scopus 로고    scopus 로고
    • Predicting protein structures with a multiplayer online game
    • Cooper S, Khatib F, Treuille A, et al. Predicting protein structures with a multiplayer online game. Nature 2010;466: 756-60.
    • (2010) Nature , vol.466 , pp. 756-760
    • Cooper, S.1    Khatib, F.2    Treuille, A.3
  • 17
    • 84971343428 scopus 로고    scopus 로고
    • Session Introduction
    • Pacific Symposium on Biocomputing.Hawaii
    • Leaman R, Good BM, Su AI, et al. Session Introduction. In: Pacific Symposium on Biocomputing, Vol. 20, Hawaii, 2015, pp. 267-9.
    • (2015) , vol.20 , pp. 267-269
    • Leaman, R.1    Good, B.M.2    Su, A.I.3
  • 18
    • 84879892778 scopus 로고    scopus 로고
    • Web-scale pharmacovigilance: Listening to signals from the crowd
    • White RW, Tatonetti NP, Shah NH, et al. Web-scale pharmacovigilance: listening to signals from the crowd. J Am Med Inf Assoc 2013;20:404-8.
    • (2013) J Am Med Inf Assoc , vol.20 , pp. 404-408
    • White, R.W.1    Tatonetti, N.P.2    Shah, N.H.3
  • 19
    • 84971255224 scopus 로고    scopus 로고
    • Analyzing search behavior of healthcare professionals for drug safety surveillance
    • Pacific Symposium on Biocomputing., Hawaii
    • Odgers DJ, Harpaz R, Callahan A, et al. Analyzing search behavior of healthcare professionals for drug safety surveillance. In: Pacific Symposium on Biocomputing, Vol. 20, Hawaii, 2015, pp. 306-17.
    • (2015) , vol.20 , pp. 306-317
    • Odgers, D.J.1    Harpaz, R.2    Callahan, A.3
  • 20
    • 84901857191 scopus 로고    scopus 로고
    • Digital drug safety surveillance: Monitoring pharmaceutical products in twitter
    • Freifeld CC, Brownstein JS, Menone CM, et al. Digital drug safety surveillance: monitoring pharmaceutical products in twitter. Drug Safety 2014;37:343-50.
    • (2014) Drug Safety , vol.37 , pp. 343-350
    • Freifeld, C.C.1    Brownstein, J.S.2    Menone, C.M.3
  • 22
    • 84858329412 scopus 로고    scopus 로고
    • Data-driven prediction of drug effects and interactions
    • Tatonetti NP, Ye PP, Daneshjou R, et al. Data-driven prediction of drug effects and interactions. Sci Trans Med 2012;4: 125ra131.
    • (2012) Sci Trans Med , vol.4
    • Tatonetti, N.P.1    Ye, P.P.2    Daneshjou, R.3
  • 23
    • 84899048828 scopus 로고    scopus 로고
    • Postmarketing drug safety surveillance using publicly available health-consumer-contributed content in social media
    • Yang CC, Yang H, Jiang L. Postmarketing drug safety surveillance using publicly available health-consumer-contributed content in social media. ACM Trans Manag Inf Syst 2014;5.
    • (2014) ACM Trans Manag Inf Syst , vol.5
    • Yang, C.C.1    Yang, H.2    Jiang, L.3
  • 25
    • 84870452887 scopus 로고    scopus 로고
    • A drug-adverse event extraction algorithm to support pharmacovigilance knowledge mining from PubMed citations
    • Wang W, Haerian K, Salmasian H, et al. A drug-adverse event extraction algorithm to support pharmacovigilance knowledge mining from PubMed citations. AMIA 2011;2011: 1464-70.
    • (2011) AMIA , vol.2011 , pp. 1464-1470
    • Wang, W.1    Haerian, K.2    Salmasian, H.3
  • 26
    • 84954599738 scopus 로고    scopus 로고
    • Seasonal trends in sleep-disordered breathing: Evidence from Internet search engine query data
    • Ingram DG, Matthews CK, Plante DT. Seasonal trends in sleep-disordered breathing: evidence from Internet search engine query data. Sleep Breath 2015;19:79-84.
    • (2015) Sleep Breath , vol.19 , pp. 79-84
    • Ingram, D.G.1    Matthews, C.K.2    Plante, D.T.3
  • 27
    • 84921645203 scopus 로고    scopus 로고
    • Using Google Flu Trends data in forecasting influenza-like-illness related ED visits in Omaha, Nebraska
    • Araz OM, Bentley D, Muelleman RL. Using Google Flu Trends data in forecasting influenza-like-illness related ED visits in Omaha, Nebraska. Am J Emerg Med 2014;32:1016-23.
    • (2014) Am J Emerg Med , vol.32 , pp. 1016-1023
    • Araz, O.M.1    Bentley, D.2    Muelleman, R.L.3
  • 28
    • 84893260382 scopus 로고    scopus 로고
    • Global Smartphone Installed Base Forecast by Operating System for 88 Countries: 2007 to 2017
    • WWWdocument
    • Bichero S. Global Smartphone Installed Base Forecast by Operating System for 88 Countries: 2007 to 2017.WWWdocument, http://www.strategyanalytics.com/default.aspx?mod = reportabstractviewer&a0=7834.
    • Bichero, S.1
  • 30
    • 84894210860 scopus 로고    scopus 로고
    • Innovating openly: Researchers and patients turn to crowdsourcing to collaborate on clinical trials, drug discovery, and more
    • Morton CC. Innovating openly: researchers and patients turn to crowdsourcing to collaborate on clinical trials, drug discovery, and more. IEEE Pulse 2014;5:63-7.
    • (2014) IEEE Pulse , vol.5 , pp. 63-67
    • Morton, C.C.1
  • 31
    • 84905317224 scopus 로고    scopus 로고
    • The use of crowdsourcing for dietary self-monitoring: Crowdsourced ratings of food pictures are comparable to ratings by trained observers
    • Turner-McGrievy GM, Helander EE, Kaipainen K, et al. The use of crowdsourcing for dietary self-monitoring: crowdsourced ratings of food pictures are comparable to ratings by trained observers. J Am Med Inf Assoc 2014, doi: 10.1136/amiajnl-2014- 002636.
    • (2014) J Am Med Inf Assoc
    • Turner-McGrievy, G.M.1    Helander, E.E.2    Kaipainen, K.3
  • 32
    • 80053244362 scopus 로고    scopus 로고
    • Recommending MeSH terms for annotating biomedical articles
    • Huang M, Neveol A, Lu Z. Recommending MeSH terms for annotating biomedical articles. J Am Med Inf Assoc 2011;18: 660-7.
    • (2011) J Am Med Inf Assoc , vol.18 , pp. 660-667
    • Huang, M.1    Neveol, A.2    Lu, Z.3
  • 33
    • 58149237022 scopus 로고    scopus 로고
    • Evaluation of Query Expansion using MeSH in PubMed
    • Lu Z, Kim W, Wilbur WJ. Evaluation of Query Expansion using MeSH in PubMed. Inf Retr Boston 2009;12:69-80.
    • (2009) Inf Retr Boston , vol.12 , pp. 69-80
    • Lu, Z.1    Kim, W.2    Wilbur, W.J.3
  • 34
    • 57149140268 scopus 로고    scopus 로고
    • Evaluating relevance ranking strategies for MEDLINE retrieval
    • Lu Z, Kim W, Wilbur WJ. Evaluating relevance ranking strategies for MEDLINE retrieval. J Am Med Inf Assoc 2009;16:32-6.
    • (2009) J Am Med Inf Assoc , vol.16 , pp. 32-36
    • Lu, Z.1    Kim, W.2    Wilbur, W.J.3
  • 36
    • 79958124672 scopus 로고    scopus 로고
    • A context-blocks model for identifying clinical relationships in patient records
    • Islamaj Dogan R, Neveol A, Lu Z. A context-blocks model for identifying clinical relationships in patient records. BMC Bioinformatics 2011;12(Suppl 3), S3.
    • (2011) BMC Bioinformatics , vol.12 , pp. S3
    • Islamaj Dogan, R.1    Neveol, A.2    Lu, Z.3
  • 38
    • 79952765434 scopus 로고    scopus 로고
    • Semi-automatic semantic annotation of PubMed queries: A study on quality, efficiency, satisfaction
    • Neveol A, Islamaj Dogan R, Lu Z. Semi-automatic semantic annotation of PubMed queries: a study on quality, efficiency, satisfaction. J Biomed Informatics, 44, 310-18.
    • J Biomed Informatics , vol.44 , pp. 310-318
    • Neveol, A.1    Islamaj Dogan, R.2    Lu, Z.3
  • 39
    • 84877352180 scopus 로고    scopus 로고
    • Web 2.0-based crowdsourcing for high-quality gold standard development in clinical natural language processing
    • Zhai H, Lingren T, Deleger L, et al. Web 2.0-based crowdsourcing for high-quality gold standard development in clinical natural language processing. J Med Internet Res 2013;15:e73.
    • (2013) J Med Internet Res , vol.15 , pp. e73
    • Zhai, H.1    Lingren, T.2    Deleger, L.3
  • 40
    • 84890064920 scopus 로고    scopus 로고
    • DNorm: Disease name normalization with pairwise learning to rank
    • Leaman R, Islamaj Dogan R, Lu Z. DNorm: disease name normalization with pairwise learning to rank. Bioinformatics 2013; 29:2909-17.
    • (2013) Bioinformatics , vol.29 , pp. 2909-2917
    • Leaman, R.1    Islamaj Dogan, R.2    Lu, Z.3
  • 41
    • 84925619870 scopus 로고    scopus 로고
    • tmChem: A high performance tool for chemical named entity recognition and normalization
    • Leaman R, Wei CH, Lu Z. tmChem: a high performance tool for chemical named entity recognition and normalization. J Cheminform 2015;7(Suppl 1):S3.
    • (2015) J Cheminform , vol.7 , pp. S3
    • Leaman, R.1    Wei, C.H.2    Lu, Z.3
  • 43
    • 84883312060 scopus 로고    scopus 로고
    • Identifying medical terms in patient-authored text: A crowdsourcing-based approach
    • MacLean DL, Heer J. Identifying medical terms in patient-authored text: a crowdsourcing-based approach. J Am Med Inform Assoc 2013;20:1120-7.
    • (2013) J Am Med Inform Assoc , vol.20 , pp. 1120-1127
    • MacLean, D.L.1    Heer, J.2
  • 45
    • 84971246378 scopus 로고    scopus 로고
    • Microtask Crowdsourcing for Disease Mention Annotation in PubMed Abstracts
    • Pacific Symposium on Biocomputing., Hawaii
    • Good BM, Nanis M, Wu C, et al. Microtask Crowdsourcing for Disease Mention Annotation in PubMed Abstracts. In: Pacific Symposium on Biocomputing, Vol. 20, Hawaii, 2015, pp. 282-93.
    • (2015) , vol.20 , pp. 282-293
    • Good, B.M.1    Nanis, M.2    Wu, C.3
  • 46
    • 84895437465 scopus 로고    scopus 로고
    • NCBI disease corpus: A resource for disease name recognition and concept normalization
    • Dogan RI, Leaman R, Lu Z. NCBI disease corpus: a resource for disease name recognition and concept normalization. J Biomed Inform 2014;47:1-10.
    • (2014) J Biomed Inform , vol.47 , pp. 1-10
    • Dogan, R.I.1    Leaman, R.2    Lu, Z.3
  • 47
    • 84875575941 scopus 로고    scopus 로고
    • An improved corpus of disease mentions in PubMed citations
    • Workshop on Biomedical Natural Language Processing
    • Dogan RI, Lu Z. An improved corpus of disease mentions in PubMed citations. In: Workshop on Biomedical Natural Language Processing. Association for Computational Linguistics, Montreal, Canada, 2012, pp. 91-9.
    • (2012) Association for Computational Linguistics, Montreal, Canada , pp. 91-99
    • Dogan, R.I.1    Lu, Z.2
  • 48
    • 84883572716 scopus 로고    scopus 로고
    • PubTator: A web-based text mining tool for assisting biocuration
    • Wei CH, Kao HY, Lu Z. PubTator: a web-based text mining tool for assisting biocuration. Nucleic Acids Res 2013;41:W518-22.
    • (2013) Nucleic Acids Res , vol.41 , pp. W518-W522
    • Wei, C.H.1    Kao, H.Y.2    Lu, Z.3
  • 49
    • 84876499465 scopus 로고    scopus 로고
    • Accelerating literature curation with text-mining tools: A case study of using PubTator to curate genes in PubMed abstracts
    • Wei CH, Harris BR, Li D, et al. Accelerating literature curation with text-mining tools: a case study of using PubTator to curate genes in PubMed abstracts. Database 2012;2012:bas041.
    • (2012) Database 2012
    • Wei, C.H.1    Harris, B.R.2    Li, D.3
  • 50
    • 84879330505 scopus 로고    scopus 로고
    • An overview of the BioCreative 2012 Workshop Track III: Interactive text mining task
    • Arighi CN, Carterette B, Cohen KB, et al. An overview of the BioCreative 2012 Workshop Track III: interactive text mining task. Database 2013;2013:bas056.
    • (2013) Database 2013
    • Arighi, C.N.1    Carterette, B.2    Cohen, K.B.3
  • 51
    • 84876462011 scopus 로고    scopus 로고
    • Biocuration workflows and text mining: Overview of the BioCreative 2012 Workshop Track II
    • Lu Z, Hirschman L. Biocuration workflows and text mining: overview of the BioCreative 2012 Workshop Track II. Database 2012;2012:bas043.
    • (2012) Database 2012
    • Lu, Z.1    Hirschman, L.2
  • 52
    • 84919839429 scopus 로고    scopus 로고
    • LabeledIn: Cataloging labeled indications for human drugs
    • Khare R, Li J, Lu Z. LabeledIn: cataloging labeled indications for human drugs. J Biomed Inform 2014;52:448-56.
    • (2014) J Biomed Inform , vol.52 , pp. 448-456
    • Khare, R.1    Li, J.2    Lu, Z.3
  • 53
    • 84863914239 scopus 로고    scopus 로고
    • Validating candidate gene-mutation relations in MEDLINE abstracts via crowdsourcing
    • Burger JD, Doughty E, Bayer S, et al. Validating candidate gene-mutation relations in MEDLINE abstracts via crowdsourcing. Data Integr Life Sci Lect Notes Comput Sci 2012;7348: 83-91.
    • (2012) Data Integr Life Sci Lect Notes Comput Sci , vol.7348 , pp. 83-91
    • Burger, J.D.1    Doughty, E.2    Bayer, S.3
  • 54
    • 84861856856 scopus 로고    scopus 로고
    • SR4GN: A species recognition software tool for gene normalization
    • Wei CH, Kao HY, Lu Z. SR4GN: a species recognition software tool for gene normalization. PloS One 2012;7:e38460.
    • (2012) PloS One , vol.7
    • Wei, C.H.1    Kao, H.Y.2    Lu, Z.3
  • 55
    • 79551581206 scopus 로고    scopus 로고
    • Toward an automatic method for extracting cancer- and other diseaserelated point mutations from the biomedical literature
    • Doughty E, Kertesz-Farkas A, Bodenreider O, et al. Toward an automatic method for extracting cancer- and other diseaserelated point mutations from the biomedical literature. Bioinformatics 2011;27:408-15.
    • (2011) Bioinformatics , vol.27 , pp. 408-415
    • Doughty, E.1    Kertesz-Farkas, A.2    Bodenreider, O.3
  • 56
    • 84964697298 scopus 로고    scopus 로고
    • Using the wisdom of the crowds to find critical errors in biomedical ontologies: A study of SNOMED CT
    • Mortensen JM, Minty EP, Januszyk M, et al. Using the wisdom of the crowds to find critical errors in biomedical ontologies: a study of SNOMED CT. J Am Med Inform Assoc 2014, doi: 10.1136/amiajnl-2014-002901.
    • (2014) J Am Med Inform Assoc
    • Mortensen, J.M.1    Minty, E.P.2    Januszyk, M.3
  • 57
    • 84903790824 scopus 로고    scopus 로고
    • Using crowdsourcing to evaluate published scientific literature: Methods and example
    • Brown AW, Allison DB. Using crowdsourcing to evaluate published scientific literature: methods and example. PloS One 2014;9:e100647.
    • (2014) PloS One , vol.9
    • Brown, A.W.1    Allison, D.B.2
  • 58
    • 84861118142 scopus 로고    scopus 로고
    • Making your database available through Wikipedia: The pros and cons
    • Finn RD, Gardner PP, Bateman A. Making your database available through Wikipedia: the pros and cons. Nucleic Acids Res 2012;40:D9-12.
    • (2012) Nucleic Acids Res , vol.40 , pp. D9-D12
    • Finn, R.D.1    Gardner, P.P.2    Bateman, A.3
  • 59
    • 84881329862 scopus 로고    scopus 로고
    • Dizeez: An online game for human gene-disease annotation
    • Loguercio S, Good BM, Su AI. Dizeez: an online game for human gene-disease annotation. PloS One 2013;8:e71171.
    • (2013) PloS One , vol.8
    • Loguercio, S.1    Good, B.M.2    Su, A.I.3
  • 60
    • 83255164928 scopus 로고    scopus 로고
    • Mining the Gene Wiki for functional genomic knowledge
    • Good BM, Howe DG, Lin SM, et al. Mining the Gene Wiki for functional genomic knowledge. BMC Genomics 2011;12:603.
    • (2011) BMC Genomics , vol.12 , pp. 603
    • Good, B.M.1    Howe, D.G.2    Lin, S.M.3
  • 61
    • 84962957162 scopus 로고    scopus 로고
    • Crowdsourcing RNA Structural Alignments with an Online Computer Game
    • Pacific Symposiumon Biocomputing. Hawaii
    • Waldispühl J, Kam A, Gardner P. Crowdsourcing RNA Structural Alignments with an Online Computer Game. In: Pacific Symposiumon Biocomputing, Vol. 20, Hawaii, 2015, pp. 330-41.
    • (2015) , vol.20 , pp. 330-341
    • Waldispühl, J.1    Kam, A.2    Gardner, P.3
  • 62
    • 49249119915 scopus 로고    scopus 로고
    • Designing games with a purpose
    • Ahn LV, Dabbish L. Designing games with a purpose. Commun ACM 2008;51:58-67.
    • (2008) Commun ACM , vol.51 , pp. 58-67
    • Ahn, L.V.1    Dabbish, L.2
  • 63
    • 85026973940 scopus 로고    scopus 로고
    • Crowdsourcing with Gaminification
    • Advances in Embedded Interactive Systems, Vol. 2, Passau, Germany
    • Gottl F. Crowdsourcing with Gaminification. Advances in Embedded Interactive Systems, Vol. 2, Passau, Germany, 2014.
    • (2014)
    • Gottl, F.1
  • 64
    • 84908090945 scopus 로고    scopus 로고
    • Immune Attack players perform better on a test of cellular immunology and self confidence than their classmates who play a control video game
    • Stegman M. Immune Attack players perform better on a test of cellular immunology and self confidence than their classmates who play a control video game. Faraday Discuss 2014; 169:403-23.
    • (2014) Faraday Discuss , vol.169 , pp. 403-423
    • Stegman, M.1
  • 66
    • 84863230440 scopus 로고    scopus 로고
    • Phylo: A citizen science approach for improving multiple sequence alignment
    • Kawrykow A, Roumanis G, Kam A, et al. Phylo: a citizen science approach for improving multiple sequence alignment. PloS One 2012;7:e31362.
    • (2012) PloS One , vol.7
    • Kawrykow, A.1    Roumanis, G.2    Kam, A.3
  • 67
    • 80455154956 scopus 로고    scopus 로고
    • Crystal structure of a monomeric retroviral protease solved by protein folding game players
    • Khatib F, DiMaio F, Foldit Contenders G, et al. Crystal structure of a monomeric retroviral protease solved by protein folding game players. Nat Struct Mol Biol 2011;18:1175-7.
    • (2011) Nat Struct Mol Biol , vol.18 , pp. 1175-1177
    • Khatib, F.1    DiMaio, F.2    Foldit Contenders, G.3
  • 68
    • 84893831061 scopus 로고    scopus 로고
    • RNA design rules froma massive open laboratory
    • Lee J, Kladwang W, Lee M, et al. RNA design rules froma massive open laboratory. Proc Natl Acad Sci USA 2014;111:2122-7.
    • (2014) Proc Natl Acad Sci USA , vol.111 , pp. 2122-2127
    • Lee, J.1    Kladwang, W.2    Lee, M.3
  • 69
    • 84923259662 scopus 로고    scopus 로고
    • Scientific rigor through videogames
    • Treuille A, Das R. Scientific rigor through videogames. Trends Biochem Sci 2014;39:507-9.
    • (2014) Trends Biochem Sci , vol.39 , pp. 507-509
    • Treuille, A.1    Das, R.2
  • 70
    • 78650090060 scopus 로고    scopus 로고
    • Design, engineering and utility of biotic games
    • Riedel-Kruse IH, Chung AM, Dura B, et al. Design, engineering and utility of biotic games. Lab Chip 2011;11:14-22.
    • (2011) Lab Chip , vol.11 , pp. 14-22
    • Riedel-Kruse, I.H.1    Chung, A.M.2    Dura, B.3
  • 72
    • 84995046262 scopus 로고
    • A large-scale experiment to assess protein structure prediction methods
    • ii-v
    • Moult J, Pedersen JT, Judson R, et al. A large-scale experiment to assess protein structure prediction methods. Proteins 1995; 23:ii-v.
    • (1995) Proteins , vol.23
    • Moult, J.1    Pedersen, J.T.2    Judson, R.3
  • 75
    • 84901593338 scopus 로고    scopus 로고
    • Overview of BioNLP Shared Task 2011
    • Association for Computational Linguistics, Portland, OR
    • Kim JD, Pyysalo S, Ohta T, et al. Overview of BioNLP Shared Task 2011. In: Proceedings of BioNLP Shared Task 2011 Workshop. Association for Computational Linguistics, Portland, OR, 2011, pp. 1-6.
    • (2011) Proceedings of BioNLP Shared Task 2011 Workshop , pp. 1-6
    • Kim, J.D.1    Pyysalo, S.2    Ohta, T.3
  • 76
    • 58149242540 scopus 로고    scopus 로고
    • TREC genomics special issue overview
    • Hersh W, Voorhees E. TREC genomics special issue overview. Inf Retr 2009;12:1-15.
    • (2009) Inf Retr , vol.12 , pp. 1-15
    • Hersh, W.1    Voorhees, E.2
  • 77
    • 80053292637 scopus 로고    scopus 로고
    • 2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text
    • Uzuner O, South BR, Shen S, et al. 2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text. J Am Med Inform Assoc 2011;18:552-6.
    • (2011) J Am Med Inform Assoc , vol.18 , pp. 552-556
    • Uzuner, O.1    South, B.R.2    Shen, S.3
  • 78
    • 84960109752 scopus 로고    scopus 로고
    • Community Challenges in Biomedical Text Mining over 10 Years: Success, Failure, and the Future
    • Huang M, Lu Z. Community Challenges in Biomedical Text Mining over 10 Years: Success, Failure, and the Future. Brief Bioinformatics 2016;17(1):132-44.
    • (2016) Brief Bioinformatics , vol.17 , Issue.1 , pp. 132-144
    • Huang, M.1    Lu, Z.2
  • 79
    • 84870305264 scopus 로고    scopus 로고
    • Wisdom of crowds for robust gene network inference
    • Marbach D, Costello JC, Kuffner R, et al. Wisdom of crowds for robust gene network inference. Nat Methods 2012;9: 796-804.
    • (2012) Nat Methods , vol.9 , pp. 796-804
    • Marbach, D.1    Costello, J.C.2    Kuffner, R.3
  • 80
    • 84877765675 scopus 로고    scopus 로고
    • Systematic analysis of challenge-driven improvements in molecular prognostic models for breast cancer
    • Margolin AA, Bilal E, Huang E, et al. Systematic analysis of challenge-driven improvements in molecular prognostic models for breast cancer. Sci Trans Med 2013;5:181re181.
    • (2013) Sci Trans Med , vol.5
    • Margolin, A.A.1    Bilal, E.2    Huang, E.3
  • 81
    • 84906312795 scopus 로고    scopus 로고
    • WeFold: A coopetition for protein structure prediction
    • Khoury GA, Liwo A, Khatib F, et al. WeFold: a coopetition for protein structure prediction. Proteins 2014;82:1850-68.
    • (2014) Proteins , vol.82 , pp. 1850-1868
    • Khoury, G.A.1    Liwo, A.2    Khatib, F.3
  • 82
    • 77953088193 scopus 로고    scopus 로고
    • Who are the Crowdworkers?
    • CHI '10 Extended Abstracts on Human Factors in Computing Systems. ACM, Atlanta, Georgia
    • Ross J, Irani I, Silberman MS, et al. Who are the Crowdworkers?: Shifting Demographics in Amazon Mechanical Turk. In: CHI '10 Extended Abstracts on Human Factors in Computing Systems. ACM, Atlanta, Georgia, 2010, pp. 2863-72.
    • (2010) Shifting Demographics in Amazon Mechanical Turk , pp. 2863-2872
    • Ross, J.1    Irani, I.2    Silberman, M.S.3
  • 83
    • 84873655668 scopus 로고    scopus 로고
    • When Google got flu wrong
    • Butler D. When Google got flu wrong. Nature 2013;494: 155-6.
    • (2013) Nature , vol.494 , pp. 155-156
    • Butler, D.1
  • 84
    • 79958245410 scopus 로고    scopus 로고
    • Amazon Mechanical Turk: Gold Mine or Coal Mine?
    • Computational Linguistics
    • Fort K, Adda G, Cohen KB. Amazon Mechanical Turk: Gold Mine or Coal Mine?. In: Computational Linguistics, 37(2) (2011), pp. 413-20.
    • (2011) , vol.37 , Issue.2 , pp. 413-420
    • Fort, K.1    Adda, G.2    Cohen, K.B.3
  • 85
    • 84960116664 scopus 로고    scopus 로고
    • Understanding What Motivates Participation on Crowdsourcing Platforms
    • e-Skills for Knowledge Production and Innovation Conference, Cape Town, South Africa
    • Machine D, Ophoff J. Understanding What Motivates Participation on Crowdsourcing Platforms. In: e-Skills for Knowledge Production and Innovation Conference, Cape Town, South Africa, 2014, pp. 191-200.
    • (2014) , pp. 191-200
    • Machine, D.1    Ophoff, J.2
  • 86
    • 84874577955 scopus 로고    scopus 로고
    • Crowdsourcing 101: A few basics to make you the leader of the pack
    • Parvanta C, Roth Y, Keller H. Crowdsourcing 101: a few basics to make you the leader of the pack. Health Promot Pract 2013; 14:163-7.
    • (2013) Health Promot Pract , vol.14 , pp. 163-167
    • Parvanta, C.1    Roth, Y.2    Keller, H.3
  • 87
    • 78650959094 scopus 로고    scopus 로고
    • Can clinicians create high-quality databases: A study on a flexible electronic health record (fEHR) system
    • International Health Informatics Symposium. ACM, Washington, DC
    • Khare R, An Y, Song IY, et al. Can clinicians create high-quality databases: a study on a flexible electronic health record (fEHR) system. In: International Health Informatics Symposium. ACM, Washington, DC, 2010, pp. 8-17.
    • (2010) , pp. 8-17
    • Khare, R.1    An, Y.2    Song, I.Y.3
  • 88
    • 84883061349 scopus 로고    scopus 로고
    • Formative evaluation of the accuracy of a clinical decision support systemfor cervical cancer screening
    • Wagholikar KB, MacLaughlin KL, Kastner TM, et al. Formative evaluation of the accuracy of a clinical decision support systemfor cervical cancer screening. J Am Med Inform Assoc 2013; 20:749-57.
    • (2013) J Am Med Inform Assoc , vol.20 , pp. 749-757
    • Wagholikar, K.B.1    MacLaughlin, K.L.2    Kastner, T.M.3
  • 89
    • 84893433238 scopus 로고    scopus 로고
    • Understanding the EMR error control practices among gynecologic physicians
    • iConference 2013, iSchools, Fort Worth, Texas
    • Khare R, An Y, Wolf S, et al. Understanding the EMR error control practices among gynecologic physicians. In: iConference 2013, iSchools, Fort Worth, Texas, 2013, pp. 289-301.
    • (2013) , pp. 289-301
    • Khare, R.1    An, Y.2    Wolf, S.3
  • 90
    • 84907588683 scopus 로고    scopus 로고
    • Quantifying the impact and extent of undocumented biomedical synonymy
    • Blair DR, Wang K, Nestorov S, et al. Quantifying the impact and extent of undocumented biomedical synonymy. PLoS Comput Biol 2014;10:e1003799.
    • (2014) PLoS Comput Biol , vol.10
    • Blair, D.R.1    Wang, K.2    Nestorov, S.3
  • 91
    • 84881082315 scopus 로고    scopus 로고
    • Crowdsourcing participatory evaluation of medical pictograms using Amazon Mechanical Turk
    • Yu B, Willis M, Sun P, et al. Crowdsourcing participatory evaluation of medical pictograms using Amazon Mechanical Turk. J Med Int Res 2013;15:e108.
    • (2013) J Med Int Res , vol.15 , pp. e108
    • Yu, B.1    Willis, M.2    Sun, P.3
  • 92
    • 84912101219 scopus 로고    scopus 로고
    • Gamification as a tool for enhancing graduate medical education
    • Nevin CR, Westfall AO, Rodriguez JM, et al. Gamification as a tool for enhancing graduate medical education. Postgrad Med J 2014;90:685-93.
    • (2014) Postgrad Med J , vol.90 , pp. 685-693
    • Nevin, C.R.1    Westfall, A.O.2    Rodriguez, J.M.3
  • 93
    • 84904257733 scopus 로고    scopus 로고
    • Crowdsourcing for cognitive science-the utility of smartphones
    • Brown HR, Zeidman P, Smittenaar P, et al. Crowdsourcing for cognitive science-the utility of smartphones. PloS One 2014;9: e100662.
    • (2014) PloS One , vol.9
    • Brown, H.R.1    Zeidman, P.2    Smittenaar, P.3
  • 95
    • 84960098373 scopus 로고    scopus 로고
    • Participation inequality: Lurkers vs. contributors in internet communities
    • Jakob Nielsen's Alert-box
    • Neilson J. Participation inequality: lurkers vs. contributors in internet communities. Jakob Nielsen's Alert-box, 2006.
    • (2006)
    • Neilson, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.