 Crowdsourcing
"Crowdsourcing" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
Social media model for enabling public involvement and recruitment in participation. Use of social media to collect feedback and recruit volunteer subjects.
| Descriptor ID |
D063045
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| MeSH Number(s) |
L01.399.250.179
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| Concept/Terms |
Crowdsourcing- Crowdsourcing
- Crowdsourcings
- Crowd Sourcing
- Crowd Sourcings
- Sourcing, Crowd
- Sourcings, Crowd
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Below are MeSH descriptors whose meaning is more general than "Crowdsourcing".
Below are MeSH descriptors whose meaning is more specific than "Crowdsourcing".
This graph shows the total number of publications written about "Crowdsourcing" by people in this website by year, and whether "Crowdsourcing" was a major or minor topic of these publications.
To see the data from this visualization as text, click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 2013 | 1 | 0 | 1 | | 2016 | 3 | 2 | 5 | | 2018 | 0 | 1 | 1 | | 2020 | 4 | 1 | 5 | | 2021 | 0 | 1 | 1 | | 2022 | 1 | 0 | 1 | | 2023 | 1 | 0 | 1 |
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Below are the most recent publications written about "Crowdsourcing" by people in Profiles.
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Golob JL, Oskotsky TT, Tang AS, Roldan A, Chung V, Ha CWY, Wong RJ, Flynn KJ, Parraga-Leo A, Wibrand C, Minot SS, Oskotsky B, Andreoletti G, Kosti I, Bletz J, Nelson A, Gao J, Wei Z, Chen G, Tang ZZ, Novielli P, Romano D, Pantaleo E, Amoroso N, Monaco A, Vacca M, De Angelis M, Bellotti R, Tangaro S, Kuntzleman A, Bigcraft I, Techtmann S, Bae D, Kim E, Jeon J, Joe S, Theis KR, Ng S, Lee YS, Diaz-Gimeno P, Bennett PR, MacIntyre DA, Stolovitzky G, Lynch SV, Albrecht J, Gomez-Lopez N, Romero R, Stevenson DK, Aghaeepour N, Tarca AL, Costello JC, Sirota M. Microbiome preterm birth DREAM challenge: Crowdsourcing machine learning approaches to advance preterm birth research. Cell Rep Med. 2024 01 16; 5(1):101350.
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Sun D, Nguyen TM, Allaway RJ, Wang J, Chung V, Yu TV, Mason M, Dimitrovsky I, Ericson L, Li H, Guan Y, Israel A, Olar A, Pataki BA, Stolovitzky G, Guinney J, Gulko PS, Frazier MB, Chen JY, Costello JC, Bridges SL. A Crowdsourcing Approach to Develop Machine Learning Models to Quantify Radiographic Joint Damage in Rheumatoid Arthritis. JAMA Netw Open. 2022 08 01; 5(8):e2227423.
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Tarca AL, Pataki B?, Romero R, Sirota M, Guan Y, Kutum R, Gomez-Lopez N, Done B, Bhatti G, Yu T, Andreoletti G, Chaiworapongsa T, Hassan SS, Hsu CD, Aghaeepour N, Stolovitzky G, Csabai I, Costello JC. Crowdsourcing assessment of maternal blood multi-omics for predicting gestational age and preterm birth. Cell Rep Med. 2021 06 15; 2(6):100323.
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Thompson DC, Bentzien J. Crowdsourcing and open innovation in drug discovery: recent contributions and future directions. Drug Discov Today. 2020 12; 25(12):2284-2293.
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Tangcharoensathien V, Calleja N, Nguyen T, Purnat T, D'Agostino M, Garcia-Saiso S, Landry M, Rashidian A, Hamilton C, AbdAllah A, Ghiga I, Hill A, Hougendobler D, van Andel J, Nunn M, Brooks I, Sacco PL, De Domenico M, Mai P, Gruzd A, Alaphilippe A, Briand S. Framework for Managing the COVID-19 Infodemic: Methods and Results of an Online, Crowdsourced WHO Technical Consultation. J Med Internet Res. 2020 06 26; 22(6):e19659.
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Chang K, Beers AL, Brink L, Patel JB, Singh P, Arun NT, Hoebel KV, Gaw N, Shah M, Pisano ED, Tilkin M, Coombs LP, Dreyer KJ, Allen B, Agarwal S, Kalpathy-Cramer J. Multi-Institutional Assessment and Crowdsourcing Evaluation of Deep Learning for Automated Classification of Breast Density. J Am Coll Radiol. 2020 Dec; 17(12):1653-1662.
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Chang WH, Mashouri P, Lozano AX, Johnstone B, Husic M, Olry A, Maiella S, Balci TB, Sawyer SL, Robinson PN, Rath A, Brudno M. Phenotate: crowdsourcing phenotype annotations as exercises in undergraduate classes. Genet Med. 2020 08; 22(8):1391-1400.
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Topaz CM, Cart J, Diaz Eaton C, Hanson Shrout A, Higdon JA, Ince K, Katz B, Lewis D, Libertini J, Smith CM. Comparing demographics of signatories to public letters on diversity in the mathematical sciences. PLoS One. 2020; 15(4):e0232075.
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Engle K, Talbot M, Samuelson KW. Is Amazon's Mechanical Turk (MTurk) a comparable recruitment source for trauma studies? Psychol Trauma. 2020 May; 12(4):381-388.
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Schwab-Reese LM, Hovdestad W, Tonmyr L, Fluke J. The potential use of social media and other internet-related data and communications for child maltreatment surveillance and epidemiological research: Scoping review and recommendations. Child Abuse Negl. 2018 11; 85:187-201.
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