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 23.03.15 in Vol 17, No 3 (2015): March

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

Works citing "Ranking Adverse Drug Reactions With Crowdsourcing"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.3962):

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

  1. 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
  2. . Applications of crowdsourcing in health: an overview. Journal of Global Health 2018;8(1)
    CrossRef
  3. 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
  4. 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
  5. 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
  6. Zide M, Caswell K, Peterson E, Aberle DR, Bui AA, Arnold CW. Consumers’ Patient Portal Preferences and Health Literacy: A Survey Using Crowdsourcing. JMIR Research Protocols 2016;5(2):e104
    CrossRef
  7. Smith RJ, Merchant RM. Harnessing the crowd to accelerate molecular medicine research. Trends in Molecular Medicine 2015;21(7):403
    CrossRef
  8. Banda JM, Callahan A, Winnenburg R, Strasberg HR, Cami A, Reis BY, Vilar S, Hripcsak G, Dumontier M, Shah NH. Feasibility of Prioritizing Drug–Drug-Event Associations Found in Electronic Health Records. Drug Safety 2016;39(1):45
    CrossRef
  9. Dainty KN, Vaid H, Brooks SC. North American Public Opinion Survey on the Acceptability of Crowdsourcing Basic Life Support for Out-of-Hospital Cardiac Arrest With the PulsePoint Mobile Phone App. JMIR mHealth and uHealth 2017;5(5):e63
    CrossRef
  10. Lardon J, Abdellaoui R, Bellet F, Asfari H, Souvignet J, Texier N, Jaulent M, Beyens M, Burgun A, Bousquet C. Adverse Drug Reaction Identification and Extraction in Social Media: A Scoping Review. Journal of Medical Internet Research 2015;17(7):e171
    CrossRef
  11. P Tafti A, Badger J, LaRose E, Shirzadi E, Mahnke A, Mayer J, Ye Z, Page D, Peissig P. Adverse Drug Event Discovery Using Biomedical Literature: A Big Data Neural Network Adventure. JMIR Medical Informatics 2017;5(4):e51
    CrossRef
  12. Hendrickx JO, van Gastel J, Leysen H, Martin B, Maudsley S, Michel MC. High-dimensionality Data Analysis of Pharmacological Systems Associated with Complex Diseases. Pharmacological Reviews 2020;72(1):191
    CrossRef
  13. Valeanu A, Damian C, Marineci CD, Negres S. The development of a scoring and ranking strategy for a patient-tailored adverse drug reaction prediction in polypharmacy. Scientific Reports 2020;10(1)
    CrossRef
  14. Zhou L, Parmanto B. Development and Validation of a Comprehensive Well-Being Scale for People in the University Environment (Pitt Wellness Scale) Using a Crowdsourcing Approach: Cross-Sectional Study. Journal of Medical Internet Research 2020;22(4):e15075
    CrossRef
  15. Wang Z, Monteiro CD, Jagodnik KM, Fernandez NF, Gundersen GW, Rouillard AD, Jenkins SL, Feldmann AS, Hu KS, McDermott MG, Duan Q, Clark NR, Jones MR, Kou Y, Goff T, Woodland H, Amaral FMR, Szeto GL, Fuchs O, Schüssler-Fiorenza Rose SM, Sharma S, Schwartz U, Bausela XB, Szymkiewicz M, Maroulis V, Salykin A, Barra CM, Kruth CD, Bongio NJ, Mathur V, Todoric RD, Rubin UE, Malatras A, Fulp CT, Galindo JA, Motiejunaite R, Jüschke C, Dishuck PC, Lahl K, Jafari M, Aibar S, Zaravinos A, Steenhuizen LH, Allison LR, Gamallo P, de Andres Segura F, Dae Devlin T, Pérez-García V, Ma’ayan A. Extraction and analysis of signatures from the Gene Expression Omnibus by the crowd. Nature Communications 2016;7(1)
    CrossRef
  16. Truitt AR, Monsell SE, Avins AL, Nerenz DR, Lawrence SO, Bauer Z, Comstock BA, Edwards TC, Patrick DL, Jarvik JG, Lavallee DC. Prioritizing research topics: a comparison of crowdsourcing and patient registry. Quality of Life Research 2018;27(1):41
    CrossRef
  17. Sims MH, Hodges Shaw M, Gilbertson S, Storch J, Halterman MW. Legal and ethical issues surrounding the use of crowdsourcing among healthcare providers. Health Informatics Journal 2019;25(4):1618
    CrossRef
  18. Washington P, Leblanc E, Dunlap K, Penev Y, Kline A, Paskov K, Sun MW, Chrisman B, Stockham N, Varma M, Voss C, Haber N, Wall DP. Precision Telemedicine through Crowdsourced Machine Learning: Testing Variability of Crowd Workers for Video-Based Autism Feature Recognition. Journal of Personalized Medicine 2020;10(3):86
    CrossRef
  19. Chang T, Verma BA, Shull T, Moniz MH, Kohatsu L, Plegue MA, Collins-Thompson K. Crowdsourcing and the Accuracy of Online Information Regarding Weight Gain in Pregnancy: A Descriptive Study. Journal of Medical Internet Research 2016;18(4):e81
    CrossRef
  20. Li Y, Wang H, Kou NM, U LH, Gong Z. Crowdsourced top-k queries by pairwise preference judgments with confidence and budget control. The VLDB Journal 2021;30(2):189
    CrossRef
  21. Lavertu A, Hamamsy T, Altman RB. Quantifying the Severity of Adverse Drug Reactions Using Social Media: Network Analysis. Journal of Medical Internet Research 2021;23(10):e27714
    CrossRef
  22. Yin B, Wei X. Efficient Crowdsourced Pareto-Optimal Queries Over Partial Orders With Quality Guarantee. IEEE Transactions on Emerging Topics in Computing 2022;10(1):297
    CrossRef
  23. Gao Y, Duan W, Rui H. Does Social Media Accelerate Product Recalls? Evidence from the Pharmaceutical Industry. Information Systems Research 2022;33(3):954
    CrossRef
  24. Liu J, Gui Y, Rao J, Sun J, Wang G, Ren Q, Qu N, Niu B, Chen Z, Sheng X, Wang Y, Zheng M, Li X. In silico off-target profiling for enhanced drug safety assessment. Acta Pharmaceutica Sinica B 2024;
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.3962):

  1. . Meyler's Side Effects of Drugs. 2016. :738
    CrossRef