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Journal of Medical Internet Research

Citing this Article

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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. Wazny K. Applications of crowdsourcing in health: an overview. Journal of Global Health 2018;8(1)
    CrossRef
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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;7:12846
    CrossRef
  8. 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
  9. 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
  10. 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
  11. Smith RJ, Merchant RM. Harnessing the crowd to accelerate molecular medicine research. Trends in Molecular Medicine 2015;21(7):403
    CrossRef
  12. 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

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