Quanti.us is a platform that allows large-scale manual image annotation by a distributed workforce through Amazon’s Mechanical Turk crowdsourcing marketplace.
This is a preview of subscription content, access via your institution
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$29.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 print issues and online access
$259.00 per year
only $21.58 per issue
Buy this article
- Purchase on Springer Link
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
References
Hughes, A. J. et al. Nat. Methods https://doi.org/10.1038/s41592-018-0069-0 (2018).
Cardamone, C. et al. Mon. Not. R. Astron. Soc. 399, 1191–1205 (2009).
Lintott, C. J. et al. Mon. Not. R. Astron. Soc. 399, 129–140 (2009).
Bruggemann, J., Lander, G. C. & Su, A. I. J. Struct. Biol. 203, 37–45 (2018).
Author information
Authors and Affiliations
Corresponding authors
Ethics declarations
Competing interests
The authors declare no competing interests.
Rights and permissions
About this article
Cite this article
Jones, M.L., Spiers, H. The crowd storms the ivory tower. Nat Methods 15, 579–580 (2018). https://doi.org/10.1038/s41592-018-0077-0
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41592-018-0077-0