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Improved color constancy in honey bees enabled by parallel visual projections from dorsal ocelli

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, July 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
21 news outlets
blogs
4 blogs
twitter
22 X users
facebook
3 Facebook pages

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
55 Mendeley
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Title
Improved color constancy in honey bees enabled by parallel visual projections from dorsal ocelli
Published in
Proceedings of the National Academy of Sciences of the United States of America, July 2017
DOI 10.1073/pnas.1703454114
Pubmed ID
Authors

Jair E. Garcia, Yu-Shan Hung, Andrew D. Greentree, Marcello G. P. Rosa, John A. Endler, Adrian G. Dyer

Abstract

How can a pollinator, like the honey bee, perceive the same colors on visited flowers, despite continuous and rapid changes in ambient illumination and background color? A hundred years ago, von Kries proposed an elegant solution to this problem, color constancy, which is currently incorporated in many imaging and technological applications. However, empirical evidence on how this method can operate on animal brains remains tenuous. Our mathematical modeling proposes that the observed spectral tuning of simple ocellar photoreceptors in the honey bee allows for the necessary input for an optimal color constancy solution to most natural light environments. The model is fully supported by our detailed description of a neural pathway allowing for the integration of signals originating from the ocellar photoreceptors to the information processing regions in the bee brain. These findings reveal a neural implementation to the classic color constancy problem that can be easily translated into artificial color imaging systems.

X Demographics

X Demographics

The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 22%
Researcher 12 22%
Student > Master 8 15%
Professor 4 7%
Student > Doctoral Student 4 7%
Other 10 18%
Unknown 5 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 38%
Environmental Science 6 11%
Neuroscience 4 7%
Computer Science 4 7%
Biochemistry, Genetics and Molecular Biology 3 5%
Other 10 18%
Unknown 7 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 200. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 August 2017.
All research outputs
#201,344
of 25,782,917 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#3,812
of 103,734 outputs
Outputs of similar age
#4,214
of 327,171 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#78
of 965 outputs
Altmetric has tracked 25,782,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 103,734 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.7. This one has done particularly well, scoring higher than 96% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 327,171 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 965 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.