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Discrimination of human faces by archerfish (Toxotes chatareus)

Overview of attention for article published in Scientific Reports, June 2016
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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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
158 news outlets
blogs
20 blogs
twitter
171 X users
facebook
18 Facebook pages
wikipedia
11 Wikipedia pages
googleplus
5 Google+ users
reddit
3 Redditors
video
3 YouTube creators

Citations

dimensions_citation
63 Dimensions

Readers on

mendeley
138 Mendeley
citeulike
1 CiteULike
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Title
Discrimination of human faces by archerfish (Toxotes chatareus)
Published in
Scientific Reports, June 2016
DOI 10.1038/srep27523
Pubmed ID
Authors

Cait Newport, Guy Wallis, Yarema Reshitnyk, Ulrike E. Siebeck

Abstract

Two rival theories of how humans recognize faces exist: (i) recognition is innate, relying on specialized neocortical circuitry, and (ii) recognition is a learned expertise, relying on general object recognition pathways. Here, we explore whether animals without a neocortex, can learn to recognize human faces. Human facial recognition has previously been demonstrated for birds, however they are now known to possess neocortex-like structures. Also, with much of the work done in domesticated pigeons, one cannot rule out the possibility that they have developed adaptations for human face recognition. Fish do not appear to possess neocortex-like cells, and given their lack of direct exposure to humans, are unlikely to have evolved any specialized capabilities for human facial recognition. Using a two-alternative forced-choice procedure, we show that archerfish (Toxotes chatareus) can learn to discriminate a large number of human face images (Experiment 1, 44 faces), even after controlling for colour, head-shape and brightness (Experiment 2, 18 faces). This study not only demonstrates that archerfish have impressive pattern discrimination abilities, but also provides evidence that a vertebrate lacking a neocortex and without an evolutionary prerogative to discriminate human faces, can nonetheless do so to a high degree of accuracy.

X Demographics

X Demographics

The data shown below were collected from the profiles of 171 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 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
United States 1 <1%
South Africa 1 <1%
Canada 1 <1%
Unknown 133 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 26 19%
Researcher 25 18%
Student > Ph. D. Student 24 17%
Student > Master 16 12%
Student > Doctoral Student 6 4%
Other 21 15%
Unknown 20 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 28%
Psychology 26 19%
Biochemistry, Genetics and Molecular Biology 10 7%
Neuroscience 10 7%
Environmental Science 8 6%
Other 20 14%
Unknown 26 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1516. 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 06 October 2023.
All research outputs
#7,773
of 25,634,695 outputs
Outputs from Scientific Reports
#120
of 142,169 outputs
Outputs of similar age
#85
of 356,476 outputs
Outputs of similar age from Scientific Reports
#2
of 3,595 outputs
Altmetric has tracked 25,634,695 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 142,169 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.8. This one has done particularly well, scoring higher than 99% 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 356,476 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 99% of its contemporaries.
We're also able to compare this research output to 3,595 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 99% of its contemporaries.