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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
  • Among the highest-scoring outputs from this source (#13 of 44,067)
  • 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
156 news outlets
blogs
20 blogs
twitter
188 tweeters
facebook
18 Facebook pages
wikipedia
3 Wikipedia pages
googleplus
5 Google+ users
reddit
1 Redditor

Readers on

mendeley
62 Mendeley
citeulike
1 CiteULike
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, Newport, Cait, Wallis, Guy, Reshitnyk, Yarema, Siebeck, Ulrike E

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.

Twitter Demographics

The data shown below were collected from the profiles of 188 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 3%
South Africa 1 2%
United States 1 2%
Canada 1 2%
Unknown 57 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 26%
Student > Ph. D. Student 14 23%
Student > Master 10 16%
Student > Bachelor 6 10%
Student > Postgraduate 3 5%
Other 13 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 29%
Psychology 18 29%
Unspecified 6 10%
Neuroscience 5 8%
Environmental Science 3 5%
Other 12 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 1523. 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 20 December 2017.
All research outputs
#811
of 9,069,935 outputs
Outputs from Scientific Reports
#13
of 44,067 outputs
Outputs of similar age
#57
of 275,622 outputs
Outputs of similar age from Scientific Reports
#1
of 3,200 outputs
Altmetric has tracked 9,069,935 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 44,067 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. 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 275,622 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 3,200 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.