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Pigeons learn virtual patterned-string problems in a computerized touch screen environment

Overview of attention for article published in Animal Cognition, February 2013
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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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

news
1 news outlet
blogs
3 blogs
twitter
2 X users

Citations

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15 Dimensions

Readers on

mendeley
62 Mendeley
Title
Pigeons learn virtual patterned-string problems in a computerized touch screen environment
Published in
Animal Cognition, February 2013
DOI 10.1007/s10071-013-0608-0
Pubmed ID
Authors

Edward A. Wasserman, Yasuo Nagasaka, Leyre Castro, Stephen J. Brzykcy

Abstract

For many decades, developmental and comparative psychologists have used a variety of string tasks to assess the perceptual and cognitive capabilities of human children of different ages and different species of nonhuman animals. The most important and widely used of these problems are patterned-string tasks, in which the organism is shown two or more strings, only one of which is connected to a reward. The organism must determine which string is attached to the reward and pull it. We report a new way to implement patterned-string tasks via a computerized touch screen apparatus. Pigeons successfully learned such virtual patterned-string tasks and exhibited the same general performance profile as animals given conventional patterned-string tasks. In addition, variations in the length, separation, and alignment of the strings reliably affected the pigeons' virtual string-pulling behavior. These results not only testify to the power and versatility of our computerized string task, but they also demonstrate that pigeons can concurrently contend with a broad range of demanding patterned-string problems, thereby eliminating many alternative interpretations of their behavior. The virtual patterned-string task may thus permit expanded exploration of other species and variables which would be unlikely to be undertaken either because of inadequacies of conventional methodology or sensorimotor limitations of the studied organisms.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Hungary 1 2%
Canada 1 2%
Austria 1 2%
Unknown 58 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 18%
Professor 10 16%
Student > Master 9 15%
Student > Bachelor 8 13%
Student > Ph. D. Student 8 13%
Other 12 19%
Unknown 4 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 39%
Psychology 22 35%
Engineering 3 5%
Neuroscience 3 5%
Veterinary Science and Veterinary Medicine 1 2%
Other 3 5%
Unknown 6 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 05 June 2013.
All research outputs
#1,057,214
of 22,711,242 outputs
Outputs from Animal Cognition
#255
of 1,443 outputs
Outputs of similar age
#10,334
of 285,515 outputs
Outputs of similar age from Animal Cognition
#3
of 19 outputs
Altmetric has tracked 22,711,242 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,443 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 33.5. This one has done well, scoring higher than 82% 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 285,515 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 96% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.