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Conceptualization in pigeons: The evolution of a paradigm

Overview of attention for article published in Behavioural Processes, September 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
12 X users

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34 Mendeley
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Article details
Title
Conceptualization in pigeons: The evolution of a paradigm
Published in
Behavioural Processes, September 2015
DOI 10.1016/j.beproc.2015.09.010
Pubmed ID
Authors
Abstract

Keller and Schoenfeld (1950) proposed a unique behavioral perspective on conceptualization. They suggested that concepts refer solely to an organism's behavior and to the conditions under which it occurs; as such, conceptual behavior need be neither verbal nor uniquely human. Herrnstein and Loveland (1964) advanced that behavioral perspective by deploying an elegant training procedure to teach visual concepts to pigeons. Keller and Schoenfeld's perspective and Herrnstein and Loveland's methodology have inspired my own research into conceptualization by pigeons. Using a system of arbitrary visual tokens, my colleagues and I have built ever-expanding nonverbal "vocabularies" in pigeons through a variety of different concept learning tasks. Pigeons have reliably categorized as many as 2000 individual photographs from as many as 16 different human object categories, even without the benefit of seeing an item twice. Our formal model of conceptualization effectively embraces 25 years of empirical evidence as well as generates novel predictions for both pigeon and human conceptual behavior. Comparative study should continue to elucidate the commonalities and disparities between human and nonhuman conceptual behavior; it should also explicate the relationship between associative learning, object recognition, conceptualization, and language.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 3%
Unknown 33 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 7 21%
Student > Bachelor 4 12%
Student > Master 4 12%
Researcher 4 12%
Student > Doctoral Student 2 6%
Other 3 9%
Unknown 10 29%
Readers by discipline
Readers by discipline Count As %
Psychology 16 47%
Agricultural and Biological Sciences 3 9%
Environmental Science 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Linguistics 1 3%
Other 1 3%
Unknown 11 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 April 2023.
All research outputs
#2,026,996
of 28,858,989 outputs
Outputs from Behavioural Processes
#182
of 1,807 outputs
Outputs of similar age
#25,036
of 290,386 outputs
Outputs of similar age from Behavioural Processes
#4
of 34 outputs
Altmetric has tracked 28,858,989 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,807 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.6. This one has done well, scoring higher than 89% 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 290,386 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 91% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.