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A neural model for category learning

Overview of attention for article published in Biological Cybernetics, August 1982
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)

Mentioned by

policy
1 policy source
patent
12 patents

Citations

dimensions_citation
335 Dimensions

Readers on

mendeley
70 Mendeley
Title
A neural model for category learning
Published in
Biological Cybernetics, August 1982
DOI 10.1007/bf00387211
Pubmed ID
Authors

Douglas L. Reilly, Leon N. Cooper, Charles Elbaum

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 6%
United States 2 3%
Italy 1 1%
China 1 1%
France 1 1%
Unknown 61 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 27%
Researcher 16 23%
Student > Master 7 10%
Professor > Associate Professor 6 9%
Student > Doctoral Student 4 6%
Other 7 10%
Unknown 11 16%
Readers by discipline Count As %
Computer Science 30 43%
Agricultural and Biological Sciences 8 11%
Engineering 8 11%
Psychology 4 6%
Neuroscience 2 3%
Other 4 6%
Unknown 14 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 03 January 2023.
All research outputs
#5,255,836
of 24,733,536 outputs
Outputs from Biological Cybernetics
#106
of 695 outputs
Outputs of similar age
#821
of 7,892 outputs
Outputs of similar age from Biological Cybernetics
#1
of 3 outputs
Altmetric has tracked 24,733,536 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 695 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 77% 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 7,892 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them