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Perceptron Learning and Classification in a Modeled Cortical Pyramidal Cell

Overview of attention for article published in Frontiers in Computational Neuroscience, April 2020
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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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
23 X users

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
58 Mendeley
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Title
Perceptron Learning and Classification in a Modeled Cortical Pyramidal Cell
Published in
Frontiers in Computational Neuroscience, April 2020
DOI 10.3389/fncom.2020.00033
Pubmed ID
Authors

Toviah Moldwin, Idan Segev

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 17%
Student > Master 9 16%
Researcher 7 12%
Student > Bachelor 6 10%
Student > Doctoral Student 3 5%
Other 7 12%
Unknown 16 28%
Readers by discipline Count As %
Neuroscience 17 29%
Computer Science 10 17%
Engineering 8 14%
Business, Management and Accounting 1 2%
Mathematics 1 2%
Other 2 3%
Unknown 19 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 07 September 2020.
All research outputs
#2,275,738
of 25,563,770 outputs
Outputs from Frontiers in Computational Neuroscience
#88
of 1,469 outputs
Outputs of similar age
#59,266
of 406,308 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#4
of 25 outputs
Altmetric has tracked 25,563,770 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,469 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done particularly well, scoring higher than 94% 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 406,308 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 85% of its contemporaries.
We're also able to compare this research output to 25 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.