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Adaptive Surround Modulation of MT Neurons: A Computational Model

Overview of attention for article published in Frontiers in Neural Circuits, October 2020
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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 (79th percentile)

Mentioned by

news
1 news outlet
twitter
1 X user

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
6 Mendeley
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Title
Adaptive Surround Modulation of MT Neurons: A Computational Model
Published in
Frontiers in Neural Circuits, October 2020
DOI 10.3389/fncir.2020.529345
Pubmed ID
Authors

Parvin Zarei Eskikand, Tatiana Kameneva, Anthony N. Burkitt, David B. Grayden, Michael R. Ibbotson

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 33%
Unspecified 1 17%
Unknown 3 50%
Readers by discipline Count As %
Unspecified 1 17%
Computer Science 1 17%
Social Sciences 1 17%
Unknown 3 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 08 November 2020.
All research outputs
#3,276,953
of 23,253,955 outputs
Outputs from Frontiers in Neural Circuits
#211
of 1,229 outputs
Outputs of similar age
#85,478
of 420,421 outputs
Outputs of similar age from Frontiers in Neural Circuits
#18
of 23 outputs
Altmetric has tracked 23,253,955 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,229 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. 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 420,421 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 79% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.