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Covariance properties under natural image transformations for the generalised Gaussian derivative model for visual receptive fields

Overview of attention for article published in Frontiers in Computational Neuroscience, June 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Readers on

mendeley
3 Mendeley
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Title
Covariance properties under natural image transformations for the generalised Gaussian derivative model for visual receptive fields
Published in
Frontiers in Computational Neuroscience, June 2023
DOI 10.3389/fncom.2023.1189949
Pubmed ID
Authors

Tony Lindeberg

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 33%
Researcher 1 33%
Unknown 1 33%
Readers by discipline Count As %
Psychology 1 33%
Neuroscience 1 33%
Unknown 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 19 November 2023.
All research outputs
#8,301,842
of 24,837,507 outputs
Outputs from Frontiers in Computational Neuroscience
#445
of 1,429 outputs
Outputs of similar age
#130,512
of 361,752 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#4
of 23 outputs
Altmetric has tracked 24,837,507 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,429 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has gotten more attention than average, scoring higher than 67% 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 361,752 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% 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 has done well, scoring higher than 86% of its contemporaries.