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Pattern Recognition. ICPR International Workshops and Challenges

Overview of attention for book
Pattern Recognition. ICPR International Workshops and Challenges
Springer International Publishing
Attention for Chapter: Parametrization of Neural Networks with Connected Abelian Lie Groups as Data Manifold
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
10 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
3 Mendeley
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Chapter title
Parametrization of Neural Networks with Connected Abelian Lie Groups as Data Manifold
Book title
Pattern Recognition. ICPR International Workshops and Challenges
Published in
arXiv, February 2021
DOI 10.1007/978-3-030-68821-9_2
Book ISBNs
978-3-03-068820-2, 978-3-03-068821-9
Authors

Luciano Melodia, Richard Lenz, Melodia, Luciano, Lenz, Richard

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 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 %
Student > Bachelor 1 33%
Student > Postgraduate 1 33%
Unknown 1 33%
Readers by discipline Count As %
Mathematics 1 33%
Engineering 1 33%
Unknown 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 10 March 2022.
All research outputs
#7,148,514
of 24,980,180 outputs
Outputs from arXiv
#143,994
of 1,018,032 outputs
Outputs of similar age
#149,399
of 426,571 outputs
Outputs of similar age from arXiv
#4,376
of 30,910 outputs
Altmetric has tracked 24,980,180 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,018,032 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 85% 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 426,571 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 64% of its contemporaries.
We're also able to compare this research output to 30,910 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.