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Statistical neurodynamics of deep networks: geometry of signal spaces

Overview of attention for article published in Nonlinear Theory and Its Applications, IEICE, January 2019
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About this Attention Score

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

Mentioned by

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4 X users

Citations

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4 Dimensions

Readers on

mendeley
51 Mendeley
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Title
Statistical neurodynamics of deep networks: geometry of signal spaces
Published in
Nonlinear Theory and Its Applications, IEICE, January 2019
DOI 10.1587/nolta.10.322
Authors

Shun-ichi Amari, Ryo Karakida, Masafumi Oizumi

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 20%
Researcher 9 18%
Student > Ph. D. Student 7 14%
Other 6 12%
Student > Doctoral Student 3 6%
Other 5 10%
Unknown 11 22%
Readers by discipline Count As %
Computer Science 14 27%
Engineering 9 18%
Physics and Astronomy 7 14%
Neuroscience 5 10%
Mathematics 3 6%
Other 3 6%
Unknown 10 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 October 2020.
All research outputs
#8,222,113
of 25,462,162 outputs
Outputs from Nonlinear Theory and Its Applications, IEICE
#9
of 61 outputs
Outputs of similar age
#158,646
of 447,104 outputs
Outputs of similar age from Nonlinear Theory and Its Applications, IEICE
#1
of 4 outputs
Altmetric has tracked 25,462,162 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 61 research outputs from this source. They receive a mean Attention Score of 4.6. 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 447,104 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 4 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