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Statistical Field Theory for Neural Networks

Overview of attention for book
Overall attention for this book and its chapters
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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 (80th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

twitter
19 X users

Readers on

mendeley
99 Mendeley
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Title
Statistical Field Theory for Neural Networks
Published by
arXiv, August 2020
DOI 10.1007/978-3-030-46444-8
ISBNs
978-3-03-046443-1, 978-3-03-046444-8
Authors

Moritz Helias, David Dahmen, Helias, Moritz, Dahmen, David

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 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 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 99 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 28%
Researcher 18 18%
Student > Bachelor 12 12%
Student > Master 9 9%
Professor > Associate Professor 5 5%
Other 9 9%
Unknown 18 18%
Readers by discipline Count As %
Physics and Astronomy 41 41%
Neuroscience 16 16%
Agricultural and Biological Sciences 5 5%
Computer Science 4 4%
Mathematics 4 4%
Other 8 8%
Unknown 21 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 16 March 2024.
All research outputs
#3,262,442
of 25,800,372 outputs
Outputs from arXiv
#53,407
of 945,921 outputs
Outputs of similar age
#81,494
of 426,355 outputs
Outputs of similar age from arXiv
#1,456
of 24,255 outputs
Altmetric has tracked 25,800,372 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 945,921 research outputs from this source. They receive a mean Attention Score of 4.3. 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 426,355 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 80% of its contemporaries.
We're also able to compare this research output to 24,255 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.