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Approximation and estimation bounds for artificial neural networks

Overview of attention for article published in Machine Learning, January 1994
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
1 X user
patent
4 patents

Citations

dimensions_citation
457 Dimensions

Readers on

mendeley
109 Mendeley
citeulike
1 CiteULike
Title
Approximation and estimation bounds for artificial neural networks
Published in
Machine Learning, January 1994
DOI 10.1007/bf00993164
Authors

Andrew R. Barron

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 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 5%
Korea, Republic of 1 <1%
Italy 1 <1%
Switzerland 1 <1%
Czechia 1 <1%
India 1 <1%
China 1 <1%
Slovakia 1 <1%
Unknown 97 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 29%
Researcher 15 14%
Student > Master 12 11%
Student > Doctoral Student 10 9%
Professor 8 7%
Other 18 17%
Unknown 14 13%
Readers by discipline Count As %
Computer Science 43 39%
Engineering 16 15%
Mathematics 12 11%
Physics and Astronomy 5 5%
Economics, Econometrics and Finance 3 3%
Other 9 8%
Unknown 21 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 September 2021.
All research outputs
#4,579,454
of 23,054,359 outputs
Outputs from Machine Learning
#123
of 975 outputs
Outputs of similar age
#5,388
of 71,507 outputs
Outputs of similar age from Machine Learning
#1
of 6 outputs
Altmetric has tracked 23,054,359 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 975 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 86% 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 71,507 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 6 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