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Why and when can deep-but not shallow-networks avoid the curse of dimensionality: A review

Overview of attention for article published in International Journal of Automation and Computing, March 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#1 of 207)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
5 news outlets
blogs
3 blogs
twitter
5 tweeters

Citations

dimensions_citation
50 Dimensions

Readers on

mendeley
485 Mendeley
citeulike
1 CiteULike
Title
Why and when can deep-but not shallow-networks avoid the curse of dimensionality: A review
Published in
International Journal of Automation and Computing, March 2017
DOI 10.1007/s11633-017-1054-2
Authors

Tomaso Poggio, Hrushikesh Mhaskar, Lorenzo Rosasco, Brando Miranda, Qianli Liao

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 485 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 1%
Canada 2 <1%
China 1 <1%
Finland 1 <1%
Switzerland 1 <1%
Germany 1 <1%
Singapore 1 <1%
New Zealand 1 <1%
Unknown 471 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 142 29%
Researcher 94 19%
Student > Master 80 16%
Student > Bachelor 43 9%
Unspecified 39 8%
Other 87 18%
Readers by discipline Count As %
Computer Science 198 41%
Engineering 77 16%
Unspecified 60 12%
Mathematics 36 7%
Physics and Astronomy 30 6%
Other 84 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 61. 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 12 September 2018.
All research outputs
#281,241
of 13,505,974 outputs
Outputs from International Journal of Automation and Computing
#1
of 207 outputs
Outputs of similar age
#11,572
of 259,035 outputs
Outputs of similar age from International Journal of Automation and Computing
#1
of 5 outputs
Altmetric has tracked 13,505,974 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 207 research outputs from this source. They receive a mean Attention Score of 1.1. This one has done particularly well, scoring higher than 99% 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 259,035 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 95% of its contemporaries.
We're also able to compare this research output to 5 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