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Feature learning and deep architectures: new directions for music informatics

Overview of attention for article published in Journal of Intelligent Information Systems, July 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#6 of 198)
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

policy
1 policy source
twitter
10 X users
patent
1 patent

Citations

dimensions_citation
81 Dimensions

Readers on

mendeley
302 Mendeley
citeulike
4 CiteULike
Title
Feature learning and deep architectures: new directions for music informatics
Published in
Journal of Intelligent Information Systems, July 2013
DOI 10.1007/s10844-013-0248-5
Authors

Eric J. Humphrey, Juan P. Bello, Yann LeCun

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

Geographical breakdown

Country Count As %
United States 5 2%
United Kingdom 5 2%
Taiwan 2 <1%
France 2 <1%
Australia 2 <1%
Italy 2 <1%
Norway 1 <1%
Turkey 1 <1%
Netherlands 1 <1%
Other 10 3%
Unknown 271 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 88 29%
Student > Master 70 23%
Researcher 44 15%
Student > Bachelor 21 7%
Student > Doctoral Student 19 6%
Other 40 13%
Unknown 20 7%
Readers by discipline Count As %
Computer Science 182 60%
Engineering 52 17%
Arts and Humanities 12 4%
Mathematics 9 3%
Agricultural and Biological Sciences 6 2%
Other 16 5%
Unknown 25 8%
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 22 November 2022.
All research outputs
#3,124,693
of 24,849,927 outputs
Outputs from Journal of Intelligent Information Systems
#6
of 198 outputs
Outputs of similar age
#25,551
of 199,967 outputs
Outputs of similar age from Journal of Intelligent Information Systems
#1
of 7 outputs
Altmetric has tracked 24,849,927 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 198 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 97% 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 199,967 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 87% of its contemporaries.
We're also able to compare this research output to 7 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