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Dictionary learning based sparse coefficients for audio classification with max and average pooling

Overview of attention for article published in Digital Signal Processing, May 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

patent
11 patents

Readers on

mendeley
46 Mendeley
citeulike
1 CiteULike
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Article details
Title
Dictionary learning based sparse coefficients for audio classification with max and average pooling
Published in
Digital Signal Processing, May 2013
DOI 10.1016/j.dsp.2013.01.004
Authors

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 1 2%
Chile 1 2%
Unknown 44 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 10 22%
Student > Ph. D. Student 9 20%
Student > Doctoral Student 6 13%
Researcher 4 9%
Lecturer 3 7%
Other 5 11%
Unknown 9 20%
Readers by discipline
Readers by discipline Count As %
Computer Science 16 35%
Engineering 14 30%
Mathematics 3 7%
Medicine and Dentistry 1 2%
Neuroscience 1 2%
Other 1 2%
Unknown 10 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 30 May 2023.
All research outputs
#7,207,966
of 33,276,949 outputs
Outputs from Digital Signal Processing
#55
of 558 outputs
Outputs of similar age
#52,075
of 230,132 outputs
Outputs of similar age from Digital Signal Processing
#1
of 5 outputs
Altmetric has tracked 33,276,949 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 558 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 79% 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 230,132 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 73% 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