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Computational models of auditory sensation important for sound quality on basis of either gammatone or gammachirp auditory filterbank

Overview of attention for article published in Applied Acoustics, March 2024
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
8 X users

Citations

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1 Dimensions

Readers on

mendeley
1 Mendeley
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Title
Computational models of auditory sensation important for sound quality on basis of either gammatone or gammachirp auditory filterbank
Published in
Applied Acoustics, March 2024
DOI 10.1016/j.apacoust.2024.109914
Authors

Takuto Isoyama, Shunsuke Kidani, Masashi Unoki

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Computer Science 1 100%
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 16 February 2024.
All research outputs
#7,081,928
of 26,467,269 outputs
Outputs from Applied Acoustics
#204
of 1,271 outputs
Outputs of similar age
#97,401
of 356,993 outputs
Outputs of similar age from Applied Acoustics
#2
of 9 outputs
Altmetric has tracked 26,467,269 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,271 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 83% 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 356,993 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 72% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.