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Automatic Environmental Sound Recognition: Performance Versus Computational Cost

Overview of attention for article published in IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), July 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
7 X users
patent
1 patent

Readers on

mendeley
137 Mendeley
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Article details
Title
Automatic Environmental Sound Recognition: Performance Versus Computational Cost
Published in
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), July 2016
DOI 10.1109/taslp.2016.2592698
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 <1%
Poland 1 <1%
Italy 1 <1%
Unknown 134 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 33 24%
Student > Ph. D. Student 28 20%
Researcher 12 9%
Student > Doctoral Student 8 6%
Student > Bachelor 6 4%
Other 18 13%
Unknown 32 23%
Readers by discipline
Readers by discipline Count As %
Computer Science 46 34%
Engineering 35 26%
Physics and Astronomy 3 2%
Business, Management and Accounting 2 1%
Agricultural and Biological Sciences 2 1%
Other 11 8%
Unknown 38 28%
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 30 October 2017.
All research outputs
#7,239,031
of 34,539,236 outputs
Outputs from IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP)
#251
of 1,182 outputs
Outputs of similar age
#82,143
of 338,008 outputs
Outputs of similar age from IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP)
#12
of 36 outputs
Altmetric has tracked 34,539,236 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,182 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 78% 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 338,008 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 75% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.