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Unsupervised Feature Learning Based on Deep Models for Environmental Audio Tagging

Overview of attention for article published in IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), May 2017
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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 (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

twitter
10 X users
patent
1 patent

Readers on

mendeley
139 Mendeley
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Article details
Title
Unsupervised Feature Learning Based on Deep Models for Environmental Audio Tagging
Published in
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), May 2017
DOI 10.1109/taslp.2017.2690563
Authors

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Timeline Attention over time Attention Score history
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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 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 139 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 26 19%
Student > Ph. D. Student 25 18%
Researcher 12 9%
Student > Bachelor 11 8%
Other 7 5%
Other 18 13%
Unknown 40 29%
Readers by discipline
Readers by discipline Count As %
Computer Science 50 36%
Engineering 32 23%
Psychology 2 1%
Medicine and Dentistry 2 1%
Neuroscience 2 1%
Other 6 4%
Unknown 45 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 23 April 2026.
All research outputs
#5,965,768
of 34,377,743 outputs
Outputs from IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP)
#212
of 1,178 outputs
Outputs of similar age
#73,516
of 360,552 outputs
Outputs of similar age from IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP)
#5
of 24 outputs
Altmetric has tracked 34,377,743 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,178 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 81% 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 360,552 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 79% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.