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PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition

Overview of attention for article published in IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), October 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#13 of 1,182)
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

policy
3 policy sources
twitter
7 X users
patent
12 patents

Readers on

mendeley
639 Mendeley
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Article details
Title
PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition
Published in
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), October 2020
DOI 10.1109/taslp.2020.3030497
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 639 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 %
Unknown 639 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 67 10%
Student > Master 65 10%
Researcher 47 7%
Student > Bachelor 35 5%
Unspecified 21 3%
Other 71 11%
Unknown 333 52%
Readers by discipline
Readers by discipline Count As %
Computer Science 163 26%
Engineering 70 11%
Unspecified 21 3%
Agricultural and Biological Sciences 8 1%
Environmental Science 6 <1%
Other 28 4%
Unknown 343 54%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 28. 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 03 February 2026.
All research outputs
#1,769,208
of 34,601,305 outputs
Outputs from IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP)
#13
of 1,182 outputs
Outputs of similar age
#35,697
of 471,825 outputs
Outputs of similar age from IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP)
#2
of 35 outputs
Altmetric has tracked 34,601,305 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% 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 particularly well, scoring higher than 98% 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 471,825 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.