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Audio Event-Relational Graph Representation Learning for Acoustic Scene Classification

Overview of attention for article published in IEEE Signal Processing Letters, September 2023
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2 X users

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7 Mendeley
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Article details
Title
Audio Event-Relational Graph Representation Learning for Acoustic Scene Classification
Published in
IEEE Signal Processing Letters, September 2023
DOI 10.1109/lsp.2023.3319233
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 2 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Lecturer 2 29%
Other 1 14%
Unknown 2 29%
Readers by discipline
Readers by discipline Count As %
Engineering 3 43%
Agricultural and Biological Sciences 1 14%
Psychology 1 14%
Unknown 2 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 26 October 2023.
All research outputs
#26,228,335
of 32,761,728 outputs
Outputs from IEEE Signal Processing Letters
#2,215
of 2,697 outputs
Outputs of similar age
#269,003
of 379,970 outputs
Outputs of similar age from IEEE Signal Processing Letters
#11
of 15 outputs
Altmetric has tracked 32,761,728 research outputs across all sources so far. This one is in the 17th percentile – i.e., 17% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,697 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
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 379,970 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.