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A siren identification system using deep learning to aid hearing-impaired people

Overview of attention for article published in Engineering Applications of Artificial Intelligence, September 2022
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2 X users

Readers on

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37 Mendeley
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Article details
Title
A siren identification system using deep learning to aid hearing-impaired people
Published in
Engineering Applications of Artificial Intelligence, September 2022
DOI 10.1016/j.engappai.2022.105000
Authors

Arturo Esquivel Ramirez, Eugenio Donati, Christos Chousidis

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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 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 37 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 37 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Professor 3 8%
Researcher 3 8%
Student > Doctoral Student 2 5%
Unspecified 1 3%
Lecturer 1 3%
Other 3 8%
Unknown 24 65%
Readers by discipline
Readers by discipline Count As %
Computer Science 3 8%
Social Sciences 3 8%
Engineering 3 8%
Unspecified 1 3%
Nursing and Health Professions 1 3%
Other 1 3%
Unknown 25 68%
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 June 2022.
All research outputs
#21,953,668
of 27,790,740 outputs
Outputs from Engineering Applications of Artificial Intelligence
#697
of 920 outputs
Outputs of similar age
#308,047
of 437,934 outputs
Outputs of similar age from Engineering Applications of Artificial Intelligence
#31
of 39 outputs
Altmetric has tracked 27,790,740 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 920 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 21st percentile – i.e., 21% 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 437,934 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 39 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.