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Evaluating the COVID-19 Identification ResNet (CIdeR) on the INTERSPEECH COVID-19 From Audio Challenges

Overview of attention for article published in Frontiers in Digital Health, July 2022
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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3 X users

Citations

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15 Dimensions

Readers on

mendeley
27 Mendeley
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Title
Evaluating the COVID-19 Identification ResNet (CIdeR) on the INTERSPEECH COVID-19 From Audio Challenges
Published in
Frontiers in Digital Health, July 2022
DOI 10.3389/fdgth.2022.789980
Pubmed ID
Authors

Alican Akman, Harry Coppock, Alexander Gaskell, Panagiotis Tzirakis, Lyn Jones, Björn W. Schuller

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 11%
Lecturer 2 7%
Lecturer > Senior Lecturer 1 4%
Other 1 4%
Student > Doctoral Student 1 4%
Other 3 11%
Unknown 16 59%
Readers by discipline Count As %
Computer Science 5 19%
Unspecified 1 4%
Nursing and Health Professions 1 4%
Medicine and Dentistry 1 4%
Chemistry 1 4%
Other 1 4%
Unknown 17 63%
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 07 July 2022.
All research outputs
#15,333,503
of 22,805,349 outputs
Outputs from Frontiers in Digital Health
#408
of 536 outputs
Outputs of similar age
#238,895
of 434,390 outputs
Outputs of similar age from Frontiers in Digital Health
#68
of 78 outputs
Altmetric has tracked 22,805,349 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 536 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. This one is in the 16th percentile – i.e., 16% 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 434,390 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.