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Robustness of convolutional neural networks to physiological electrocardiogram noise

Overview of attention for article published in Philosophical Transactions of the Royal Society A: Mathematical, Physical & Engineering Sciences, October 2021
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31 Mendeley
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Article details
Title
Robustness of convolutional neural networks to physiological electrocardiogram noise
Published in
Philosophical Transactions of the Royal Society A: Mathematical, Physical & Engineering Sciences, October 2021
DOI 10.1098/rsta.2020.0262
Pubmed ID
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 profile of 1 X user 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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 4 13%
Professor 3 10%
Researcher 3 10%
Student > Ph. D. Student 2 6%
Other 1 3%
Other 1 3%
Unknown 17 55%
Readers by discipline
Readers by discipline Count As %
Computer Science 4 13%
Engineering 4 13%
Chemical Engineering 1 3%
Mathematics 1 3%
Business, Management and Accounting 1 3%
Other 3 10%
Unknown 17 55%
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 05 August 2021.
All research outputs
#31,202,305
of 34,383,983 outputs
Outputs from Philosophical Transactions of the Royal Society A: Mathematical, Physical & Engineering Sciences
#3,303
of 3,607 outputs
Outputs of similar age
#408,925
of 471,720 outputs
Outputs of similar age from Philosophical Transactions of the Royal Society A: Mathematical, Physical & Engineering Sciences
#60
of 65 outputs
Altmetric has tracked 34,383,983 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,607 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.8. This one is in the 1st percentile – i.e., 1% 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 471,720 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.