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Convolutional neural network (CNN)-enabled electrocardiogram (ECG) analysis: a comparison between standard twelve-lead and single-lead setups

Overview of attention for article published in Frontiers in Cardiovascular Medicine, February 2024
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

twitter
6 X users

Readers on

mendeley
5 Mendeley
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Title
Convolutional neural network (CNN)-enabled electrocardiogram (ECG) analysis: a comparison between standard twelve-lead and single-lead setups
Published in
Frontiers in Cardiovascular Medicine, February 2024
DOI 10.3389/fcvm.2024.1327179
Pubmed ID
Authors

Andrea Saglietto, Daniele Baccega, Roberto Esposito, Matteo Anselmino, Veronica Dusi, Attilio Fiandrotti, Gaetano Maria De Ferrari

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 40%
Researcher 1 20%
Student > Master 1 20%
Unknown 1 20%
Readers by discipline Count As %
Engineering 2 40%
Nursing and Health Professions 1 20%
Unknown 2 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 20 March 2024.
All research outputs
#8,245,747
of 25,525,181 outputs
Outputs from Frontiers in Cardiovascular Medicine
#1,499
of 9,332 outputs
Outputs of similar age
#88,843
of 288,031 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#27
of 382 outputs
Altmetric has tracked 25,525,181 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 9,332 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 83% 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 288,031 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 382 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 93% of its contemporaries.