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Long-Time Prediction of Arrhythmic Cardiac Action Potentials Using Recurrent Neural Networks and Reservoir Computing

Overview of attention for article published in Frontiers in Physiology, September 2021
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

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3 X users

Citations

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12 Dimensions

Readers on

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13 Mendeley
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Title
Long-Time Prediction of Arrhythmic Cardiac Action Potentials Using Recurrent Neural Networks and Reservoir Computing
Published in
Frontiers in Physiology, September 2021
DOI 10.3389/fphys.2021.734178
Pubmed ID
Authors

Shahrokh Shahi, Christopher D. Marcotte, Conner J. Herndon, Flavio H. Fenton, Yohannes Shiferaw, Elizabeth M. Cherry

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 31%
Researcher 4 31%
Professor > Associate Professor 1 8%
Unknown 4 31%
Readers by discipline Count As %
Physics and Astronomy 4 31%
Mathematics 1 8%
Agricultural and Biological Sciences 1 8%
Business, Management and Accounting 1 8%
Medicine and Dentistry 1 8%
Other 1 8%
Unknown 4 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 19 October 2021.
All research outputs
#15,367,042
of 24,821,035 outputs
Outputs from Frontiers in Physiology
#5,466
of 15,247 outputs
Outputs of similar age
#213,472
of 426,315 outputs
Outputs of similar age from Frontiers in Physiology
#245
of 696 outputs
Altmetric has tracked 24,821,035 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,247 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has gotten more attention than average, scoring higher than 61% 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 426,315 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 696 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.