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A physics-based machine learning technique rapidly reconstructs the wall-shear stress and pressure fields in coronary arteries

Overview of attention for article published in Frontiers in Cardiovascular Medicine, September 2023
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
11 Mendeley
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Title
A physics-based machine learning technique rapidly reconstructs the wall-shear stress and pressure fields in coronary arteries
Published in
Frontiers in Cardiovascular Medicine, September 2023
DOI 10.3389/fcvm.2023.1221541
Pubmed ID
Authors

Benjamin Morgan, Amal Roy Murali, George Preston, Yidnekachew Ayele Sima, Luis Alberto Marcelo Chamorro, Christos Bourantas, Ryo Torii, Anthony Mathur, Andreas Baumbach, Marc C. Jacob, Sergey Karabasov, Rob Krams

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 9%
Student > Bachelor 1 9%
Researcher 1 9%
Unknown 8 73%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 9%
Materials Science 1 9%
Engineering 1 9%
Unknown 8 73%
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 10 November 2023.
All research outputs
#16,859,853
of 24,787,209 outputs
Outputs from Frontiers in Cardiovascular Medicine
#3,241
of 8,685 outputs
Outputs of similar age
#163,455
of 308,026 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#114
of 476 outputs
Altmetric has tracked 24,787,209 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,685 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 59% 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 308,026 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 476 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 72% of its contemporaries.