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Editorial: Computational modelling of cardiovascular hemodynamics and machine learning

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

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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Title
Editorial: Computational modelling of cardiovascular hemodynamics and machine learning
Published in
Frontiers in Cardiovascular Medicine, February 2024
DOI 10.3389/fcvm.2024.1355843
Pubmed ID
Authors

Christos Bourantas, Ryo Torii, Sergey Karabasov, Rob Krams

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Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 04 April 2024.
All research outputs
#14,701,715
of 25,637,545 outputs
Outputs from Frontiers in Cardiovascular Medicine
#1,795
of 9,393 outputs
Outputs of similar age
#109,102
of 304,876 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#38
of 419 outputs
Altmetric has tracked 25,637,545 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,393 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 80% 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 304,876 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 64% of its contemporaries.
We're also able to compare this research output to 419 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 90% of its contemporaries.