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Coronary artery properties in atherosclerosis: A deep learning predictive model

Overview of attention for article published in Frontiers in Physiology, April 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
9 Mendeley
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Title
Coronary artery properties in atherosclerosis: A deep learning predictive model
Published in
Frontiers in Physiology, April 2023
DOI 10.3389/fphys.2023.1162436
Pubmed ID
Authors

Ricardo Caballero, Miguel Ángel Martínez, Estefanía Peña

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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.
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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 22%
Researcher 1 11%
Student > Doctoral Student 1 11%
Student > Master 1 11%
Unknown 4 44%
Readers by discipline Count As %
Computer Science 2 22%
Nursing and Health Professions 1 11%
Medicine and Dentistry 1 11%
Engineering 1 11%
Unknown 4 44%
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 29 April 2023.
All research outputs
#13,832,501
of 23,578,918 outputs
Outputs from Frontiers in Physiology
#4,753
of 14,290 outputs
Outputs of similar age
#114,257
of 284,638 outputs
Outputs of similar age from Frontiers in Physiology
#68
of 393 outputs
Altmetric has tracked 23,578,918 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,290 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 65% 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 284,638 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 59% of its contemporaries.
We're also able to compare this research output to 393 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.