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Assessment of shape-based features ability to predict the ascending aortic aneurysm growth

Overview of attention for article published in Frontiers in Physiology, March 2023
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1 X user

Citations

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4 Dimensions

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4 Mendeley
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Title
Assessment of shape-based features ability to predict the ascending aortic aneurysm growth
Published in
Frontiers in Physiology, March 2023
DOI 10.3389/fphys.2023.1125931
Pubmed ID
Authors

Leonardo Geronzi, Pascal Haigron, Antonio Martinez, Kexin Yan, Michel Rochette, Aline Bel-Brunon, Jean Porterie, Siyu Lin, Diana Marcela Marin-Castrillon, Alain Lalande, Olivier Bouchot, Morgan Daniel, Pierre Escrig, Jacques Tomasi, Pier Paolo Valentini, Marco Evangelos Biancolini

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X Demographics

The data shown below were collected from the profile of 1 X user 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 2 50%
Researcher 1 25%
Unknown 1 25%
Readers by discipline Count As %
Engineering 2 50%
Unknown 2 50%
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 06 March 2023.
All research outputs
#20,875,908
of 23,495,502 outputs
Outputs from Frontiers in Physiology
#9,734
of 14,213 outputs
Outputs of similar age
#262,188
of 333,996 outputs
Outputs of similar age from Frontiers in Physiology
#237
of 503 outputs
Altmetric has tracked 23,495,502 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,213 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 333,996 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 503 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.