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Quantification of paravalvular leaks associated with TAVI implants using 4D MRI in an aortic root phantom made possible by the use of 3D printing

Overview of attention for article published in Frontiers in Cardiovascular Medicine, January 2023
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Title
Quantification of paravalvular leaks associated with TAVI implants using 4D MRI in an aortic root phantom made possible by the use of 3D printing
Published in
Frontiers in Cardiovascular Medicine, January 2023
DOI 10.3389/fcvm.2023.1083300
Pubmed ID
Authors

Philipp Aigner, Eleonora Sella Bart, Sebastiano Panfili, Tito Körner, Markus Mach, Martin Andreas, Markus Königshofer, Simone Saitta, Alberto Redaelli, Albrecht Schmid, Francesco Moscato

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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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 8%
Researcher 1 8%
Student > Doctoral Student 1 8%
Unknown 9 75%
Readers by discipline Count As %
Decision Sciences 1 8%
Social Sciences 1 8%
Medicine and Dentistry 1 8%
Engineering 1 8%
Unknown 8 67%
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 20 January 2023.
All research outputs
#20,941,392
of 23,567,572 outputs
Outputs from Frontiers in Cardiovascular Medicine
#4,590
of 7,446 outputs
Outputs of similar age
#340,467
of 429,957 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#362
of 676 outputs
Altmetric has tracked 23,567,572 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 7,446 research outputs from this source. They receive a mean Attention Score of 4.2. 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 429,957 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 676 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.