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Multiscale and Multiphysics Modeling of Anisotropic Cardiac RFCA: Experimental-Based Model Calibration via Multi-Point Temperature Measurements

Overview of attention for article published in Frontiers in Physiology, April 2022
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1 X user

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8 Mendeley
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Title
Multiscale and Multiphysics Modeling of Anisotropic Cardiac RFCA: Experimental-Based Model Calibration via Multi-Point Temperature Measurements
Published in
Frontiers in Physiology, April 2022
DOI 10.3389/fphys.2022.845896
Pubmed ID
Authors

Leonardo Molinari, Martina Zaltieri, Carlo Massaroni, Simonetta Filippi, Alessio Gizzi, Emiliano Schena

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 25%
Student > Postgraduate 1 13%
Student > Doctoral Student 1 13%
Unknown 4 50%
Readers by discipline Count As %
Environmental Science 1 13%
Mathematics 1 13%
Engineering 1 13%
Unknown 5 63%
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 19 April 2022.
All research outputs
#20,938,115
of 23,570,677 outputs
Outputs from Frontiers in Physiology
#9,795
of 14,279 outputs
Outputs of similar age
#359,790
of 442,804 outputs
Outputs of similar age from Frontiers in Physiology
#443
of 728 outputs
Altmetric has tracked 23,570,677 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 14,279 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 442,804 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 728 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.