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How to measure propagation velocity in cardiac tissue: a simulation study

Overview of attention for article published in Frontiers in Physiology, July 2014
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Title
How to measure propagation velocity in cardiac tissue: a simulation study
Published in
Frontiers in Physiology, July 2014
DOI 10.3389/fphys.2014.00267
Pubmed ID
Authors

Andre C. Linnenbank, Jacques M. T. de Bakker, Ruben Coronel

Abstract

To estimate conduction velocities from activation times in myocardial tissue, the "average vector" method computes all the local activation directions and velocities from local activation times and estimates the fastest and slowest propagation speed from these local values. The "single vector" method uses areas of apparent uniform elliptical spread of activation and chooses a single vector for the estimated longitudinal velocity and one for the transversal. A simulation study was performed to estimate the influence of grid size, anisotropy, and vector angle bin size. The results indicate that the "average vector" method can best be used if the grid- or bin-size is large, although systematic errors occur. The "single vector" method performs better, but requires human intervention for the definition of fiber direction. The average vector method can be automated.

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

Geographical breakdown

Country Count As %
United States 1 1%
France 1 1%
Unknown 69 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 27%
Researcher 15 21%
Student > Master 4 6%
Professor 4 6%
Student > Doctoral Student 3 4%
Other 12 17%
Unknown 14 20%
Readers by discipline Count As %
Medicine and Dentistry 15 21%
Engineering 13 18%
Biochemistry, Genetics and Molecular Biology 8 11%
Agricultural and Biological Sciences 4 6%
Unspecified 3 4%
Other 11 15%
Unknown 17 24%
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 22 July 2014.
All research outputs
#20,233,066
of 22,758,963 outputs
Outputs from Frontiers in Physiology
#9,330
of 13,560 outputs
Outputs of similar age
#192,434
of 228,546 outputs
Outputs of similar age from Frontiers in Physiology
#76
of 112 outputs
Altmetric has tracked 22,758,963 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 13,560 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 112 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.