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New Methods for the Analysis of Heartbeat Behavior in Risk Stratification

Overview of attention for article published in Frontiers in Physiology, January 2011
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Title
New Methods for the Analysis of Heartbeat Behavior in Risk Stratification
Published in
Frontiers in Physiology, January 2011
DOI 10.3389/fphys.2011.00088
Pubmed ID
Authors

Leon Glass, Claudia Lerma, Alvin Shrier

Abstract

Developing better methods for risk stratification for tachyarrhythmic sudden cardiac remains a major challenge for physicians and scientists. Since the transition from sinus rhythm to ventricular tachycardia/fibrillation happens by different mechanisms in different people, it is unrealistic to think that a single measure will be adequate to provide a good index for risk stratification. We analyze the dynamical properties of ventricular premature complexes over 24 h in an effort to understand the underlying mechanisms of ventricular arrhythmias and to better understand the arrhythmias that occur in individual patients. Two dimensional density plots, called heartprints, correlate characteristic features of the dynamics of premature ventricular complexes and the sinus rate. Heartprints show distinctive characteristics in individual patients. Based on a better understanding of the natures of transitions from sinus rhythm to sudden cardiac and the mechanisms of arrhythmia prior to cardiac arrest, it should be possible to develop better methods for risk stratification.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 3%
United Kingdom 1 3%
India 1 3%
Switzerland 1 3%
Unknown 26 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 37%
Professor 4 13%
Professor > Associate Professor 4 13%
Student > Ph. D. Student 3 10%
Student > Master 2 7%
Other 4 13%
Unknown 2 7%
Readers by discipline Count As %
Medicine and Dentistry 9 30%
Physics and Astronomy 4 13%
Engineering 3 10%
Agricultural and Biological Sciences 2 7%
Neuroscience 2 7%
Other 4 13%
Unknown 6 20%
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 29 November 2011.
All research outputs
#20,165,369
of 22,675,759 outputs
Outputs from Frontiers in Physiology
#9,270
of 13,467 outputs
Outputs of similar age
#169,848
of 180,328 outputs
Outputs of similar age from Frontiers in Physiology
#34
of 47 outputs
Altmetric has tracked 22,675,759 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 13,467 research outputs from this source. They typically receive a little 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.
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 180,328 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 47 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.