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Reproducibility of cine displacement encoding with stimulated echoes (DENSE) cardiovascular magnetic resonance for measuring left ventricular strains, torsion, and synchrony in mice

Overview of attention for article published in Critical Reviews in Diagnostic Imaging, August 2013
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Title
Reproducibility of cine displacement encoding with stimulated echoes (DENSE) cardiovascular magnetic resonance for measuring left ventricular strains, torsion, and synchrony in mice
Published in
Critical Reviews in Diagnostic Imaging, August 2013
DOI 10.1186/1532-429x-15-71
Pubmed ID
Authors

Christopher M Haggerty, Sage P Kramer, Cassi M Binkley, David K Powell, Andrea C Mattingly, Richard Charnigo, Frederick H Epstein, Brandon K Fornwalt

Abstract

Advanced measures of cardiac function are increasingly important to clinical assessment due to their superior diagnostic and predictive capabilities. Cine DENSE cardiovascular magnetic resonance (CMR) is ideal for quantifying advanced measures of cardiac function based on its high spatial resolution and streamlined post-processing. While many studies have utilized cine DENSE in both humans and small-animal models, the inter-test and inter-observer reproducibility for quantification of advanced cardiac function in mice has not been evaluated. This represents a critical knowledge gap for both understanding the capabilities of this technique and for the design of future experiments. We hypothesized that cine DENSE CMR would show excellent inter-test and inter-observer reproducibility for advanced measures of left ventricular (LV) function in mice.

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

Geographical breakdown

Country Count As %
United States 5 14%
Norway 1 3%
Romania 1 3%
Unknown 29 81%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 25%
Student > Ph. D. Student 7 19%
Student > Doctoral Student 5 14%
Student > Master 4 11%
Professor > Associate Professor 2 6%
Other 4 11%
Unknown 5 14%
Readers by discipline Count As %
Medicine and Dentistry 15 42%
Engineering 5 14%
Computer Science 2 6%
Neuroscience 2 6%
Social Sciences 2 6%
Other 3 8%
Unknown 7 19%
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 August 2013.
All research outputs
#23,084,818
of 25,728,855 outputs
Outputs from Critical Reviews in Diagnostic Imaging
#1,293
of 1,386 outputs
Outputs of similar age
#189,772
of 213,110 outputs
Outputs of similar age from Critical Reviews in Diagnostic Imaging
#19
of 23 outputs
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