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Simplified post processing of cine DENSE cardiovascular magnetic resonance for quantification of cardiac mechanics

Overview of attention for article published in Critical Reviews in Diagnostic Imaging, November 2014
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Title
Simplified post processing of cine DENSE cardiovascular magnetic resonance for quantification of cardiac mechanics
Published in
Critical Reviews in Diagnostic Imaging, November 2014
DOI 10.1186/s12968-014-0094-9
Pubmed ID
Authors

Jonathan D Suever, Gregory J Wehner, Christopher M Haggerty, Linyuan Jing, Sean M Hamlet, Cassi M Binkley, Sage P Kramer, Andrea C Mattingly, David K Powell, Kenneth C Bilchick, Frederick H Epstein, Brandon K Fornwalt

Abstract

Cardiovascular magnetic resonance using displacement encoding with stimulated echoes (DENSE) is capable of assessing advanced measures of cardiac mechanics such as strain and torsion. A potential hurdle to widespread clinical adoption of DENSE is the time required to manually segment the myocardium during post-processing of the images. To overcome this hurdle, we proposed a radical approach in which only three contours per image slice are required for post-processing (instead of the typical 30-40 contours per image slice). We hypothesized that peak left ventricular circumferential, longitudinal and radial strains and torsion could be accurately quantified using this simplified analysis.

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The data shown below were collected from the profiles of 5 X users 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 9%
Unknown 30 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 30%
Student > Ph. D. Student 8 24%
Student > Master 3 9%
Student > Bachelor 2 6%
Professor > Associate Professor 2 6%
Other 3 9%
Unknown 5 15%
Readers by discipline Count As %
Medicine and Dentistry 12 36%
Engineering 8 24%
Computer Science 2 6%
Sports and Recreations 2 6%
Physics and Astronomy 1 3%
Other 0 0%
Unknown 8 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 01 December 2014.
All research outputs
#15,148,294
of 25,728,855 outputs
Outputs from Critical Reviews in Diagnostic Imaging
#934
of 1,386 outputs
Outputs of similar age
#191,263
of 371,427 outputs
Outputs of similar age from Critical Reviews in Diagnostic Imaging
#18
of 20 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,386 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 31st percentile – i.e., 31% 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 371,427 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.