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Feature tracking compared with tissue tagging measurements of segmental strain by cardiovascular magnetic resonance

Overview of attention for article published in Critical Reviews in Diagnostic Imaging, January 2014
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Title
Feature tracking compared with tissue tagging measurements of segmental strain by cardiovascular magnetic resonance
Published in
Critical Reviews in Diagnostic Imaging, January 2014
DOI 10.1186/1532-429x-16-10
Pubmed ID
Authors

LiNa Wu, Tjeerd Germans, Ahmet Güçlü, Martijn W Heymans, Cornelis P Allaart, Albert C van Rossum

Abstract

Left ventricular segmental wall motion analysis is important for clinical decision making in cardiac diseases. Strain analysis with myocardial tissue tagging is the non-invasive gold standard for quantitative assessment, however, it is time-consuming. Cardiovascular magnetic resonance myocardial feature-tracking (CMR-FT) can rapidly perform strain analysis, because it can be employed with standard CMR cine-imaging. The aim is to validate segmental peak systolic circumferential strain (peak SCS) and time to peak systolic circumferential strain (T2P-SCS) analysed by CMR-FT against tissue tagging, and determine its intra and inter-observer variability.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
United Kingdom 1 <1%
Czechia 1 <1%
Brazil 1 <1%
Unknown 138 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 19%
Researcher 19 13%
Student > Doctoral Student 16 11%
Other 15 10%
Student > Master 12 8%
Other 33 23%
Unknown 22 15%
Readers by discipline Count As %
Medicine and Dentistry 85 59%
Engineering 12 8%
Computer Science 7 5%
Agricultural and Biological Sciences 2 1%
Nursing and Health Professions 2 1%
Other 9 6%
Unknown 27 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 13 September 2014.
All research outputs
#22,889,200
of 25,522,520 outputs
Outputs from Critical Reviews in Diagnostic Imaging
#1,287
of 1,379 outputs
Outputs of similar age
#281,998
of 321,515 outputs
Outputs of similar age from Critical Reviews in Diagnostic Imaging
#25
of 32 outputs
Altmetric has tracked 25,522,520 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 1,379 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 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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