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Simultaneous quantification of myocardial and blood flow velocities based on duplex mode ultrasound imaging

Overview of attention for article published in BioMedical Engineering OnLine, October 2013
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Title
Simultaneous quantification of myocardial and blood flow velocities based on duplex mode ultrasound imaging
Published in
BioMedical Engineering OnLine, October 2013
DOI 10.1186/1475-925x-12-107
Pubmed ID
Authors

Christer Grönlund, Kenji Claesson, Jan D’hooge, Michael Y Henein, Per Lindqvist

Abstract

Ultrasound imaging of the heart is a commonly used clinical tool to assess cardiac function. The basis for this analysis is the quantification of cardiac blood flow and myocardial velocities. These are typically measured using different imaging modes and on different cardiac cycles. However, due to beat-to-beat variations such as irregular heart rhythm and transient events, simultaneous acquisition is preferred. There exists specialized ultrasound systems for this purpose; however, it would be beneficial if this could be achieved using conventional ultrasound systems due to their wide availability. The conventional Duplex mode ultrasound allows simultaneous acquisition, however at a highly reduced spatial and temporal resolution.

X Demographics

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 15%
Other 3 9%
Student > Bachelor 3 9%
Professor 3 9%
Researcher 3 9%
Other 8 24%
Unknown 8 24%
Readers by discipline Count As %
Engineering 9 27%
Medicine and Dentistry 4 12%
Biochemistry, Genetics and Molecular Biology 2 6%
Social Sciences 2 6%
Agricultural and Biological Sciences 1 3%
Other 4 12%
Unknown 11 33%
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 16 October 2013.
All research outputs
#17,285,668
of 25,374,647 outputs
Outputs from BioMedical Engineering OnLine
#459
of 867 outputs
Outputs of similar age
#140,175
of 223,621 outputs
Outputs of similar age from BioMedical Engineering OnLine
#8
of 21 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 867 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 33rd percentile – i.e., 33% 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 223,621 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.