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Quantification of left ventricular functional parameter values using 3D spiral bSSFP and through-time Non-Cartesian GRAPPA

Overview of attention for article published in Journal of Cardiovascular Magnetic Resonance (Taylor & Francis Ltd), September 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)

Mentioned by

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4 tweeters

Citations

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21 Dimensions

Readers on

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46 Mendeley

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Title
Quantification of left ventricular functional parameter values using 3D spiral bSSFP and through-time Non-Cartesian GRAPPA
Published in
Journal of Cardiovascular Magnetic Resonance (Taylor & Francis Ltd), September 2014
DOI 10.1186/s12968-014-0065-1
Pubmed ID
25231607
Authors

Kestutis J Barkauskas, Prabhakar Rajiah, Ravi Ashwath, Jesse I Hamilton, Yong Chen, Dan Ma, Katherine L Wright, Vikas Gulani, Mark A Griswold, Nicole Seiberlich

Abstract

The standard clinical acquisition for left ventricular functional parameter analysis with cardiovascular magnetic resonance (CMR) uses a multi-breathhold multi-slice segmented balanced SSFP sequence. Performing multiple long breathholds in quick succession for ventricular coverage in the short-axis orientation can lead to fatigue and is challenging in patients with severe cardiac or respiratory disorders. This study combines the encoding efficiency of a six-fold undersampled 3D stack of spirals balanced SSFP sequence with 3D through-time spiral GRAPPA parallel imaging reconstruction. This 3D spiral method requires only one breathhold to collect the dynamic data.

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Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 2%
Unknown 45 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 35%
Researcher 9 20%
Professor > Associate Professor 5 11%
Professor 4 9%
Other 2 4%
Other 3 7%
Unknown 7 15%
Readers by discipline Count As %
Engineering 15 33%
Medicine and Dentistry 12 26%
Physics and Astronomy 3 7%
Computer Science 2 4%
Agricultural and Biological Sciences 2 4%
Other 1 2%
Unknown 11 24%

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 19 September 2014.
All research outputs
#3,785,025
of 8,702,492 outputs
Outputs from Journal of Cardiovascular Magnetic Resonance (Taylor & Francis Ltd)
#364
of 615 outputs
Outputs of similar age
#66,745
of 189,635 outputs
Outputs of similar age from Journal of Cardiovascular Magnetic Resonance (Taylor & Francis Ltd)
#24
of 32 outputs
Altmetric has tracked 8,702,492 research outputs across all sources so far. This one has received more attention than most of these and is in the 56th percentile.
So far Altmetric has tracked 615 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 39th percentile – i.e., 39% 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 189,635 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.

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