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Cardiovascular magnetic resonance myocardial feature tracking using a non-rigid, elastic image registration algorithm: assessment of variability in a real-life clinical setting

Overview of attention for article published in Critical Reviews in Diagnostic Imaging, February 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
8 X users
facebook
1 Facebook page

Citations

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77 Dimensions

Readers on

mendeley
89 Mendeley
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Title
Cardiovascular magnetic resonance myocardial feature tracking using a non-rigid, elastic image registration algorithm: assessment of variability in a real-life clinical setting
Published in
Critical Reviews in Diagnostic Imaging, February 2017
DOI 10.1186/s12968-017-0333-y
Pubmed ID
Authors

Pedro Morais, Alberto Marchi, Julie A. Bogaert, Tom Dresselaers, Brecht Heyde, Jan D’hooge, Jan Bogaert

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 89 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 15 17%
Student > Ph. D. Student 11 12%
Student > Master 11 12%
Researcher 8 9%
Student > Postgraduate 8 9%
Other 16 18%
Unknown 20 22%
Readers by discipline Count As %
Medicine and Dentistry 41 46%
Engineering 11 12%
Computer Science 3 3%
Biochemistry, Genetics and Molecular Biology 2 2%
Agricultural and Biological Sciences 1 1%
Other 6 7%
Unknown 25 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 17 March 2017.
All research outputs
#7,048,999
of 25,711,518 outputs
Outputs from Critical Reviews in Diagnostic Imaging
#498
of 1,386 outputs
Outputs of similar age
#105,049
of 323,208 outputs
Outputs of similar age from Critical Reviews in Diagnostic Imaging
#25
of 36 outputs
Altmetric has tracked 25,711,518 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
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 7.1. This one has gotten more attention than average, scoring higher than 63% of its peers.
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 323,208 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 67% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.