↓ Skip to main content

Semi-automatic detection of myocardial trabeculation using cardiovascular magnetic resonance: correlation with histology and reproducibility in a mouse model of non-compaction

Overview of attention for article published in Critical Reviews in Diagnostic Imaging, October 2018
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)

Mentioned by

twitter
8 X users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
20 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Semi-automatic detection of myocardial trabeculation using cardiovascular magnetic resonance: correlation with histology and reproducibility in a mouse model of non-compaction
Published in
Critical Reviews in Diagnostic Imaging, October 2018
DOI 10.1186/s12968-018-0489-0
Pubmed ID
Authors

Julien Frandon, Stéphanie Bricq, Zakarya Bentatou, Laetitia Marcadet, Pierre Antoine Barral, Mathieu Finas, Daniel Fagret, Frank Kober, Gilbert Habib, Monique Bernard, Alain Lalande, Lucile Miquerol, Alexis Jacquier

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

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 25%
Researcher 3 15%
Student > Bachelor 2 10%
Unspecified 1 5%
Student > Master 1 5%
Other 1 5%
Unknown 7 35%
Readers by discipline Count As %
Medicine and Dentistry 4 20%
Biochemistry, Genetics and Molecular Biology 3 15%
Computer Science 1 5%
Unspecified 1 5%
Energy 1 5%
Other 3 15%
Unknown 7 35%
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 13 November 2018.
All research outputs
#7,168,177
of 25,711,518 outputs
Outputs from Critical Reviews in Diagnostic Imaging
#532
of 1,386 outputs
Outputs of similar age
#120,580
of 363,021 outputs
Outputs of similar age from Critical Reviews in Diagnostic Imaging
#16
of 18 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 71st 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 60% 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 363,021 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 66% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.