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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 Journal of Cardiovascular Magnetic Resonance (Taylor & Francis Ltd), October 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)

Mentioned by

twitter
8 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
14 Mendeley
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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
Journal of Cardiovascular Magnetic Resonance (Taylor & Francis Ltd), 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

Twitter Demographics

The data shown below were collected from the profiles of 8 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 21%
Student > Ph. D. Student 3 21%
Student > Bachelor 2 14%
Student > Master 1 7%
Lecturer 1 7%
Other 0 0%
Unknown 4 29%
Readers by discipline Count As %
Medicine and Dentistry 4 29%
Biochemistry, Genetics and Molecular Biology 2 14%
Energy 1 7%
Psychology 1 7%
Materials Science 1 7%
Other 1 7%
Unknown 4 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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
#5,118,511
of 18,071,933 outputs
Outputs from Journal of Cardiovascular Magnetic Resonance (Taylor & Francis Ltd)
#466
of 1,119 outputs
Outputs of similar age
#119,806
of 333,115 outputs
Outputs of similar age from Journal of Cardiovascular Magnetic Resonance (Taylor & Francis Ltd)
#66
of 88 outputs
Altmetric has tracked 18,071,933 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,119 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has gotten more attention than average, scoring higher than 57% 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 333,115 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 63% of its contemporaries.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.