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3D black blood cardiovascular magnetic resonance atlases of congenital aortic arch anomalies and the normal fetal heart: application to automated multi-label segmentation

Overview of attention for article published in Critical Reviews in Diagnostic Imaging, December 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
23 Mendeley
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Title
3D black blood cardiovascular magnetic resonance atlases of congenital aortic arch anomalies and the normal fetal heart: application to automated multi-label segmentation
Published in
Critical Reviews in Diagnostic Imaging, December 2022
DOI 10.1186/s12968-022-00902-z
Pubmed ID
Authors

Alena U. Uus, Milou P. M. van Poppel, Johannes K. Steinweg, Irina Grigorescu, Paula Ramirez Gilliland, Thomas A. Roberts, Alexia Egloff Collado, Mary A. Rutherford, Joseph V. Hajnal, David F. A. Lloyd, Kuberan Pushparajah, Maria Deprez

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 22%
Researcher 3 13%
Unspecified 2 9%
Student > Doctoral Student 1 4%
Other 1 4%
Other 2 9%
Unknown 9 39%
Readers by discipline Count As %
Medicine and Dentistry 6 26%
Engineering 3 13%
Unspecified 2 9%
Nursing and Health Professions 1 4%
Materials Science 1 4%
Other 1 4%
Unknown 9 39%
Attention Score in Context

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 14 January 2023.
All research outputs
#15,020,343
of 25,738,558 outputs
Outputs from Critical Reviews in Diagnostic Imaging
#916
of 1,386 outputs
Outputs of similar age
#196,420
of 484,572 outputs
Outputs of similar age from Critical Reviews in Diagnostic Imaging
#9
of 27 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
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 is in the 32nd percentile – i.e., 32% 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 484,572 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 58% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.