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A Self-Supervised Deep Learning Reconstruction for Shortening the Breathhold and Acquisition Window in Cardiac Magnetic Resonance Fingerprinting

Overview of attention for article published in Frontiers in Cardiovascular Medicine, June 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
21 Mendeley
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Title
A Self-Supervised Deep Learning Reconstruction for Shortening the Breathhold and Acquisition Window in Cardiac Magnetic Resonance Fingerprinting
Published in
Frontiers in Cardiovascular Medicine, June 2022
DOI 10.3389/fcvm.2022.928546
Pubmed ID
Authors

Jesse I. Hamilton

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 29%
Student > Master 3 14%
Researcher 2 10%
Librarian 1 5%
Student > Bachelor 1 5%
Other 1 5%
Unknown 7 33%
Readers by discipline Count As %
Engineering 6 29%
Unspecified 1 5%
Business, Management and Accounting 1 5%
Environmental Science 1 5%
Medicine and Dentistry 1 5%
Other 1 5%
Unknown 10 48%
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 11 July 2022.
All research outputs
#6,078,033
of 22,831,537 outputs
Outputs from Frontiers in Cardiovascular Medicine
#899
of 6,711 outputs
Outputs of similar age
#116,025
of 440,434 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#97
of 936 outputs
Altmetric has tracked 22,831,537 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 6,711 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 86% 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 440,434 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 73% of its contemporaries.
We're also able to compare this research output to 936 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.