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Generalizable Framework for Atrial Volume Estimation for Cardiac CT Images Using Deep Learning With Quality Control Assessment

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

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

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5 X users

Citations

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11 Dimensions

Readers on

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19 Mendeley
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Title
Generalizable Framework for Atrial Volume Estimation for Cardiac CT Images Using Deep Learning With Quality Control Assessment
Published in
Frontiers in Cardiovascular Medicine, January 2022
DOI 10.3389/fcvm.2022.822269
Pubmed ID
Authors

Musa Abdulkareem, Mark S. Brahier, Fengwei Zou, Alexandra Taylor, Athanasios Thomaides, Peter J. Bergquist, Monvadi B. Srichai, Aaron M. Lee, Jose D. Vargas, Steffen E. Petersen

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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 32%
Researcher 1 5%
Lecturer 1 5%
Other 1 5%
Unknown 10 53%
Readers by discipline Count As %
Business, Management and Accounting 2 11%
Computer Science 2 11%
Engineering 2 11%
Medicine and Dentistry 2 11%
Nursing and Health Professions 1 5%
Other 1 5%
Unknown 9 47%
Attention Score in Context

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 17 February 2022.
All research outputs
#7,533,308
of 23,146,350 outputs
Outputs from Frontiers in Cardiovascular Medicine
#1,240
of 7,066 outputs
Outputs of similar age
#169,134
of 505,092 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#142
of 838 outputs
Altmetric has tracked 23,146,350 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 7,066 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 82% 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 505,092 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 838 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.