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Modified GAN Augmentation Algorithms for the MRI-Classification of Myocardial Scar Tissue in Ischemic Cardiomyopathy

Overview of attention for article published in Frontiers in Cardiovascular Medicine, September 2021
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1 X user

Citations

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6 Dimensions

Readers on

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10 Mendeley
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Title
Modified GAN Augmentation Algorithms for the MRI-Classification of Myocardial Scar Tissue in Ischemic Cardiomyopathy
Published in
Frontiers in Cardiovascular Medicine, September 2021
DOI 10.3389/fcvm.2021.726943
Pubmed ID
Authors

Umesh C. Sharma, Kanhao Zhao, Kyle Mentkowski, Swati D. Sonkawade, Badri Karthikeyan, Jennifer K. Lang, Leslie Ying

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 30%
Researcher 2 20%
Student > Master 2 20%
Unknown 3 30%
Readers by discipline Count As %
Engineering 3 30%
Computer Science 2 20%
Agricultural and Biological Sciences 1 10%
Unknown 4 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 September 2021.
All research outputs
#20,710,927
of 23,310,485 outputs
Outputs from Frontiers in Cardiovascular Medicine
#4,454
of 7,209 outputs
Outputs of similar age
#356,207
of 430,039 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#345
of 625 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,209 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 1st percentile – i.e., 1% 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 430,039 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 625 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.