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Automatic image-based tracking of gadolinium-filled balloon wedge catheters for MRI-guided cardiac catheterization using deep learning

Overview of attention for article published in Frontiers in Cardiovascular Medicine, September 2023
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4 Mendeley
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Title
Automatic image-based tracking of gadolinium-filled balloon wedge catheters for MRI-guided cardiac catheterization using deep learning
Published in
Frontiers in Cardiovascular Medicine, September 2023
DOI 10.3389/fcvm.2023.1233093
Pubmed ID
Authors

Alexander Paul Neofytou, Grzegorz Tomasz Kowalik, Rohini Vidya Shankar, Li Huang, Tracy Moon, Nina Mellor, Reza Razavi, Radhouene Neji, Kuberan Pushparajah, Sébastien Roujol

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 25%
Researcher 1 25%
Unknown 2 50%
Readers by discipline Count As %
Unspecified 1 25%
Engineering 1 25%
Unknown 2 50%
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 08 September 2023.
All research outputs
#21,873,957
of 24,404,997 outputs
Outputs from Frontiers in Cardiovascular Medicine
#5,032
of 8,347 outputs
Outputs of similar age
#140,576
of 172,012 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#144
of 291 outputs
Altmetric has tracked 24,404,997 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 8,347 research outputs from this source. They receive a mean Attention Score of 4.2. 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 172,012 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 291 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.