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Automated intracranial vessel segmentation of 4D flow MRI data in patients with atherosclerotic stenosis using a convolutional neural network

Overview of attention for article published in Frontiers in Radiology, June 2024
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1 X user

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3 Mendeley
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Title
Automated intracranial vessel segmentation of 4D flow MRI data in patients with atherosclerotic stenosis using a convolutional neural network
Published in
Frontiers in Radiology, June 2024
DOI 10.3389/fradi.2024.1385424
Pubmed ID
Authors

Patrick Winter, Haben Berhane, Jackson E. Moore, Maria Aristova, Teresa Reichl, Julian Wollenberg, Adam Richter, Kelly B. Jarvis, Abhinav Patel, Fan Z. Caprio, Ramez N. Abdalla, Sameer A. Ansari, Michael Markl, Susanne Schnell

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.
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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Other 1 33%
Unknown 1 33%
Readers by discipline Count As %
Engineering 2 67%
Unknown 1 33%
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 04 June 2024.
All research outputs
#21,233,991
of 26,075,497 outputs
Outputs from Frontiers in Radiology
#66
of 132 outputs
Outputs of similar age
#97,759
of 147,130 outputs
Outputs of similar age from Frontiers in Radiology
#3
of 4 outputs
Altmetric has tracked 26,075,497 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 132 research outputs from this source. They receive a mean Attention Score of 2.1. 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 147,130 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.