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New lesion segmentation for multiple sclerosis brain images with imaging and lesion-aware augmentation

Overview of attention for article published in Frontiers in Neuroscience, October 2022
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1 X user

Citations

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Readers on

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17 Mendeley
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Title
New lesion segmentation for multiple sclerosis brain images with imaging and lesion-aware augmentation
Published in
Frontiers in Neuroscience, October 2022
DOI 10.3389/fnins.2022.1007453
Pubmed ID
Authors

Berke Doga Basaran, Paul M. Matthews, Wenjia Bai

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

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 24%
Student > Bachelor 2 12%
Student > Master 2 12%
Researcher 2 12%
Unspecified 1 6%
Other 0 0%
Unknown 6 35%
Readers by discipline Count As %
Computer Science 5 29%
Engineering 2 12%
Unspecified 1 6%
Mathematics 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Other 2 12%
Unknown 5 29%
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 07 November 2022.
All research outputs
#22,778,604
of 25,392,582 outputs
Outputs from Frontiers in Neuroscience
#10,169
of 11,543 outputs
Outputs of similar age
#376,857
of 442,715 outputs
Outputs of similar age from Frontiers in Neuroscience
#350
of 453 outputs
Altmetric has tracked 25,392,582 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 11,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. 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 442,715 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 453 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.