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A Quantitative Imaging Biomarker Supporting Radiological Assessment of Hippocampal Sclerosis Derived From Deep Learning-Based Segmentation of T1w-MRI

Overview of attention for article published in Frontiers in Neurology, February 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
9 X users

Citations

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8 Dimensions

Readers on

mendeley
10 Mendeley
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Title
A Quantitative Imaging Biomarker Supporting Radiological Assessment of Hippocampal Sclerosis Derived From Deep Learning-Based Segmentation of T1w-MRI
Published in
Frontiers in Neurology, February 2022
DOI 10.3389/fneur.2022.812432
Pubmed ID
Authors

Michael Rebsamen, Piotr Radojewski, Richard McKinley, Mauricio Reyes, Roland Wiest, Christian Rummel

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 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 2 20%
Student > Bachelor 2 20%
Researcher 1 10%
Other 1 10%
Unknown 4 40%
Readers by discipline Count As %
Engineering 2 20%
Medicine and Dentistry 2 20%
Chemistry 1 10%
Neuroscience 1 10%
Unknown 4 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 06 July 2023.
All research outputs
#6,814,882
of 26,250,639 outputs
Outputs from Frontiers in Neurology
#4,519
of 14,919 outputs
Outputs of similar age
#132,134
of 456,727 outputs
Outputs of similar age from Frontiers in Neurology
#162
of 830 outputs
Altmetric has tracked 26,250,639 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 14,919 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 69% 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 456,727 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 70% of its contemporaries.
We're also able to compare this research output to 830 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.