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A comparison of deep learning U-Net architectures for posterior segment OCT retinal layer segmentation

Overview of attention for article published in Scientific Reports, September 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Readers on

mendeley
100 Mendeley
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Article details
Title
A comparison of deep learning U-Net architectures for posterior segment OCT retinal layer segmentation
Published in
Scientific Reports, September 2022
DOI 10.1038/s41598-022-18646-2
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 100 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 12 12%
Researcher 8 8%
Lecturer 4 4%
Student > Bachelor 4 4%
Student > Master 4 4%
Other 9 9%
Unknown 59 59%
Readers by discipline
Readers by discipline Count As %
Computer Science 9 9%
Engineering 8 8%
Environmental Science 4 4%
Biochemistry, Genetics and Molecular Biology 4 4%
Neuroscience 3 3%
Other 9 9%
Unknown 63 63%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 17 October 2024.
All research outputs
#9,211,386
of 27,720,312 outputs
Outputs from Scientific Reports
#62,047
of 152,076 outputs
Outputs of similar age
#151,978
of 437,988 outputs
Outputs of similar age from Scientific Reports
#1,406
of 3,695 outputs
Altmetric has tracked 27,720,312 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 152,076 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.9. This one has gotten more attention than average, scoring higher than 58% 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 437,988 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 64% of its contemporaries.
We're also able to compare this research output to 3,695 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.