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Automatic segmentation of OCT retinal boundaries using recurrent neural networks and graph search.

Overview of attention for article published in Biomedical Optics Express, October 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

patent
2 patents

Readers on

mendeley
95 Mendeley
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Article details
Title
Automatic segmentation of OCT retinal boundaries using recurrent neural networks and graph search.
Published in
Biomedical Optics Express, October 2018
DOI 10.1364/boe.9.005759
Pubmed ID
Authors

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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 95 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 95 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 14 15%
Student > Master 12 13%
Student > Bachelor 9 9%
Student > Doctoral Student 7 7%
Other 4 4%
Other 14 15%
Unknown 35 37%
Readers by discipline
Readers by discipline Count As %
Computer Science 17 18%
Engineering 14 15%
Medicine and Dentistry 10 11%
Nursing and Health Professions 3 3%
Neuroscience 3 3%
Other 9 9%
Unknown 39 41%
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 30 September 2025.
All research outputs
#7,584,757
of 34,376,207 outputs
Outputs from Biomedical Optics Express
#806
of 3,600 outputs
Outputs of similar age
#107,766
of 392,893 outputs
Outputs of similar age from Biomedical Optics Express
#22
of 82 outputs
Altmetric has tracked 34,376,207 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 3,600 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one has gotten more attention than average, scoring higher than 71% 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 392,893 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 82 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 69% of its contemporaries.