↓ Skip to main content

Automatic choroidal segmentation in OCT images using supervised deep learning methods

Overview of attention for article published in Scientific Reports, September 2019
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
12 news outlets
blogs
1 blog
twitter
7 X users
patent
3 patents
reddit
2 Redditors

Readers on

mendeley
111 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Automatic choroidal segmentation in OCT images using supervised deep learning methods
Published in
Scientific Reports, September 2019
DOI 10.1038/s41598-019-49816-4
Pubmed ID
Authors

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users 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 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 111 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 18 16%
Student > Master 16 14%
Student > Doctoral Student 8 7%
Researcher 8 7%
Student > Bachelor 5 5%
Other 10 9%
Unknown 46 41%
Readers by discipline
Readers by discipline Count As %
Engineering 16 14%
Medicine and Dentistry 13 12%
Computer Science 11 10%
Physics and Astronomy 7 6%
Nursing and Health Professions 6 5%
Other 4 4%
Unknown 54 49%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 101. 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 11 August 2026.
All research outputs
#519,069
of 33,992,632 outputs
Outputs from Scientific Reports
#5,655
of 182,024 outputs
Outputs of similar age
#8,322
of 364,971 outputs
Outputs of similar age from Scientific Reports
#118
of 3,528 outputs
Altmetric has tracked 33,992,632 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 182,024 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.1. This one has done particularly well, scoring higher than 96% 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 364,971 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 3,528 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.