| Title |
Machine Learning and Deep Learning Techniques for Optic Disc and Cup Segmentation – A Review
|
|---|---|
| Published in |
Clinical Ophthalmology, March 2022
|
| DOI | 10.2147/opth.s348479 |
| Pubmed ID | |
| Authors |
Mohammed Alawad, Abdulrhman Aljouie, Suhailah Alamri, Mansour Alghamdi, Balsam Alabdulkader, Norah Alkanhal, Ahmed Almazroa |
Twitter Demographics
The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 17% |
| Student > Ph. D. Student | 4 | 17% |
| Other | 2 | 9% |
| Lecturer | 1 | 4% |
| Unspecified | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 9 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 22% |
| Engineering | 4 | 17% |
| Medicine and Dentistry | 2 | 9% |
| Business, Management and Accounting | 1 | 4% |
| Arts and Humanities | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 9 | 39% |
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 19 March 2022.
All research outputs
#16,201,611
of 23,885,338 outputs
Outputs from Clinical Ophthalmology
#1,732
of 3,381 outputs
Outputs of similar age
#256,051
of 430,354 outputs
Outputs of similar age from Clinical Ophthalmology
#32
of 86 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,381 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 29th percentile – i.e., 29% 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 430,354 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 86 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 52% of its contemporaries.