Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Springer International Publishing
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.
X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
A Coarse to Fine Corneal Ulcer Segmentation Approach Using U-net and DexiNed in Chain
|
|---|---|
| Book title |
Lecture Notes in Computer Science
|
| Published in |
Lecture notes in computer science, January 2022
|
| DOI | 10.1007/978-3-030-93420-0_2 |
| Book ISBNs |
978-3-03-093419-4, 978-3-03-093420-0
|
| Authors |
Portela, Helano Miguel B. F., M. S. Veras, Rodrigo de, Vogado, Luis Henrique S., Leite, Daniel, Sousa, Jefferson A. de, Paiva, Anselmo C. de, Tavares, João Manuel R. S., Helano Miguel B. F. Portela, Rodrigo de M. S. Veras, Luis Henrique S. Vogado, Daniel Leite, Jefferson A. de Sousa, Anselmo C. de Paiva, João Manuel R. S. Tavares, de M. S. Veras, Rodrigo, de Sousa, Jefferson A., de Paiva, Anselmo C. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 1 | 33% |
| Lecturer > Senior Lecturer | 1 | 33% |
| Unknown | 1 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 1 | 33% |
| Engineering | 1 | 33% |
| Unknown | 1 | 33% |
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 13 January 2022.
All research outputs
#15,376,252
of 22,875,477 outputs
Outputs from Lecture notes in computer science
#4,649
of 8,128 outputs
Outputs of similar age
#278,724
of 500,299 outputs
Outputs of similar age from Lecture notes in computer science
#10
of 13 outputs
Altmetric has tracked 22,875,477 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,128 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 27th percentile – i.e., 27% 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 500,299 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.