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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CNNs for automatic glaucoma assessment using fundus images: an extensive validation
|
|---|---|
| Published in |
BioMedical Engineering OnLine, March 2019
|
| DOI | 10.1186/s12938-019-0649-y |
| Pubmed ID | |
| Authors |
Andres Diaz-Pinto, Sandra Morales, Valery Naranjo, Thomas Köhler, Jose M. Mossi, Amparo Navea |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 214 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 214 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 12% |
| Student > Bachelor | 17 | 8% |
| Student > Master | 15 | 7% |
| Researcher | 14 | 7% |
| Lecturer | 10 | 5% |
| Other | 40 | 19% |
| Unknown | 92 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 55 | 26% |
| Engineering | 33 | 15% |
| Medicine and Dentistry | 12 | 6% |
| Biochemistry, Genetics and Molecular Biology | 4 | 2% |
| Psychology | 3 | 1% |
| Other | 13 | 6% |
| Unknown | 94 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 20 November 2023.
All research outputs
#8,682,152
of 25,732,188 outputs
Outputs from BioMedical Engineering OnLine
#242
of 874 outputs
Outputs of similar age
#151,182
of 365,175 outputs
Outputs of similar age from BioMedical Engineering OnLine
#6
of 13 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 874 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 60% 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 365,175 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 51% of its contemporaries.
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 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.