| Title |
AOCT-NET: a convolutional network automated classification of multiclass retinal diseases using spectral-domain optical coherence tomography images
|
|---|---|
| Published in |
Medical & Biological Engineering & Computing, November 2019
|
| DOI | 10.1007/s11517-019-02066-y |
| Pubmed ID | |
| Authors |
Ali Mohammad Alqudah |
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 % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 104 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 14 | 13% |
| Researcher | 9 | 9% |
| Student > Ph. D. Student | 9 | 9% |
| Student > Doctoral Student | 6 | 6% |
| Other | 5 | 5% |
| Other | 14 | 13% |
| Unknown | 47 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 20 | 19% |
| Medicine and Dentistry | 13 | 13% |
| Engineering | 9 | 9% |
| Unspecified | 4 | 4% |
| Nursing and Health Professions | 2 | 2% |
| Other | 8 | 8% |
| Unknown | 48 | 46% |
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 09 October 2020.
All research outputs
#22,771,990
of 25,387,668 outputs
Outputs from Medical & Biological Engineering & Computing
#1,899
of 2,053 outputs
Outputs of similar age
#322,198
of 374,997 outputs
Outputs of similar age from Medical & Biological Engineering & Computing
#11
of 16 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,053 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 1st percentile – i.e., 1% 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 374,997 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.