| Title |
Algorithms for the Automated Detection of Diabetic Retinopathy Using Digital Fundus Images: A Review
|
|---|---|
| Published in |
Journal of Medical Systems, April 2010
|
| DOI | 10.1007/s10916-010-9454-7 |
| Pubmed ID | |
| Authors |
Oliver Faust, Rajendra Acharya U., E. Y. K. Ng, Kwan-Hoong Ng, Jasjit S. Suri |
Mendeley readers
The data shown below were compiled from readership statistics for 336 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 1% |
| United Kingdom | 2 | <1% |
| China | 2 | <1% |
| Spain | 2 | <1% |
| Brazil | 1 | <1% |
| India | 1 | <1% |
| Mexico | 1 | <1% |
| Indonesia | 1 | <1% |
| Turkey | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 320 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 59 | 18% |
| Student > Ph. D. Student | 45 | 13% |
| Student > Bachelor | 42 | 13% |
| Researcher | 32 | 10% |
| Student > Postgraduate | 24 | 7% |
| Other | 70 | 21% |
| Unknown | 64 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 103 | 31% |
| Computer Science | 81 | 24% |
| Medicine and Dentistry | 34 | 10% |
| Agricultural and Biological Sciences | 9 | 3% |
| Mathematics | 6 | 2% |
| Other | 29 | 9% |
| Unknown | 74 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 25 September 2022.
All research outputs
#4,861,321
of 23,408,972 outputs
Outputs from Journal of Medical Systems
#163
of 1,183 outputs
Outputs of similar age
#20,693
of 96,325 outputs
Outputs of similar age from Journal of Medical Systems
#5
of 21 outputs
Altmetric has tracked 23,408,972 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,183 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done well, scoring higher than 84% 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 96,325 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 72% of its contemporaries.
We're also able to compare this research output to 21 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 66% of its contemporaries.