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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Exudate detection in fundus images using deeply-learnable features
|
|---|---|
| Published in |
Computers in Biology & Medicine, November 2018
|
| DOI | 10.1016/j.compbiomed.2018.10.031 |
| Pubmed ID | |
| Authors |
Parham Khojasteh, Leandro Aparecido Passos Júnior, Tiago Carvalho, Edmar Rezende, Behzad Aliahmad, João Paulo Papa, Dinesh Kant Kumar |
X Demographics
The data shown below were collected from the profiles of 17 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 | 2 | 12% |
| France | 1 | 6% |
| India | 1 | 6% |
| Greece | 1 | 6% |
| Canada | 1 | 6% |
| Ireland | 1 | 6% |
| Montenegro | 1 | 6% |
| Unknown | 9 | 53% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 88% |
| Scientists | 2 | 12% |
Mendeley readers
The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 144 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 11% |
| Student > Bachelor | 14 | 10% |
| Student > Master | 13 | 9% |
| Researcher | 12 | 8% |
| Other | 6 | 4% |
| Other | 26 | 18% |
| Unknown | 57 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 27 | 19% |
| Engineering | 21 | 15% |
| Medicine and Dentistry | 14 | 10% |
| Biochemistry, Genetics and Molecular Biology | 3 | 2% |
| Nursing and Health Professions | 3 | 2% |
| Other | 9 | 6% |
| Unknown | 67 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 77. 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 15 January 2019.
All research outputs
#562,106
of 25,728,855 outputs
Outputs from Computers in Biology & Medicine
#11
of 2,823 outputs
Outputs of similar age
#12,131
of 365,749 outputs
Outputs of similar age from Computers in Biology & Medicine
#1
of 39 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,823 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 99% 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 365,749 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.