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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Detection of leukocoria using a soft fusion of expert classifiers under non-clinical settings
|
|---|---|
| Published in |
BMC Ophthalmology, September 2014
|
| DOI | 10.1186/1471-2415-14-110 |
| Pubmed ID | |
| Authors |
Pablo Rivas-Perea, Erich Baker, Greg Hamerly, Bryan F Shaw |
| Abstract |
Leukocoria is defined as a white reflection and its manifestation is symptomatic of several ocular pathologies, including retinoblastoma (Rb). Early detection of recurrent leukocoria is critical for improved patient outcomes and can be accomplished via the examination of recreational photography. To date, there exists a paucity of methods to automate leukocoria detection within such a dataset. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 39% |
| Student > Postgraduate | 2 | 7% |
| Student > Ph. D. Student | 2 | 7% |
| Lecturer > Senior Lecturer | 1 | 4% |
| Student > Bachelor | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 8 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 25% |
| Engineering | 5 | 18% |
| Medicine and Dentistry | 5 | 18% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Unspecified | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 8 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 36. 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 31 October 2014.
All research outputs
#948,910
of 22,763,032 outputs
Outputs from BMC Ophthalmology
#10
of 2,329 outputs
Outputs of similar age
#10,662
of 238,632 outputs
Outputs of similar age from BMC Ophthalmology
#1
of 24 outputs
Altmetric has tracked 22,763,032 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,329 research outputs from this source. They receive a mean Attention Score of 2.8. 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 238,632 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 95% of its contemporaries.
We're also able to compare this research output to 24 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 95% of its contemporaries.