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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Automatic method of analysis of OCT images in assessing the severity degree of glaucoma and the visual field loss
|
|---|---|
| Published in |
BioMedical Engineering OnLine, February 2014
|
| DOI | 10.1186/1475-925x-13-16 |
| Pubmed ID | |
| Authors |
Robert Koprowski, Marek Rzendkowski, Zygmunt Wróbel |
| Abstract |
In many practical aspects of ophthalmology, it is necessary to assess the severity degree of glaucoma in cases where, for various reasons, it is impossible to perform a visual field test - static perimetry. These are cases in which the visual field test result is not reliable, e.g. advanced AMD (Age-related Macular Degeneration). In these cases, there is a need to determine the severity of glaucoma, mainly on the basis of optic nerve head (ONH) and retinal nerve fibre layer (RNFL) structure. OCT is one of the diagnostic methods capable of analysing changes in both, ONH and RNFL in glaucoma. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 16% |
| Researcher | 4 | 16% |
| Student > Master | 4 | 16% |
| Other | 3 | 12% |
| Professor > Associate Professor | 2 | 8% |
| Other | 2 | 8% |
| Unknown | 6 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 28% |
| Engineering | 5 | 20% |
| Computer Science | 3 | 12% |
| Physics and Astronomy | 1 | 4% |
| Psychology | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 8 | 32% |
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 14 February 2014.
All research outputs
#22,759,802
of 25,374,917 outputs
Outputs from BioMedical Engineering OnLine
#733
of 867 outputs
Outputs of similar age
#289,356
of 330,520 outputs
Outputs of similar age from BioMedical Engineering OnLine
#12
of 18 outputs
Altmetric has tracked 25,374,917 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 867 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. 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 330,520 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 18 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.