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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Peripapillary and Macular Vessel Density in Patients with Primary Open-Angle Glaucoma and Unilateral Visual Field Loss
|
|---|---|
| Published in |
Ophthalmology, November 2017
|
| DOI | 10.1016/j.ophtha.2017.10.029 |
| Pubmed ID | |
| Authors |
Adeleh Yarmohammadi, Linda M. Zangwill, Patricia Isabel C. Manalastas, Nathanael J. Fuller, Alberto Diniz-Filho, Luke J. Saunders, Min Hee Suh, Kyle Hasenstab, Robert N. Weinreb |
| Abstract |
To characterize OCT angiography (OCT-A) vessel density of patients with primary open-angle glaucoma (POAG) with unilateral visual field (VF) loss. Cross-sectional study. A total of 33 patients with POAG with a VF defect in 1 eye (mean VF mean deviation [MD], -3.9±3.1 decibels [dB]) and normal VF in the other eye (mean VF MD, -0.2±0.9 dB) and 33 healthy eyes. All subjects underwent OCT-A imaging, spectral-domain (SD)-OCT imaging, and VF testing. OCT-A retinal vascular measurements were summarized as whole image vessel density (wiVD), circumpapillary vessel density (cpVD), and parafoveal vessel density (pfVD). Inter-eye differences in vascular measures, as well as SD OCT retinal nerve fiber layer (RNFL), macular ganglion cell complex (mGCC) thickness, and rim area measurements in glaucoma and healthy eyes were compared. Areas under the receiver operating characteristic curves (AUROCs) were used to evaluate diagnostic accuracy for differentiating between unaffected eyes of patients with POAG and healthy eyes. Difference in OCT-A vessel density and SD OCT structural parameters between unaffected eyes of patients with POAG with the fellow affected eyes and healthy controls. Mean wiVD in unaffected eyes of patients with POAG (52.0%) was higher than in their fellow affected eyes (48.8%) but lower than in healthy eyes (55.9%; P < 0.001). Mean circumpapillary RNFL (cpRNFL) thickness, mGCC thickness, and rim area measurement in unaffected eyes of patients with POAG (87.5 μm, 87.7 μm, and 1.0 mm2) were also higher than those measurements in their fellow eyes (76.5 μm, 79.5 μm, and 0.8 mm2; P < 0.001) and lower than in healthy eyes (98.0 μm, 94.5 μm, and 1.4 mm2; P < 0.001). The AUROCs for differentiating unaffected eyes of patients with POAG from healthy eyes were highest for wiVD (0.84), followed by mGCC (0.78), cpRNFL (0.77), and pfVD (0.69). OCT-A measures detect changes in retinal microvasculature before VF damage is detectable in patients with POAG, and these changes may reflect damage to tissues relevant to the pathophysiology of glaucoma. Longitudinal studies are needed to determine whether OCT-A measures can improve the detection or prediction of the onset and progression of glaucoma. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 65 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 12% |
| Student > Doctoral Student | 6 | 9% |
| Student > Ph. D. Student | 6 | 9% |
| Other | 5 | 8% |
| Student > Postgraduate | 4 | 6% |
| Other | 13 | 20% |
| Unknown | 23 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 28 | 43% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Nursing and Health Professions | 2 | 3% |
| Agricultural and Biological Sciences | 2 | 3% |
| Engineering | 2 | 3% |
| Other | 2 | 3% |
| Unknown | 27 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 19 December 2017.
All research outputs
#14,541,990
of 25,382,440 outputs
Outputs from Ophthalmology
#4,693
of 6,764 outputs
Outputs of similar age
#216,738
of 445,683 outputs
Outputs of similar age from Ophthalmology
#49
of 92 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,764 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. This one is in the 30th percentile – i.e., 30% 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 445,683 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 51% of its contemporaries.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.