| Title |
A pharmacogenetics study to predict outcome in patients receiving anti-VEGF therapy in age related macular degeneration
|
|---|---|
| Published in |
Clinical Ophthalmology, October 2013
|
| DOI | 10.2147/opth.s39635 |
| Pubmed ID | |
| Authors |
John W Kitchens, Nawal Kassem, William Wood, Thomas W Stone, Rick Isernhagen, Edward Wood, Brad A Hancock, Milan Radovich, Josh Waymire, Lang Li, Bryan P Schneider |
| Abstract |
To ascertain whether single nucleotide polymorphisms (SNPs) in the Vascular Endothelial Growth factor (VEGFA), Complement Factor H (CFH), and LOC387715 genes could predict outcome to anti-VEGF therapy for patients with age related macular degeneration (AMD). |
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 % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 3% |
| Unknown | 30 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 5 | 16% |
| Student > Bachelor | 4 | 13% |
| Researcher | 3 | 10% |
| Student > Master | 3 | 10% |
| Student > Ph. D. Student | 2 | 6% |
| Other | 7 | 23% |
| Unknown | 7 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 45% |
| Nursing and Health Professions | 3 | 10% |
| Agricultural and Biological Sciences | 3 | 10% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Business, Management and Accounting | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 7 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 24 August 2021.
All research outputs
#7,778,071
of 25,373,627 outputs
Outputs from Clinical Ophthalmology
#676
of 3,712 outputs
Outputs of similar age
#66,399
of 219,840 outputs
Outputs of similar age from Clinical Ophthalmology
#10
of 68 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 3,712 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 81% 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 219,840 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 69% of its contemporaries.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.