Title |
Ginkgo biloba extract for age-related macular degeneration
|
---|---|
Published in |
Cochrane database of systematic reviews, January 2013
|
DOI | 10.1002/14651858.cd001775.pub2 |
Pubmed ID | |
Authors |
Jennifer R Evans |
Abstract |
Ginkgo is used in the treatment of peripheral vascular disease and 'cerebral insufficiency'. It is thought to have several potential mechanisms of action including increased blood flow, platelet activating factor antagonism, and prevention of membrane damage caused by free radicals. Vascular factors and oxidative damage are thought to be two potential mechanisms in the pathology of age-related macular degeneration (AMD). |
Twitter Demographics
The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 60% |
Unknown | 2 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 60% |
Practitioners (doctors, other healthcare professionals) | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Korea, Republic of | 2 | 1% |
Spain | 1 | <1% |
Unknown | 133 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 21 | 15% |
Student > Master | 16 | 12% |
Researcher | 15 | 11% |
Student > Ph. D. Student | 13 | 10% |
Student > Doctoral Student | 9 | 7% |
Other | 27 | 20% |
Unknown | 35 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 46 | 34% |
Agricultural and Biological Sciences | 11 | 8% |
Nursing and Health Professions | 9 | 7% |
Pharmacology, Toxicology and Pharmaceutical Science | 9 | 7% |
Biochemistry, Genetics and Molecular Biology | 6 | 4% |
Other | 16 | 12% |
Unknown | 39 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 33. 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 February 2022.
All research outputs
#1,053,758
of 23,153,849 outputs
Outputs from Cochrane database of systematic reviews
#2,344
of 12,383 outputs
Outputs of similar age
#9,938
of 284,405 outputs
Outputs of similar age from Cochrane database of systematic reviews
#26
of 171 outputs
Altmetric has tracked 23,153,849 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 12,383 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 32.5. 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 284,405 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 171 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.