Title |
Artificial Intelligence Analysis of Biofluid Markers in Age-Related Macular Degeneration: A Systematic Review
|
---|---|
Published in |
Clinical Ophthalmology, August 2022
|
DOI | 10.2147/opth.s377262 |
Pubmed ID | |
Authors |
Aidan Pucchio, Saffire H Krance, Daiana R Pur, Rafael N Miranda, Tina Felfeli |
X Demographics
The data shown below were collected from the profiles of 35 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 Kingdom | 8 | 23% |
Canada | 3 | 9% |
India | 2 | 6% |
United States | 2 | 6% |
Venezuela, Bolivarian Republic of | 1 | 3% |
Spain | 1 | 3% |
Ireland | 1 | 3% |
South Africa | 1 | 3% |
Unknown | 16 | 46% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 31 | 89% |
Scientists | 2 | 6% |
Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 19 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 2 | 11% |
Student > Master | 2 | 11% |
Student > Ph. D. Student | 2 | 11% |
Student > Doctoral Student | 1 | 5% |
Lecturer | 1 | 5% |
Other | 0 | 0% |
Unknown | 11 | 58% |
Readers by discipline | Count | As % |
---|---|---|
Nursing and Health Professions | 2 | 11% |
Medicine and Dentistry | 2 | 11% |
Agricultural and Biological Sciences | 1 | 5% |
Neuroscience | 1 | 5% |
Materials Science | 1 | 5% |
Other | 0 | 0% |
Unknown | 12 | 63% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 12 September 2022.
All research outputs
#2,185,952
of 25,584,565 outputs
Outputs from Clinical Ophthalmology
#133
of 3,687 outputs
Outputs of similar age
#46,649
of 432,865 outputs
Outputs of similar age from Clinical Ophthalmology
#7
of 80 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,687 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 96% 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 432,865 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 80 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 92% of its contemporaries.