Determinants for scalable adoption of autonomous AI in the detection of diabetic eye disease in diverse practice types: key best practices learned through collection of real-world data
Pharmacology, Toxicology and Pharmaceutical Science
1
3%
Unspecified
1
3%
Other
4
12%
Unknown
21
62%
Attention Score in Context
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 18 May 2023.
All research outputs
#16,028,182
of 23,788,679 outputs
Outputs from Frontiers in Digital Health
#464
of 625 outputs
Outputs of similar age
#97,569
of 189,591 outputs
Outputs of similar age from Frontiers in Digital Health
#14
of 32 outputs
Altmetric has tracked 23,788,679 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 625 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one is in the 15th percentile – i.e., 15% 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 189,591 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
