Validation and algorithmic audit of a deep learning system for the detection of proximal femoral fractures in patients in the emergency department: a diagnostic accuracy study
This research output has an Altmetric Attention Score of 77. 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 11 May 2022.
All research outputs
#704,840
of 34,377,743 outputs
Outputs from The Lancet Digital Health
#185
of 989 outputs
Outputs of similar age
#14,413
of 473,199 outputs
Outputs of similar age from The Lancet Digital Health
#10
of 45 outputs
Altmetric has tracked 34,377,743 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 989 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 69.4. 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 473,199 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 45 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.
