Previous estimates of the utility of polygenic risk score analysis for the prediction of Alzheimer's disease have given Area Under the Curve estimates of <80%. However, these have been based on the genetic analysis of clinical case control series. Here we apply the same analytic approaches to a pathological case control series and show a predictive AUC of 84%. We suggest that this analysis has clinical utility and that there is limited room for further improvement using genetic data. This article is protected by copyright. All rights reserved.
This research output has an Altmetric Attention Score of 12. 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 05 February 2021.
All research outputs
#3,522,318
of 32,056,643 outputs
Outputs from Annals of Neurology
#1,618
of 6,593 outputs
Outputs of similar age
#50,784
of 345,744 outputs
Outputs of similar age from Annals of Neurology
#25
of 47 outputs
Altmetric has tracked 32,056,643 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,593 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.4. This one has gotten more attention than average, scoring higher than 73% of its peers.
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We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.