Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging
Josefa Díaz-Álvarez, Jordi A. Matias-Guiu, María Nieves Cabrera-Martín, Vanesa Pytel, Ignacio Segovia-Ríos, Fernando García-Gutiérrez, Laura Hernández-Lorenzo, Jorge Matias-Guiu, José Luis Carreras, José L. Ayala
This research output has an Altmetric Attention Score of 21. 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 25 February 2022.
All research outputs
#1,890,013
of 26,445,486 outputs
Outputs from Frontiers in Aging Neuroscience
#496
of 5,742 outputs
Outputs of similar age
#46,642
of 536,007 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#26
of 278 outputs
Altmetric has tracked 26,445,486 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,742 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has done particularly well, scoring higher than 91% 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 536,007 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 91% of its contemporaries.
We're also able to compare this research output to 278 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 90% of its contemporaries.
