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Attention Score in Context
| Title |
Identifying discriminative features of brain network for prediction of Alzheimer’s disease using graph theory and machine learning
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, June 2024
|
| DOI | 10.3389/fninf.2024.1384720 |
| Pubmed ID | |
| Authors |
S. M. Shayez Karim, Shah Fahad, R. S. Rathore |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 July 2024.
All research outputs
#5,060,223
of 26,250,639 outputs
Outputs from Frontiers in Neuroinformatics
#238
of 851 outputs
Outputs of similar age
#38,908
of 202,106 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#1
of 3 outputs
Altmetric has tracked 26,250,639 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 851 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 71% 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 202,106 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 79% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them