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Attention Score in Context
Title |
Detection of Alzheimer’s disease using Otsu thresholding with tunicate swarm algorithm and deep belief network
|
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Published in |
Frontiers in Physiology, July 2024
|
DOI | 10.3389/fphys.2024.1380459 |
Pubmed ID | |
Authors |
Praveena Ganesan, G. P. Ramesh, Przemysław Falkowski-Gilski, Bożena Falkowska-Gilska |
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 26 July 2024.
All research outputs
#5,091,568
of 26,377,159 outputs
Outputs from Frontiers in Physiology
#2,594
of 15,836 outputs
Outputs of similar age
#37,854
of 198,974 outputs
Outputs of similar age from Frontiers in Physiology
#6
of 78 outputs
Altmetric has tracked 26,377,159 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 15,836 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done well, scoring higher than 83% 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 198,974 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 78 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 92% of its contemporaries.