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A classification-based generative approach to selective targeting of global slow oscillations during sleep

Overview of attention for article published in Frontiers in Human Neuroscience, February 2024
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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2 X users

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1 Mendeley
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Title
A classification-based generative approach to selective targeting of global slow oscillations during sleep
Published in
Frontiers in Human Neuroscience, February 2024
DOI 10.3389/fnhum.2024.1342975
Pubmed ID
Authors

Mahmoud Alipour, SangCheol Seok, Sara C. Mednick, Paola Malerba

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 100%
Readers by discipline Count As %
Engineering 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 March 2024.
All research outputs
#19,975,747
of 25,413,176 outputs
Outputs from Frontiers in Human Neuroscience
#6,033
of 7,695 outputs
Outputs of similar age
#149,441
of 231,087 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#40
of 63 outputs
Altmetric has tracked 25,413,176 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,695 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
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 231,087 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.