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Predicting Attentional Vulnerability to Sleep Deprivation: A Multivariate Pattern Analysis of DTI Data

Overview of attention for article published in Nature and science of sleep, April 2022
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1 X user

Citations

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6 Mendeley
Title
Predicting Attentional Vulnerability to Sleep Deprivation: A Multivariate Pattern Analysis of DTI Data
Published in
Nature and science of sleep, April 2022
DOI 10.2147/nss.s345328
Pubmed ID
Authors

Chen Wang, Peng Fang, Ya Li, Lin Wu, Tian Hu, Qi Yang, Aiping Han, Yingjuan Chang, Xing Tang, Xiuhua Lv, Ziliang Xu, Yongqiang Xu, Leilei Li, Minwen Zheng, Yuanqiang Zhu

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 33%
Student > Master 1 17%
Unknown 3 50%
Readers by discipline Count As %
Business, Management and Accounting 1 17%
Psychology 1 17%
Neuroscience 1 17%
Unknown 3 50%
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 07 May 2022.
All research outputs
#22,774,430
of 25,392,582 outputs
Outputs from Nature and science of sleep
#560
of 629 outputs
Outputs of similar age
#380,329
of 447,757 outputs
Outputs of similar age from Nature and science of sleep
#39
of 42 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 629 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one is in the 1st percentile – i.e., 1% 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 447,757 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.