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A systems genetics resource and analysis of sleep regulation in the mouse

Overview of attention for article published in PLoS Biology, August 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

news
6 news outlets
blogs
2 blogs
twitter
53 X users
facebook
2 Facebook pages
googleplus
1 Google+ user
video
1 YouTube creator

Readers on

mendeley
72 Mendeley
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Article details
Title
A systems genetics resource and analysis of sleep regulation in the mouse
Published in
PLoS Biology, August 2018
DOI 10.1371/journal.pbio.2005750
Pubmed ID
Authors
Abstract

Sleep is essential for optimal brain functioning and health, but the biological substrates through which sleep delivers these beneficial effects remain largely unknown. We used a systems genetics approach in the BXD genetic reference population (GRP) of mice and assembled a comprehensive experimental knowledge base comprising a deep "sleep-wake" phenome, central and peripheral transcriptomes, and plasma metabolome data, collected under undisturbed baseline conditions and after sleep deprivation (SD). We present analytical tools to interactively interrogate the database, visualize the molecular networks altered by sleep loss, and prioritize candidate genes. We found that a one-time, short disruption of sleep already extensively reshaped the systems genetics landscape by altering 60%-78% of the transcriptomes and the metabolome, with numerous genetic loci affecting the magnitude and direction of change. Systems genetics integrative analyses drawing on all levels of organization imply α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) receptor trafficking and fatty acid turnover as substrates of the negative effects of insufficient sleep. Our analyses demonstrate that genetic heterogeneity and the effects of insufficient sleep itself on the transcriptome and metabolome are far more widespread than previously reported.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 53 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 12 17%
Researcher 12 17%
Student > Master 8 11%
Other 7 10%
Student > Bachelor 6 8%
Other 16 22%
Unknown 11 15%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 26%
Neuroscience 12 17%
Medicine and Dentistry 6 8%
Agricultural and Biological Sciences 5 7%
Environmental Science 2 3%
Other 12 17%
Unknown 16 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 85. 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 24 March 2020.
All research outputs
#636,341
of 34,376,207 outputs
Outputs from PLoS Biology
#1,093
of 7,798 outputs
Outputs of similar age
#10,380
of 372,633 outputs
Outputs of similar age from PLoS Biology
#30
of 134 outputs
Altmetric has tracked 34,376,207 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,798 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 56.9. This one has done well, scoring higher than 86% 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 372,633 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 97% of its contemporaries.
We're also able to compare this research output to 134 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.