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PER3 Polymorphism Predicts Sleep Structure and Waking Performance

Overview of attention for article published in Current Biology, March 2007
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
policy
1 policy source
patent
5 patents
wikipedia
1 Wikipedia page

Readers on

mendeley
423 Mendeley
citeulike
2 CiteULike
connotea
2 Connotea
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Article details
Title
PER3 Polymorphism Predicts Sleep Structure and Waking Performance
Published in
Current Biology, March 2007
DOI 10.1016/j.cub.2007.01.073
Pubmed ID
Authors
Abstract

Circadian rhythmicity and sleep homeostasis interact to regulate sleep-wake cycles [1-4], but the genetic basis of individual differences in sleep-wake regulation remains largely unknown [5]. PERIOD genes are thought to contribute to individual differences in sleep timing by affecting circadian rhythmicity [6], but not sleep homeostasis [7, 8]. We quantified the contribution of a variable-number tandem-repeat polymorphism in the coding region of the circadian clock gene PERIOD3 (PER3) [9, 10] to sleep-wake regulation in a prospective study, in which 24 healthy participants were selected only on the basis of their PER3 genotype. Homozygosity for the longer allele (PER3(5/5)) had a considerable effect on sleep structure, including several markers of sleep homeostasis: slow-wave sleep (SWS) and electroencephalogram (EEG) slow-wave activity in non-rapid eye movement (non-REM) sleep and theta and alpha activity during wakefulness and REM sleep were all increased in PER3(5/5) compared to PER3(4/4) individuals. In addition, the decrement of cognitive performance in response to sleep loss was significantly greater in the PER3(5/5) individuals. By contrast, the circadian rhythms of melatonin, cortisol, and peripheral PER3 mRNA expression were not affected. The data show that this polymorphism in PER3 predicts individual differences in the sleep-loss-induced decrement in performance and that this differential susceptibility may be mediated by its effects on sleep homeostasis.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 423 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 6 1%
Netherlands 3 <1%
United Kingdom 3 <1%
France 3 <1%
Belgium 2 <1%
Sweden 1 <1%
Mexico 1 <1%
Japan 1 <1%
Italy 1 <1%
Other 5 1%
Unknown 397 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 77 18%
Student > Ph. D. Student 76 18%
Student > Bachelor 43 10%
Student > Master 37 9%
Professor 28 7%
Other 82 19%
Unknown 80 19%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 97 23%
Psychology 62 15%
Medicine and Dentistry 51 12%
Neuroscience 40 9%
Biochemistry, Genetics and Molecular Biology 34 8%
Other 39 9%
Unknown 100 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 19 December 2023.
All research outputs
#1,788,959
of 31,591,940 outputs
Outputs from Current Biology
#4,304
of 16,443 outputs
Outputs of similar age
#3,956
of 115,365 outputs
Outputs of similar age from Current Biology
#11
of 97 outputs
Altmetric has tracked 31,591,940 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,443 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 64.1. This one has gotten more attention than average, scoring higher than 73% 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 115,365 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 96% of its contemporaries.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.