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Daily rhythms of the sleep-wake cycle

Overview of attention for article published in Journal of Physiological Anthropology, March 2012
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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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
wikipedia
7 Wikipedia pages

Citations

dimensions_citation
74 Dimensions

Readers on

mendeley
361 Mendeley
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Title
Daily rhythms of the sleep-wake cycle
Published in
Journal of Physiological Anthropology, March 2012
DOI 10.1186/1880-6805-31-5
Pubmed ID
Authors

Jim Waterhouse, Yumi Fukuda, Takeshi Morita

Abstract

The amount and timing of sleep and sleep architecture (sleep stages) are determined by several factors, important among which are the environment, circadian rhythms and time awake. Separating the roles played by these factors requires specific protocols, including the constant routine and altered sleep-wake schedules. Results from such protocols have led to the discovery of the factors that determine the amounts and distribution of slow wave and rapid eye movement sleep as well as to the development of models to determine the amount and timing of sleep. One successful model postulates two processes. The first is process S, which is due to sleep pressure (and increases with time awake) and is attributed to a 'sleep homeostat'. Process S reverses during slow wave sleep (when it is called process S'). The second is process C, which shows a daily rhythm that is parallel to the rhythm of core temperature. Processes S and C combine approximately additively to determine the times of sleep onset and waking. The model has proved useful in describing normal sleep in adults. Current work aims to identify the detailed nature of processes S and C. The model can also be applied to circumstances when the sleep-wake cycle is different from the norm in some way. These circumstances include: those who are poor sleepers or short sleepers; the role an individual's chronotype (a measure of how the timing of the individual's preferred sleep-wake cycle compares with the average for a population); and changes in the sleep-wake cycle with age, particularly in adolescence and aging, since individuals tend to prefer to go to sleep later during adolescence and earlier in old age. In all circumstances, the evidence that sleep times and architecture are altered and the possible causes of these changes (including altered S, S' and C processes) are examined.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 361 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 3 <1%
Germany 2 <1%
Brazil 2 <1%
Spain 2 <1%
Chile 1 <1%
India 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
Portugal 1 <1%
Other 4 1%
Unknown 343 95%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 69 19%
Student > Master 48 13%
Student > Ph. D. Student 43 12%
Researcher 29 8%
Student > Doctoral Student 24 7%
Other 56 16%
Unknown 92 25%
Readers by discipline Count As %
Medicine and Dentistry 71 20%
Agricultural and Biological Sciences 34 9%
Psychology 24 7%
Sports and Recreations 21 6%
Nursing and Health Professions 20 6%
Other 84 23%
Unknown 107 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 06 January 2024.
All research outputs
#3,121,308
of 25,374,917 outputs
Outputs from Journal of Physiological Anthropology
#84
of 451 outputs
Outputs of similar age
#18,683
of 169,164 outputs
Outputs of similar age from Journal of Physiological Anthropology
#1
of 6 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 451 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.4. This one has done well, scoring higher than 81% 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 169,164 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 88% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them