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Sleep: a synchrony of cell activity‐driven small network states

Overview of attention for article published in European Journal of Neuroscience, May 2013
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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)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
5 news outlets
blogs
1 blog
twitter
10 X users
facebook
1 Facebook page

Readers on

mendeley
118 Mendeley
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Article details
Title
Sleep: a synchrony of cell activity‐driven small network states
Published in
European Journal of Neuroscience, May 2013
DOI 10.1111/ejn.12238
Pubmed ID
Authors
Abstract

We posit a bottom-up sleep-regulatory paradigm in which state changes are initiated within small networks as a consequence of local cell activity. Bottom-up regulatory mechanisms are prevalent throughout nature, occurring in vastly different systems and levels of organization. Synchronization of state without top-down regulation is a fundamental property of large collections of small semi-autonomous entities. We posit that such synchronization mechanisms are sufficient and necessary for whole-organism sleep onset. Within the brain we posit that small networks of highly interconnected neurons and glia, for example cortical columns, are semi-autonomous units oscillating between sleep-like and wake-like states. We review evidence showing that cells, small networks and regional areas of the brain share sleep-like properties with whole-animal sleep. A testable hypothesis focused on how sleep is initiated within local networks is presented. We posit that the release of cell activity-dependent molecules, such as ATP and nitric oxide, into the extracellular space initiates state changes within the local networks where they are produced. We review mechanisms of ATP induction of sleep-regulatory substances and their actions on receptor trafficking. Finally, we provide an example of how such local metabolic and state changes provide mechanistic explanations for clinical conditions, such as insomnia.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 118 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 %
United States 1 <1%
Japan 1 <1%
United Kingdom 1 <1%
France 1 <1%
Colombia 1 <1%
Belarus 1 <1%
Unknown 112 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 26 22%
Student > Ph. D. Student 17 14%
Student > Master 15 13%
Student > Bachelor 9 8%
Student > Postgraduate 7 6%
Other 21 18%
Unknown 23 19%
Readers by discipline
Readers by discipline Count As %
Neuroscience 31 26%
Agricultural and Biological Sciences 19 16%
Psychology 12 10%
Medicine and Dentistry 10 8%
Biochemistry, Genetics and Molecular Biology 4 3%
Other 7 6%
Unknown 35 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 55. 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 December 2016.
All research outputs
#880,330
of 28,829,220 outputs
Outputs from European Journal of Neuroscience
#96
of 6,694 outputs
Outputs of similar age
#5,841
of 213,503 outputs
Outputs of similar age from European Journal of Neuroscience
#3
of 90 outputs
Altmetric has tracked 28,829,220 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,694 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done particularly well, scoring higher than 98% 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 213,503 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 90 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.