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REM Sleep at its Core – Circuits, Neurotransmitters, and Pathophysiology

Overview of attention for article published in Frontiers in Neurology, May 2015
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

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1 news outlet
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10 X users
wikipedia
1 Wikipedia page

Citations

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131 Dimensions

Readers on

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331 Mendeley
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Title
REM Sleep at its Core – Circuits, Neurotransmitters, and Pathophysiology
Published in
Frontiers in Neurology, May 2015
DOI 10.3389/fneur.2015.00123
Pubmed ID
Authors

Jimmy J. Fraigne, Zoltan A. Torontali, Matthew B. Snow, John H. Peever

Abstract

Rapid eye movement (REM) sleep is generated and maintained by the interaction of a variety of neurotransmitter systems in the brainstem, forebrain, and hypothalamus. Within these circuits lies a core region that is active during REM sleep, known as the subcoeruleus nucleus (SubC) or sublaterodorsal nucleus. It is hypothesized that glutamatergic SubC neurons regulate REM sleep and its defining features such as muscle paralysis and cortical activation. REM sleep paralysis is initiated when glutamatergic SubC cells activate neurons in the ventral medial medulla, which causes release of GABA and glycine onto skeletal motoneurons. REM sleep timing is controlled by activity of GABAergic neurons in the ventrolateral periaqueductal gray and dorsal paragigantocellular reticular nucleus as well as melanin-concentrating hormone neurons in the hypothalamus and cholinergic cells in the laterodorsal and pedunculo-pontine tegmentum in the brainstem. Determining how these circuits interact with the SubC is important because breakdown in their communication is hypothesized to underlie narcolepsy/cataplexy and REM sleep behavior disorder (RBD). This review synthesizes our current understanding of mechanisms generating healthy REM sleep and how dysfunction of these circuits contributes to common REM sleep disorders such as cataplexy/narcolepsy and RBD.

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 331 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 2 <1%
Netherlands 1 <1%
France 1 <1%
United Kingdom 1 <1%
Uruguay 1 <1%
Iran, Islamic Republic of 1 <1%
Canada 1 <1%
Unknown 323 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 56 17%
Researcher 50 15%
Student > Ph. D. Student 45 14%
Student > Master 37 11%
Student > Doctoral Student 22 7%
Other 46 14%
Unknown 75 23%
Readers by discipline Count As %
Neuroscience 74 22%
Medicine and Dentistry 64 19%
Agricultural and Biological Sciences 42 13%
Psychology 23 7%
Biochemistry, Genetics and Molecular Biology 14 4%
Other 26 8%
Unknown 88 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 29 March 2023.
All research outputs
#1,921,688
of 26,179,045 outputs
Outputs from Frontiers in Neurology
#775
of 14,887 outputs
Outputs of similar age
#23,206
of 280,109 outputs
Outputs of similar age from Frontiers in Neurology
#7
of 79 outputs
Altmetric has tracked 26,179,045 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,887 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one has done particularly well, scoring higher than 94% 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 280,109 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 91% of its contemporaries.
We're also able to compare this research output to 79 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 91% of its contemporaries.