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How deeply does your mutant sleep? Probing arousal to better understand sleep defects in Drosophila

Overview of attention for article published in Scientific Reports, February 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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8 X users
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1 Facebook page

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171 Mendeley
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Title
How deeply does your mutant sleep? Probing arousal to better understand sleep defects in Drosophila
Published in
Scientific Reports, February 2015
DOI 10.1038/srep08454
Pubmed ID
Authors

R. Faville, B. Kottler, G. J. Goodhill, P. J. Shaw, B. van Swinderen

Abstract

The fruitfly, Drosophila melanogaster, has become a critical model system for investigating sleep functions. Most studies use duration of inactivity to measure sleep. However, a defining criterion for sleep is decreased behavioral responsiveness to stimuli. Here we introduce the Drosophila ARousal Tracking system (DART), an integrated platform for efficiently tracking and probing arousal levels in animals. This video-based platform delivers positional and locomotion data, behavioral responsiveness to stimuli, sleep intensity measures, and homeostatic regulation effects - all in one combined system. We show how insight into dynamically changing arousal thresholds is crucial for any sleep study in flies. We first find that arousal probing uncovers different sleep intensity profiles among related genetic background strains previously assumed to have equivalent sleep patterns. We then show how sleep duration and sleep intensity can be uncoupled, with distinct manipulations of dopamine function producing opposite effects on sleep duration but similar sleep intensity defects. We conclude by providing a multi-dimensional assessment of combined arousal and locomotion metrics in the mutant and background strains. Our approach opens the door for deeper insights into mechanisms of sleep regulation and provides a new method for investigating the role of different genetic manipulations in controlling sleep and arousal.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 171 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
United Kingdom 1 <1%
Australia 1 <1%
China 1 <1%
Canada 1 <1%
Unknown 165 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 23%
Researcher 31 18%
Student > Bachelor 20 12%
Student > Master 19 11%
Student > Postgraduate 8 5%
Other 20 12%
Unknown 33 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 56 33%
Neuroscience 50 29%
Biochemistry, Genetics and Molecular Biology 22 13%
Medicine and Dentistry 5 3%
Psychology 1 <1%
Other 3 2%
Unknown 34 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 27 September 2022.
All research outputs
#5,710,172
of 23,796,227 outputs
Outputs from Scientific Reports
#38,809
of 128,463 outputs
Outputs of similar age
#76,556
of 362,503 outputs
Outputs of similar age from Scientific Reports
#376
of 1,354 outputs
Altmetric has tracked 23,796,227 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 128,463 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.5. This one has gotten more attention than average, scoring higher than 69% 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 362,503 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 78% of its contemporaries.
We're also able to compare this research output to 1,354 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.