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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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
46 news outlets
blogs
2 blogs
policy
2 policy sources
twitter
86 X users
facebook
16 Facebook pages
googleplus
1 Google+ user
reddit
4 Redditors
video
2 YouTube creators
bluesky
1 Bluesky user
podcasts
1 podcast

Readers on

mendeley
251 Mendeley
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Article details
Title
The effects of self-selected light-dark cycles and social constraints on human sleep and circadian timing: a modeling approach
Published in
Scientific Reports, March 2017
DOI 10.1038/srep45158
Pubmed ID
Authors
Abstract

Why do we go to sleep late and struggle to wake up on time? Historically, light-dark cycles were dictated by the solar day, but now humans can extend light exposure by switching on artificial lights. We use a mathematical model incorporating effects of light, circadian rhythmicity and sleep homeostasis to provide a quantitative theoretical framework to understand effects of modern patterns of light consumption on the human circadian system. The model shows that without artificial light humans wakeup at dawn. Artificial light delays circadian rhythmicity and preferred sleep timing and compromises synchronisation to the solar day when wake-times are not enforced. When wake-times are enforced by social constraints, such as work or school, artificial light induces a mismatch between sleep timing and circadian rhythmicity ('social jet-lag'). The model implies that developmental changes in sleep homeostasis and circadian amplitude make adolescents particularly sensitive to effects of light consumption. The model predicts that ameliorating social jet-lag is more effectively achieved by reducing evening light consumption than by delaying social constraints, particularly in individuals with slow circadian clocks or when imposed wake-times occur after sunrise. These theory-informed predictions may aid design of interventions to prevent and treat circadian rhythm-sleep disorders and social jet-lag.

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profiles of 86 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 251 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 %
Australia 1 <1%
Unknown 250 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 34 14%
Researcher 34 14%
Student > Bachelor 32 13%
Student > Master 27 11%
Other 16 6%
Other 42 17%
Unknown 66 26%
Readers by discipline
Readers by discipline Count As %
Neuroscience 28 11%
Psychology 25 10%
Medicine and Dentistry 19 8%
Agricultural and Biological Sciences 17 7%
Engineering 15 6%
Other 62 25%
Unknown 85 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 456. 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 07 September 2026.
All research outputs
#77,285
of 34,675,792 outputs
Outputs from Scientific Reports
#1,061
of 185,283 outputs
Outputs of similar age
#1,380
of 353,887 outputs
Outputs of similar age from Scientific Reports
#30
of 4,756 outputs
Altmetric has tracked 34,675,792 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 185,283 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has done particularly well, scoring higher than 99% 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 353,887 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 99% of its contemporaries.
We're also able to compare this research output to 4,756 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 99% of its contemporaries.