ArticlePloS one2018
Interacting circadian and homeostatic processes with opportunity cost: A mathematical model of sleep with application to two mammalian species.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- A Dynamic Model of Weekly Sleep Timing: Endogenous Origins of Social Jetlag.Nature and science of sleep · 2026Article
- A Dynamic Model of Microsleep and Vigilance Tradeoffs in Nesting Chinstrap Penguins.Nature and science of sleep · 2026Article
- Local versus global sleep organization and the quest to determine sleep function.Neurobiology of sleep and circadian rhythms · 2025Article
- A First Glimpse at the Latent Structure of Sleep Valuation Using a Sleep Valuation Item Bank.Nature and science of sleep · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper introduces a new model of sleep for mammals. It extends the classic 'two-process' model of sleep to account for differences in external circumstances. We apply this model to previously-collected data on elephants and sloths, comparing sleep patterns in the wild with sleep patterns in captivity. We find that the model does very well in explaining sleeping patterns for both types of animals, in both the captive state and in the wild state.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.