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Adaptive Temperature Compensation in Circadian Oscillations

Overview of attention for article published in PLoS Computational Biology, July 2012
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
8 news outlets
blogs
3 blogs
twitter
4 X users

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
87 Mendeley
citeulike
1 CiteULike
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Title
Adaptive Temperature Compensation in Circadian Oscillations
Published in
PLoS Computational Biology, July 2012
DOI 10.1371/journal.pcbi.1002585
Pubmed ID
Authors

Paul François, Nicolas Despierre, Eric D. Siggia

Abstract

A temperature independent period and temperature entrainment are two defining features of circadian oscillators. A default model of distributed temperature compensation satisfies these basic facts yet is not easily reconciled with other properties of circadian clocks, such as many mutants with altered but temperature compensated periods. The default model also suggests that the shape of the circadian limit cycle and the associated phase response curves (PRC) will vary since the average concentrations of clock proteins change with temperature. We propose an alternative class of models where the twin properties of a fixed period and entrainment are structural and arise from an underlying adaptive system that buffers temperature changes. These models are distinguished by a PRC whose shape is temperature independent and orbits whose extrema are temperature independent. They are readily evolved by local, hill climbing, optimization of gene networks for a common quality measure of biological clocks, phase anticipation. Interestingly a standard realization of the Goodwin model for temperature compensation displays properties of adaptive rather than distributed temperature compensation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 1%
Netherlands 1 1%
Chile 1 1%
France 1 1%
United Kingdom 1 1%
United States 1 1%
Unknown 81 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 29%
Researcher 20 23%
Student > Bachelor 7 8%
Student > Master 7 8%
Professor > Associate Professor 6 7%
Other 12 14%
Unknown 10 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 40%
Biochemistry, Genetics and Molecular Biology 9 10%
Physics and Astronomy 9 10%
Mathematics 5 6%
Engineering 5 6%
Other 15 17%
Unknown 9 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 80. 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 03 October 2017.
All research outputs
#550,503
of 25,887,951 outputs
Outputs from PLoS Computational Biology
#395
of 9,065 outputs
Outputs of similar age
#2,613
of 178,724 outputs
Outputs of similar age from PLoS Computational Biology
#4
of 114 outputs
Altmetric has tracked 25,887,951 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,065 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.3. This one has done particularly well, scoring higher than 95% 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 178,724 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 98% of its contemporaries.
We're also able to compare this research output to 114 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.