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Robustness from flexibility in the fungal circadian clock

Overview of attention for article published in BMC Systems Biology, June 2010
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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 (79th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

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1 blog
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Citations

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50 Dimensions

Readers on

mendeley
86 Mendeley
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6 CiteULike
Title
Robustness from flexibility in the fungal circadian clock
Published in
BMC Systems Biology, June 2010
DOI 10.1186/1752-0509-4-88
Pubmed ID
Authors

Ozgur E Akman, David A Rand, Paul E Brown, Andrew J Millar

Abstract

Robustness is a central property of living systems, enabling function to be maintained against environmental perturbations. A key challenge is to identify the structures in biological circuits that confer system-level properties such as robustness. Circadian clocks allow organisms to adapt to the predictable changes of the 24-hour day/night cycle by generating endogenous rhythms that can be entrained to the external cycle. In all organisms, the clock circuits typically comprise multiple interlocked feedback loops controlling the rhythmic expression of key genes. Previously, we showed that such architectures increase the flexibility of the clock's rhythmic behaviour. We now test the relationship between flexibility and robustness, using a mathematical model of the circuit controlling conidiation in the fungus Neurospora crassa.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 5 6%
United States 3 3%
Chile 2 2%
Norway 1 1%
Portugal 1 1%
Italy 1 1%
Netherlands 1 1%
Unknown 72 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 31%
Researcher 18 21%
Student > Master 8 9%
Professor > Associate Professor 7 8%
Professor 7 8%
Other 13 15%
Unknown 6 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 45%
Biochemistry, Genetics and Molecular Biology 11 13%
Mathematics 6 7%
Computer Science 5 6%
Medicine and Dentistry 3 3%
Other 11 13%
Unknown 11 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 09 July 2010.
All research outputs
#4,520,369
of 22,660,862 outputs
Outputs from BMC Systems Biology
#139
of 1,142 outputs
Outputs of similar age
#18,902
of 93,797 outputs
Outputs of similar age from BMC Systems Biology
#2
of 19 outputs
Altmetric has tracked 22,660,862 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 87% 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 93,797 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 79% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.