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Circadian rhythms. Decoupling circadian clock protein turnover from circadian period determination.

Overview of attention for article published in Science, January 2015
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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)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

news
4 news outlets
blogs
1 blog
twitter
51 tweeters
facebook
1 Facebook page
wikipedia
2 Wikipedia pages
googleplus
10 Google+ users
video
1 video uploader

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
142 Mendeley
citeulike
3 CiteULike
Title
Circadian rhythms. Decoupling circadian clock protein turnover from circadian period determination.
Published in
Science, January 2015
DOI 10.1126/science.1257277
Pubmed ID
Authors

Luis F. Larrondo, Consuelo Olivares-Yañez, Christopher L. Baker, Jennifer J. Loros, Jay C. Dunlap

Abstract

The mechanistic basis of eukaryotic circadian oscillators in model systems as diverse as Neurospora, Drosophila, and mammalian cells is thought to be a transcription-and-translation-based negative feedback loop, wherein progressive and controlled phosphorylation of one or more negative elements ultimately elicits their own proteasome-mediated degradation, thereby releasing negative feedback and determining circadian period length. The Neurospora crassa circadian negative element FREQUENCY (FRQ) exemplifies such proteins; it is progressively phosphorylated at more than 100 sites, and strains bearing alleles of frq with anomalous phosphorylation display abnormal stability of FRQ that is well correlated with altered periods or apparent arrhythmicity. Unexpectedly, we unveiled normal circadian oscillations that reflect the allelic state of frq but that persist in the absence of typical degradation of FRQ. This manifest uncoupling of negative element turnover from circadian period length determination is not consistent with the consensus eukaryotic circadian model.

Twitter Demographics

The data shown below were collected from the profiles of 51 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 3%
United States 2 1%
Chile 2 1%
Germany 2 1%
Mexico 1 <1%
France 1 <1%
Netherlands 1 <1%
Canada 1 <1%
Unknown 128 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 43 30%
Researcher 30 21%
Student > Bachelor 22 15%
Student > Postgraduate 11 8%
Professor 8 6%
Other 28 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 70 49%
Biochemistry, Genetics and Molecular Biology 27 19%
Unspecified 12 8%
Medicine and Dentistry 10 7%
Neuroscience 5 4%
Other 18 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 77. 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 06 May 2018.
All research outputs
#175,675
of 12,088,915 outputs
Outputs from Science
#5,417
of 54,233 outputs
Outputs of similar age
#5,122
of 273,983 outputs
Outputs of similar age from Science
#201
of 766 outputs
Altmetric has tracked 12,088,915 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 54,233 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.7. This one has done particularly well, scoring higher than 90% 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 273,983 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 766 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 73% of its contemporaries.