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The Genetics of Circadian Rhythms

Overview of attention for book
The Genetics of Circadian Rhythms
Elsevier
Attention for Chapter: The Itty-Bitty Time Machine:Genetics of the Cyanobacterial Circadian Clock
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Article details
Chapter title
The Itty-Bitty Time Machine:Genetics of the Cyanobacterial Circadian Clock
Book title
The Genetics of Circadian Rhythms
Published in
Advances in genetics, October 2012
DOI 10.1016/b978-0-12-387690-4.00002-7
Pubmed ID
Book ISBNs
978-0-12-387690-4
Authors

Shannon R. Mackey, Susan S. Golden, Jayna L. Ditty

Abstract

The cyanobacterium Synechococcus elongatus PCC 7942 has been used as the prokaryotic model system for the study of circadian rhythms for the past two decades. Its genetic malleability has been instrumental in the discovery of key input, oscillator, and output components and has also provided monumental insights into the mechanism by which proteins function to maintain and dictate 24-h time. In addition, basic research into the prokaryotic system has led to interesting advances in eukaryotic circadian mechanisms. Undoubtedly, continued genetic and mutational analyses of this single-celled cyanobacterium will aid in teasing out the intricacies of the Kai-based circadian clock to advance our understanding of this system as well as other more "complex" systems.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 74 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 %
United States 1 1%
Portugal 1 1%
Germany 1 1%
Chile 1 1%
Unknown 70 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 22 30%
Researcher 14 19%
Student > Bachelor 9 12%
Professor 5 7%
Student > Doctoral Student 3 4%
Other 10 14%
Unknown 11 15%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 28 38%
Biochemistry, Genetics and Molecular Biology 14 19%
Chemistry 4 5%
Immunology and Microbiology 3 4%
Physics and Astronomy 2 3%
Other 8 11%
Unknown 15 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 11 October 2012.
All research outputs
#20,169,675
of 22,681,577 outputs
Outputs from Advances in genetics
#236
of 257 outputs
Outputs of similar age
#153,431
of 172,686 outputs
Outputs of similar age from Advances in genetics
#5
of 5 outputs
Altmetric has tracked 22,681,577 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 257 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 172,686 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.