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Circadian mRNA expression: insights from modeling and transcriptomics

Overview of attention for article published in Cellular and Molecular Life Sciences, October 2015
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2 X users

Citations

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27 Dimensions

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53 Mendeley
Title
Circadian mRNA expression: insights from modeling and transcriptomics
Published in
Cellular and Molecular Life Sciences, October 2015
DOI 10.1007/s00018-015-2072-2
Pubmed ID
Authors

Sarah Lück, Pål O. Westermark

Abstract

Circadian clocks synchronize organisms to the 24 h rhythms of the environment. These clocks persist under constant conditions, have their origin at the cellular level, and produce an output of rhythmic mRNA expression affecting thousands of transcripts in many mammalian cell types. Here, we review the charting of circadian output rhythms in mRNA expression, focusing on mammals. We emphasize the challenges in statistics, interpretation, and quantitative descriptions that such investigations have faced and continue to face, and outline remaining outstanding questions.

X Demographics

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The data shown below were collected from the profiles of 2 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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 4%
Chile 1 2%
Switzerland 1 2%
Sweden 1 2%
Italy 1 2%
Unknown 47 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 30%
Researcher 11 21%
Student > Master 6 11%
Professor 4 8%
Student > Postgraduate 3 6%
Other 6 11%
Unknown 7 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 25%
Biochemistry, Genetics and Molecular Biology 10 19%
Neuroscience 6 11%
Engineering 3 6%
Medicine and Dentistry 3 6%
Other 7 13%
Unknown 11 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 04 November 2015.
All research outputs
#15,492,086
of 23,794,258 outputs
Outputs from Cellular and Molecular Life Sciences
#2,969
of 4,151 outputs
Outputs of similar age
#160,312
of 286,053 outputs
Outputs of similar age from Cellular and Molecular Life Sciences
#32
of 55 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,151 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 26th percentile – i.e., 26% 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 286,053 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.