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In the Driver’s Seat

Overview of attention for article published in Journal of Biological Rhythms, October 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

blogs
1 blog
twitter
11 tweeters

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
15 Mendeley
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Title
In the Driver’s Seat
Published in
Journal of Biological Rhythms, October 2015
DOI 10.1177/0748730415607321
Pubmed ID
Authors

Alejandro Montenegro-Montero, Luis F. Larrondo

Abstract

Circadian clocks drive daily oscillations in a variety of biological processes through the coordinate orchestration of precise gene expression programs. Global expression profiling experiments have suggested that a significant fraction of the transcriptome and proteome is under circadian control, and such output rhythms have historically been assumed to rely on the rhythmic transcription of these genes. Recent genome-wide studies, however, have challenged this long-held view and pointed to a major contribution of posttranscriptional regulation in driving oscillations at the messenger RNA (mRNA) level, while others have highlighted extensive clock translational regulation, regardless of mRNA rhythms. There are various examples of genes that are uniformly transcribed throughout the day but that exhibit rhythmic mRNA levels, and of flat mRNAs, with oscillating protein levels, and such observations have largely been considered to result from independent regulation at each step. These studies have thereby obviated any connections, or coupling, that might exist between the different steps of gene expression and the impact that any of them could have on subsequent ones. Here, we argue that due to both biological and technical reasons, the jury is still out on the determination of the relative contributions of each of the different stages of gene expression in regulating output molecular rhythms. In addition, we propose that through a variety of coupling mechanisms, gene transcription (even when apparently arrhythmic) might play a much relevant role in determining oscillations in gene expression than currently estimated, regulating rhythms at downstream steps. Furthermore, we posit that eukaryotic genomes regulate daily RNA polymerase II (RNAPII) recruitment and histone modifications genome-wide, setting the stage for global nascent transcription, but that tissue-specific mechanisms locally specify the different processes under clock control.

Twitter Demographics

The data shown below were collected from the profiles of 11 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 7%
Chile 1 7%
Netherlands 1 7%
Unknown 12 80%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 27%
Researcher 4 27%
Student > Bachelor 3 20%
Student > Postgraduate 2 13%
Other 1 7%
Other 1 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 40%
Biochemistry, Genetics and Molecular Biology 4 27%
Neuroscience 2 13%
Engineering 2 13%
Energy 1 7%
Other 0 0%

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 September 2019.
All research outputs
#1,312,674
of 13,532,900 outputs
Outputs from Journal of Biological Rhythms
#63
of 489 outputs
Outputs of similar age
#31,350
of 251,720 outputs
Outputs of similar age from Journal of Biological Rhythms
#2
of 11 outputs
Altmetric has tracked 13,532,900 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 489 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. 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 251,720 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 87% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.