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Combinatorial Control of mRNA Fates by RNA-Binding Proteins and Non-Coding RNAs

Overview of attention for article published in Biomolecules, September 2015
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Article details
Title
Combinatorial Control of mRNA Fates by RNA-Binding Proteins and Non-Coding RNAs
Published in
Biomolecules, September 2015
DOI 10.3390/biom5042207
Pubmed ID
Authors
Abstract

Post-transcriptional control of gene expression is mediated by RNA-binding proteins (RBPs) and small non-coding RNAs (e.g., microRNAs) that bind to distinct elements in their mRNA targets. Here, we review recent examples describing the synergistic and/or antagonistic effects mediated by RBPs and miRNAs to determine the localisation, stability and translation of mRNAs in mammalian cells. From these studies, it is becoming increasingly apparent that dynamic rearrangements of RNA-protein complexes could have profound implications in human cancer, in synaptic plasticity, and in cellular differentiation.

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X Demographics

X Demographics

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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 114 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%
Unknown 113 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 36 32%
Researcher 14 12%
Student > Bachelor 11 10%
Student > Master 6 5%
Student > Doctoral Student 5 4%
Other 14 12%
Unknown 28 25%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 41 36%
Agricultural and Biological Sciences 28 25%
Medicine and Dentistry 5 4%
Neuroscience 5 4%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Other 5 4%
Unknown 28 25%
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 27 September 2015.
All research outputs
#22,695,529
of 27,784,943 outputs
Outputs from Biomolecules
#4,271
of 5,785 outputs
Outputs of similar age
#214,332
of 288,275 outputs
Outputs of similar age from Biomolecules
#35
of 48 outputs
Altmetric has tracked 27,784,943 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,785 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 12th percentile – i.e., 12% 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 288,275 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.