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Handshakes and Fights: The Regulatory Interplay of RNA-Binding Proteins

Overview of attention for article published in Frontiers in Molecular Biosciences, September 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

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1 blog
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10 X users
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1 Wikipedia page

Citations

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119 Dimensions

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188 Mendeley
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Title
Handshakes and Fights: The Regulatory Interplay of RNA-Binding Proteins
Published in
Frontiers in Molecular Biosciences, September 2017
DOI 10.3389/fmolb.2017.00067
Pubmed ID
Authors

Erik Dassi

Abstract

What drives the flow of signals controlling the outcome of post-transcriptional regulation of gene expression? This regulatory layer, presiding to processes ranging from splicing to mRNA stability and localization, is a key determinant of protein levels and thus cell phenotypes. RNA-binding proteins (RBPs) form a remarkable army of post-transcriptional regulators, strong of more than 1,500 genes implementing this expression fine-tuning plan and implicated in both cell physiology and pathology. RBPs can bind and control a wide array of RNA targets. This sheer amount of interactions form complex regulatory networks (PTRNs) where the action of individual RBPs cannot be easily untangled from each other. While past studies have mostly focused on the action of individual RBPs on their targets, we are now observing an increasing amount of evidence describing the occurrence of interactions between RBPs, defining how common target RNAs are regulated. This suggests that the flow of signals in PTRNs is driven by the intertwined contribution of multiple RBPs, concurrently acting on each of their targets. Understanding how RBPs cooperate and compete is thus of paramount importance to chart the wiring of PTRNs and their impact on cell phenotypes. Here we review the current knowledge about patterns of RBP interaction and attempt at describing their general principles. We also discuss future directions which should be taken to reach a comprehensive understanding of this fundamental aspect of gene expression regulation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 188 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 188 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 61 32%
Student > Master 27 14%
Researcher 22 12%
Student > Bachelor 16 9%
Student > Doctoral Student 7 4%
Other 19 10%
Unknown 36 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 74 39%
Agricultural and Biological Sciences 45 24%
Neuroscience 8 4%
Chemistry 5 3%
Immunology and Microbiology 3 2%
Other 14 7%
Unknown 39 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 16 November 2020.
All research outputs
#2,056,474
of 23,003,906 outputs
Outputs from Frontiers in Molecular Biosciences
#104
of 3,859 outputs
Outputs of similar age
#42,255
of 321,103 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#1
of 15 outputs
Altmetric has tracked 23,003,906 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,859 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 97% 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 321,103 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 86% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.