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Comparative analysis of A-to-I editing in human and non-human primate brains reveals conserved patterns and context-dependent regulation of RNA editing

Overview of attention for article published in Molecular Brain, April 2017
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Title
Comparative analysis of A-to-I editing in human and non-human primate brains reveals conserved patterns and context-dependent regulation of RNA editing
Published in
Molecular Brain, April 2017
DOI 10.1186/s13041-017-0291-1
Pubmed ID
Authors

Richard T. O’Neil, Xiaojing Wang, Michael V. Morabito, Ronald B. Emeson

Abstract

A-to-I RNA editing is an important process for generating molecular diversity in the brain through modification of transcripts encoding several proteins important for neuronal signaling. We investigated the relationships between the extent of editing at multiple substrate transcripts (5HT2C, MGLUR4, CADPS, GLUR2, GLUR4, and GABRA3) in brain tissue obtained from adult humans and rhesus macaques. Several patterns emerged from these studies revealing conservation of editing across primate species. Additionally, variability in the human population allows us to make novel inferences about the co-regulation of editing at different editing sites and even across different brain regions.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Luxembourg 1 5%
Unknown 20 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 24%
Student > Bachelor 3 14%
Researcher 3 14%
Student > Doctoral Student 2 10%
Student > Master 2 10%
Other 4 19%
Unknown 2 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 38%
Biochemistry, Genetics and Molecular Biology 4 19%
Medicine and Dentistry 3 14%
Neuroscience 3 14%
Chemistry 1 5%
Other 0 0%
Unknown 2 10%
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 07 April 2017.
All research outputs
#15,452,475
of 22,962,258 outputs
Outputs from Molecular Brain
#677
of 1,117 outputs
Outputs of similar age
#194,271
of 309,589 outputs
Outputs of similar age from Molecular Brain
#6
of 9 outputs
Altmetric has tracked 22,962,258 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,117 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 32nd percentile – i.e., 32% 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 309,589 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.