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Population and allelic variation of A-to-I RNA editing in human transcriptomes

Overview of attention for article published in Genome Biology, July 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 (90th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

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1 news outlet
blogs
1 blog
twitter
16 X users

Citations

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42 Dimensions

Readers on

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71 Mendeley
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1 CiteULike
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Title
Population and allelic variation of A-to-I RNA editing in human transcriptomes
Published in
Genome Biology, July 2017
DOI 10.1186/s13059-017-1270-7
Pubmed ID
Authors

Eddie Park, Jiguang Guo, Shihao Shen, Levon Demirdjian, Ying Nian Wu, Lan Lin, Yi Xing

Abstract

A-to-I RNA editing is an important step in RNA processing in which specific adenosines in some RNA molecules are post-transcriptionally modified to inosines. RNA editing has emerged as a widespread mechanism for generating transcriptome diversity. However, there remain significant knowledge gaps about the variation and function of RNA editing. In order to determine the influence of genetic variation on A-to-I RNA editing, we integrate genomic and transcriptomic data from 445 human lymphoblastoid cell lines by combining an RNA editing QTL (edQTL) analysis with an allele-specific RNA editing (ASED) analysis. We identify 1054 RNA editing events associated with cis genetic polymorphisms. Additionally, we find that a subset of these polymorphisms is linked to genome-wide association study signals of complex traits or diseases. Finally, compared to random cis polymorphisms, polymorphisms associated with RNA editing variation are located closer spatially to their respective editing sites and have a more pronounced impact on RNA secondary structure. Our study reveals widespread cis variation in RNA editing among genetically distinct individuals and sheds light on possible phenotypic consequences of such variation on complex traits and diseases.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 71 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 35%
Researcher 12 17%
Student > Bachelor 5 7%
Student > Master 4 6%
Professor > Associate Professor 3 4%
Other 6 8%
Unknown 16 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 25 35%
Agricultural and Biological Sciences 20 28%
Medicine and Dentistry 4 6%
Mathematics 3 4%
Immunology and Microbiology 3 4%
Other 1 1%
Unknown 15 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 03 August 2022.
All research outputs
#1,651,401
of 25,382,440 outputs
Outputs from Genome Biology
#1,349
of 4,468 outputs
Outputs of similar age
#31,891
of 326,762 outputs
Outputs of similar age from Genome Biology
#26
of 63 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,468 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 69% 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 326,762 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.