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Identification of high-confidence RNA regulatory elements by combinatorial classification of RNA–protein binding sites

Overview of attention for article published in Genome Biology, September 2017
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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 (88th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
9 X users

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
125 Mendeley
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Title
Identification of high-confidence RNA regulatory elements by combinatorial classification of RNA–protein binding sites
Published in
Genome Biology, September 2017
DOI 10.1186/s13059-017-1298-8
Pubmed ID
Authors

Yang Eric Li, Mu Xiao, Binbin Shi, Yu-Cheng T. Yang, Dong Wang, Fei Wang, Marco Marcia, Zhi John Lu

Abstract

Crosslinking immunoprecipitation sequencing (CLIP-seq) technologies have enabled researchers to characterize transcriptome-wide binding sites of RNA-binding protein (RBP) with high resolution. We apply a soft-clustering method, RBPgroup, to various CLIP-seq datasets to group together RBPs that specifically bind the same RNA sites. Such combinatorial clustering of RBPs helps interpret CLIP-seq data and suggests functional RNA regulatory elements. Furthermore, we validate two RBP-RBP interactions in cell lines. Our approach links proteins and RNA motifs known to possess similar biochemical and cellular properties and can, when used in conjunction with additional experimental data, identify high-confidence RBP groups and their associated RNA regulatory elements.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 125 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 34%
Researcher 23 18%
Student > Master 7 6%
Student > Bachelor 7 6%
Professor > Associate Professor 6 5%
Other 19 15%
Unknown 21 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 48 38%
Agricultural and Biological Sciences 29 23%
Computer Science 16 13%
Medicine and Dentistry 2 2%
Neuroscience 2 2%
Other 3 2%
Unknown 25 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 15 September 2017.
All research outputs
#1,933,304
of 25,382,440 outputs
Outputs from Genome Biology
#1,620
of 4,468 outputs
Outputs of similar age
#36,672
of 323,665 outputs
Outputs of similar age from Genome Biology
#35
of 57 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 92nd 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 63% 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 323,665 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 88% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.