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PIPE-CLIP: a comprehensive online tool for CLIP-seq data analysis

Overview of attention for article published in Genome Biology, January 2014
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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

twitter
17 X users
googleplus
1 Google+ user

Readers on

mendeley
172 Mendeley
citeulike
3 CiteULike
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Title
PIPE-CLIP: a comprehensive online tool for CLIP-seq data analysis
Published in
Genome Biology, January 2014
DOI 10.1186/gb-2014-15-1-r18
Pubmed ID
Authors

Beibei Chen, Jonghyun Yun, Min Soo Kim, Joshua T Mendell, Yang Xie

Abstract

CLIP-seq is widely used to study genome-wide interactions between RNA-binding proteins and RNAs. However, there are few tools available to analyze CLIP-seq data, thus creating a bottleneck to the implementation of this methodology. Here, we present PIPE-CLIP, a Galaxy framework-based comprehensive online pipeline for reliable analysis of data generated by three types of CLIP-seq protocol: HITS-CLIP, PAR-CLIP and iCLIP. PIPE-CLIP provides both data processing and statistical analysis to determine candidate cross-linking regions, which are comparable to those regions identified from the original studies or using existing computational tools. PIPE-CLIP is available at http://pipeclip.qbrc.org/.

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Germany 2 1%
Sweden 1 <1%
Austria 1 <1%
Japan 1 <1%
Denmark 1 <1%
Unknown 163 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 64 37%
Researcher 45 26%
Student > Master 17 10%
Professor 6 3%
Student > Bachelor 6 3%
Other 20 12%
Unknown 14 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 94 55%
Biochemistry, Genetics and Molecular Biology 39 23%
Computer Science 12 7%
Pharmacology, Toxicology and Pharmaceutical Science 2 1%
Mathematics 2 1%
Other 8 5%
Unknown 15 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 02 August 2016.
All research outputs
#3,268,901
of 25,374,647 outputs
Outputs from Genome Biology
#2,361
of 4,467 outputs
Outputs of similar age
#37,103
of 320,913 outputs
Outputs of similar age from Genome Biology
#75
of 123 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 47th percentile – i.e., 47% 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 320,913 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 123 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.