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CAGExploreR: an R package for the analysis and visualization of promoter dynamics across multiple experiments

Overview of attention for article published in Bioinformatics, March 2014
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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 (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

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12 X users
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1 Google+ user

Citations

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48 Mendeley
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3 CiteULike
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Title
CAGExploreR: an R package for the analysis and visualization of promoter dynamics across multiple experiments
Published in
Bioinformatics, March 2014
DOI 10.1093/bioinformatics/btu125
Pubmed ID
Authors

Emmanuel Dimont, Oliver Hofmann, Shannan J Ho Sui, Alistair R R Forrest, Hideya Kawaji, Winston Hide

Abstract

Alternate promoter usage is an important molecular mechanism for generating RNA and protein diversity. Cap Analysis Gene Expression (CAGE) is a powerful approach for revealing the multiplicity of transcription start site (TSS) events across experiments and conditions. An understanding of the dynamics of TSS choice across these conditions requires both sensitive quantification and comparative visualization. We have developed CAGExploreR, an R package to detect and visualize changes in the use of specific TSS in wider promoter regions in the context of changes in overall gene expression when comparing different CAGE samples. These changes provide insight into the modification of transcript isoform generation and regulatory network alterations associated with cell types and conditions. CAGExploreR is based on the FANTOM5 and MPromDb promoter set definitions but can also work with user-supplied regions. The package compares multiple CAGE libraries simultaneously. Supplementary Materials describe methods in detail, and a vignette demonstrates a workflow with a real data example.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 2 4%
United Kingdom 2 4%
Italy 1 2%
Denmark 1 2%
United States 1 2%
Unknown 41 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 38%
Student > Ph. D. Student 10 21%
Professor > Associate Professor 5 10%
Student > Master 4 8%
Student > Bachelor 3 6%
Other 7 15%
Unknown 1 2%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 60%
Biochemistry, Genetics and Molecular Biology 9 19%
Computer Science 5 10%
Medicine and Dentistry 2 4%
Neuroscience 1 2%
Other 0 0%
Unknown 2 4%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 13 June 2017.
All research outputs
#3,881,389
of 23,342,092 outputs
Outputs from Bioinformatics
#2,536
of 8,020 outputs
Outputs of similar age
#38,321
of 225,926 outputs
Outputs of similar age from Bioinformatics
#46
of 158 outputs
Altmetric has tracked 23,342,092 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,020 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has gotten more attention than average, scoring higher than 68% 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 225,926 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 83% of its contemporaries.
We're also able to compare this research output to 158 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 70% of its contemporaries.