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ReactomePA: an R/Bioconductor package for reactome pathway analysis and visualization

Overview of attention for article published in Molecular BioSystems, January 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#9 of 1,326)
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

blogs
1 blog
twitter
10 tweeters
patent
2 patents

Citations

dimensions_citation
168 Dimensions

Readers on

mendeley
217 Mendeley
citeulike
1 CiteULike
Title
ReactomePA: an R/Bioconductor package for reactome pathway analysis and visualization
Published in
Molecular BioSystems, January 2016
DOI 10.1039/c5mb00663e
Pubmed ID
Authors

Guangchuang Yu, Qing-Yu He

Abstract

Reactome is a manually curated pathway annotation database for unveiling high-order biological pathways from high-throughput data. ReactomePA is an R/Bioconductor package providing enrichment analyses, including hypergeometric test and gene set enrichment analyses. A functional analysis can be applied to the genomic coordination obtained from a sequencing experiment to analyze the functional significance of genomic loci including cis-regulatory elements and non-coding regions. Comparison among different experiments is also supported. Moreover, ReactomePA provides several visualization functions to produce highly customizable, publication-quality figures. The source code and documents of ReactomePA are freely available through Bioconductor ().

Twitter Demographics

The data shown below were collected from the profiles of 10 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 217 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 <1%
Spain 1 <1%
Denmark 1 <1%
United Kingdom 1 <1%
Taiwan 1 <1%
United States 1 <1%
Hungary 1 <1%
Singapore 1 <1%
Unknown 208 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 61 28%
Student > Ph. D. Student 52 24%
Student > Master 25 12%
Student > Bachelor 20 9%
Student > Doctoral Student 17 8%
Other 42 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 65 30%
Agricultural and Biological Sciences 62 29%
Unspecified 27 12%
Medicine and Dentistry 21 10%
Computer Science 15 7%
Other 27 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 30 May 2019.
All research outputs
#691,733
of 13,157,264 outputs
Outputs from Molecular BioSystems
#9
of 1,326 outputs
Outputs of similar age
#23,600
of 353,803 outputs
Outputs of similar age from Molecular BioSystems
#2
of 105 outputs
Altmetric has tracked 13,157,264 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,326 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done particularly well, scoring higher than 99% 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 353,803 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 93% of its contemporaries.
We're also able to compare this research output to 105 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.