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

Overview of attention for article published in Molecular BioSystems, November 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#16 of 1,045)
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

blogs
1 blog
twitter
7 tweeters

Readers on

mendeley
55 Mendeley
citeulike
1 CiteULike
Title
ReactomePA: an R/Bioconductor package for reactome pathway analysis and visualization
Published in
Molecular BioSystems, November 2015
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 7 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Germany 1 2%
United Kingdom 1 2%
Brazil 1 2%
Denmark 1 2%
Taiwan 1 2%
United States 1 2%
Hungary 1 2%
Singapore 1 2%
Other 0 0%
Unknown 46 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 38%
Student > Ph. D. Student 17 31%
Student > Master 6 11%
Student > Doctoral Student 3 5%
Student > Bachelor 2 4%
Other 3 5%
Unknown 3 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 44%
Biochemistry, Genetics and Molecular Biology 11 20%
Computer Science 6 11%
Medicine and Dentistry 4 7%
Unspecified 2 4%
Other 5 9%
Unknown 3 5%

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 29 June 2017.
All research outputs
#549,809
of 8,002,981 outputs
Outputs from Molecular BioSystems
#16
of 1,045 outputs
Outputs of similar age
#27,167
of 293,099 outputs
Outputs of similar age from Molecular BioSystems
#4
of 105 outputs
Altmetric has tracked 8,002,981 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 1,045 research outputs from this source. They receive a mean Attention Score of 2.4. This one has done particularly well, scoring higher than 98% 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 293,099 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 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 96% of its contemporaries.