↓ Skip to main content

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

Overview of attention for article published in Molecular BioSystems, January 2016
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#12 of 1,773)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
twitter
13 X users
patent
5 patents

Citations

dimensions_citation
1210 Dimensions

Readers on

mendeley
701 Mendeley
citeulike
2 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 701 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 <1%
United Kingdom 1 <1%
Singapore 1 <1%
Taiwan 1 <1%
Denmark 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 693 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 156 22%
Researcher 133 19%
Student > Master 75 11%
Student > Bachelor 61 9%
Student > Doctoral Student 50 7%
Other 80 11%
Unknown 146 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 215 31%
Agricultural and Biological Sciences 113 16%
Medicine and Dentistry 51 7%
Immunology and Microbiology 29 4%
Computer Science 26 4%
Other 87 12%
Unknown 180 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 40. 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 18 April 2024.
All research outputs
#1,044,206
of 25,756,911 outputs
Outputs from Molecular BioSystems
#12
of 1,773 outputs
Outputs of similar age
#17,682
of 401,844 outputs
Outputs of similar age from Molecular BioSystems
#2
of 212 outputs
Altmetric has tracked 25,756,911 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,773 research outputs from this source. They receive a mean Attention Score of 3.9. 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 401,844 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 95% of its contemporaries.
We're also able to compare this research output to 212 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 99% of its contemporaries.