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GenVisR: Genomic Visualizations in R

Overview of attention for article published in Bioinformatics, June 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

blogs
2 blogs
twitter
33 X users
facebook
2 Facebook pages
f1000
1 research highlight platform

Citations

dimensions_citation
254 Dimensions

Readers on

mendeley
208 Mendeley
citeulike
6 CiteULike
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Title
GenVisR: Genomic Visualizations in R
Published in
Bioinformatics, June 2016
DOI 10.1093/bioinformatics/btw325
Pubmed ID
Authors

Zachary L Skidmore, Alex H Wagner, Robert Lesurf, Katie M Campbell, Jason Kunisaki, Obi L Griffith, Malachi Griffith

Abstract

Visualizing and summarizing data from genomic studies continues to be a challenge. Here we introduce the GenVisR package to addresses this challenge by providing highly customizable, publication-quality graphics focused on cohort level genome analyses. GenVisR provides a rapid and easy-to-use suite of genomic visualization tools, while maintaining a high degree of flexibility by leveraging the abilities of ggplot2 and Bioconductor. GenVisR is an R package available via Bioconductor (https://bioconductor.org/packages/GenVisR) under GPLv3. Support is available via GitHub (https://github.com/griffithlab/GenVisR/issues) and the Bioconductor support website. [email protected], [email protected].

X Demographics

X Demographics

The data shown below were collected from the profiles of 33 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 208 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Spain 2 <1%
France 2 <1%
Brazil 1 <1%
Sweden 1 <1%
Germany 1 <1%
Belgium 1 <1%
Netherlands 1 <1%
Greece 1 <1%
Other 1 <1%
Unknown 193 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 54 26%
Researcher 53 25%
Student > Master 26 13%
Student > Bachelor 17 8%
Other 13 6%
Other 26 13%
Unknown 19 9%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 62 30%
Agricultural and Biological Sciences 60 29%
Medicine and Dentistry 29 14%
Computer Science 19 9%
Immunology and Microbiology 2 <1%
Other 11 5%
Unknown 25 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 33. 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 11 April 2019.
All research outputs
#1,214,929
of 25,374,917 outputs
Outputs from Bioinformatics
#415
of 12,809 outputs
Outputs of similar age
#22,520
of 360,136 outputs
Outputs of similar age from Bioinformatics
#11
of 210 outputs
Altmetric has tracked 25,374,917 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 12,809 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done particularly well, scoring higher than 96% 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 360,136 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 210 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 94% of its contemporaries.