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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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

blogs
2 blogs
twitter
40 tweeters
facebook
2 Facebook pages
f1000
1 research highlight platform

Readers on

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

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. ogriffit@genome.wustl.edu, mgriffit@genome.wustl.edu.

Twitter Demographics

The data shown below were collected from the profiles of 40 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 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 4%
Spain 2 2%
Germany 1 1%
France 1 1%
Poland 1 1%
Brazil 1 1%
China 1 1%
Belgium 1 1%
Sweden 1 1%
Other 4 4%
Unknown 81 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 35%
Researcher 31 32%
Student > Bachelor 8 8%
Student > Master 8 8%
Other 7 7%
Other 10 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 48 49%
Biochemistry, Genetics and Molecular Biology 25 26%
Computer Science 12 12%
Medicine and Dentistry 9 9%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Other 3 3%

Attention Score in Context

This research output has an Altmetric Attention Score of 39. 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 28 June 2017.
All research outputs
#242,207
of 8,435,952 outputs
Outputs from Bioinformatics
#82
of 5,795 outputs
Outputs of similar age
#13,853
of 272,295 outputs
Outputs of similar age from Bioinformatics
#6
of 223 outputs
Altmetric has tracked 8,435,952 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,795 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. 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 272,295 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 94% of its contemporaries.
We're also able to compare this research output to 223 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 97% of its contemporaries.