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ggbio: an R package for extending the grammar of graphics for genomic data

Overview of attention for article published in Genome Biology (Online Edition), January 2012
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

blogs
2 blogs
twitter
40 tweeters
wikipedia
1 Wikipedia page
googleplus
3 Google+ users

Citations

dimensions_citation
203 Dimensions

Readers on

mendeley
444 Mendeley
citeulike
14 CiteULike
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Title
ggbio: an R package for extending the grammar of graphics for genomic data
Published in
Genome Biology (Online Edition), January 2012
DOI 10.1186/gb-2012-13-8-r77
Pubmed ID
Authors

Tengfei Yin, Dianne Cook, Michael Lawrence

Abstract

We introduce ggbio, a new methodology to visualize and explore genomics annotations and high-throughput data. The plots provide detailed views of genomic regions, summary views of sequence alignments and splicing patterns, and genome-wide overviews with karyogram, circular and grand linear layouts. The methods leverage the statistical functionality available in R, the grammar of graphics and the data handling capabilities of the Bioconductor project. The plots are specified within a modular framework that enables users to construct plots in a systematic way, and are generated directly from Bioconductor data structures. The ggbio R package is available at http://www.bioconductor.org/packages/2.11/bioc/html/ggbio.html.

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 444 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 18 4%
Brazil 3 <1%
Germany 3 <1%
United Kingdom 3 <1%
Spain 3 <1%
Canada 2 <1%
France 2 <1%
Switzerland 2 <1%
Colombia 2 <1%
Other 10 2%
Unknown 396 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 133 30%
Student > Ph. D. Student 128 29%
Student > Master 45 10%
Student > Bachelor 26 6%
Student > Doctoral Student 20 5%
Other 77 17%
Unknown 15 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 263 59%
Biochemistry, Genetics and Molecular Biology 81 18%
Computer Science 23 5%
Medicine and Dentistry 15 3%
Mathematics 7 2%
Other 29 7%
Unknown 26 6%

Attention Score in Context

This research output has an Altmetric Attention Score of 41. 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 15 August 2019.
All research outputs
#610,720
of 17,351,915 outputs
Outputs from Genome Biology (Online Edition)
#537
of 3,593 outputs
Outputs of similar age
#3,702
of 138,783 outputs
Outputs of similar age from Genome Biology (Online Edition)
#2
of 7 outputs
Altmetric has tracked 17,351,915 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,593 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one has done well, scoring higher than 85% 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 138,783 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 97% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.