↓ Skip to main content

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

Overview of attention for article published in Genome Biology, August 2012
Altmetric Badge

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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

blogs
2 blogs
twitter
34 X users
wikipedia
1 Wikipedia page
googleplus
3 Google+ users

Citations

dimensions_citation
268 Dimensions

Readers on

mendeley
468 Mendeley
citeulike
14 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
ggbio: an R package for extending the grammar of graphics for genomic data
Published in
Genome Biology, August 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 34 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 468 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 18 4%
Germany 3 <1%
Spain 3 <1%
United Kingdom 3 <1%
Brazil 3 <1%
France 2 <1%
Colombia 2 <1%
Canada 2 <1%
Australia 1 <1%
Other 10 2%
Unknown 421 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 136 29%
Student > Ph. D. Student 135 29%
Student > Master 45 10%
Student > Bachelor 26 6%
Student > Doctoral Student 22 5%
Other 79 17%
Unknown 25 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 270 58%
Biochemistry, Genetics and Molecular Biology 86 18%
Computer Science 24 5%
Medicine and Dentistry 16 3%
Mathematics 7 1%
Other 31 7%
Unknown 34 7%
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 03 December 2023.
All research outputs
#1,028,223
of 25,401,381 outputs
Outputs from Genome Biology
#740
of 4,470 outputs
Outputs of similar age
#5,706
of 187,894 outputs
Outputs of similar age from Genome Biology
#6
of 57 outputs
Altmetric has tracked 25,401,381 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 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 83% 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 187,894 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 96% of its contemporaries.
We're also able to compare this research output to 57 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 91% of its contemporaries.