↓ Skip to main content

CIRCUS: a package for Circos display of structural genome variations from paired-end and mate-pair sequencing data

Overview of attention for article published in BMC Bioinformatics, June 2014
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

twitter
26 X users

Citations

dimensions_citation
42 Dimensions

Readers on

mendeley
117 Mendeley
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
CIRCUS: a package for Circos display of structural genome variations from paired-end and mate-pair sequencing data
Published in
BMC Bioinformatics, June 2014
DOI 10.1186/1471-2105-15-198
Pubmed ID
Authors

Delphine Naquin, Yves d’Aubenton-Carafa, Claude Thermes, Maud Silvain

Abstract

Detection of large genomic rearrangements, such as large indels, duplications or translocations is now commonly achieved by next generation sequencing (NGS) approaches. Recently, several tools have been developed to analyze NGS data but the resulting files are difficult to interpret without an additional visualization step. Circos (Genome Res, 19:1639-1645, 2009), a Perl script, is a powerful visualization software that requires setting up numerous configuration files with a large number of parameters to handle. R packages like RCircos (BMC Bioinformatics, 14:244, 2013) or ggbio (Genome Biol, 13:R77, 2012) provide functions to display genomic data as circular Circos-like plots. However, these tools are very general and lack the functions needed to filter, format and adjust specific input genomic data.

X Demographics

X Demographics

The data shown below were collected from the profiles of 26 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 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Norway 2 2%
United States 2 2%
France 1 <1%
Australia 1 <1%
United Kingdom 1 <1%
Sweden 1 <1%
Mexico 1 <1%
Tunisia 1 <1%
Unknown 107 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 27%
Student > Ph. D. Student 27 23%
Student > Master 14 12%
Student > Bachelor 11 9%
Professor > Associate Professor 5 4%
Other 16 14%
Unknown 12 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 48 41%
Biochemistry, Genetics and Molecular Biology 24 21%
Computer Science 11 9%
Medicine and Dentistry 4 3%
Environmental Science 3 3%
Other 11 9%
Unknown 16 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 April 2019.
All research outputs
#2,766,036
of 25,706,302 outputs
Outputs from BMC Bioinformatics
#753
of 7,735 outputs
Outputs of similar age
#26,791
of 243,667 outputs
Outputs of similar age from BMC Bioinformatics
#16
of 154 outputs
Altmetric has tracked 25,706,302 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,735 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 90% 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 243,667 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 154 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.