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CGtag: complete genomics toolkit and annotation in a cloud-based Galaxy

Overview of attention for article published in Giga Science, January 2014
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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 (90th percentile)

Mentioned by

blogs
1 blog
twitter
11 X users
peer_reviews
1 peer review site
facebook
1 Facebook page

Citations

dimensions_citation
88 Dimensions

Readers on

mendeley
44 Mendeley
citeulike
4 CiteULike
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Title
CGtag: complete genomics toolkit and annotation in a cloud-based Galaxy
Published in
Giga Science, January 2014
DOI 10.1186/2047-217x-3-1
Pubmed ID
Authors

Saskia Hiltemann, Hailiang Mei, Mattias de Hollander, Ivo Palli, Peter van der Spek, Guido Jenster, Andrew Stubbs

Abstract

Complete Genomics provides an open-source suite of command-line tools for the analysis of their CG-formatted mapped sequencing files. Determination of; for example, the functional impact of detected variants, requires annotation with various databases that often require command-line and/or programming experience; thus, limiting their use to the average research scientist. We have therefore implemented this CG toolkit, together with a number of annotation, visualisation and file manipulation tools in Galaxy called CGtag (Complete Genomics Toolkit and Annotation in a Cloud-based Galaxy).

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 5%
Netherlands 2 5%
Hong Kong 2 5%
Switzerland 1 2%
United Kingdom 1 2%
Denmark 1 2%
United States 1 2%
Unknown 34 77%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 25%
Student > Ph. D. Student 9 20%
Student > Bachelor 6 14%
Other 5 11%
Professor > Associate Professor 3 7%
Other 9 20%
Unknown 1 2%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 41%
Biochemistry, Genetics and Molecular Biology 12 27%
Computer Science 4 9%
Medicine and Dentistry 2 5%
Engineering 2 5%
Other 5 11%
Unknown 1 2%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 05 May 2014.
All research outputs
#2,564,373
of 25,394,764 outputs
Outputs from Giga Science
#520
of 1,168 outputs
Outputs of similar age
#29,023
of 321,103 outputs
Outputs of similar age from Giga Science
#3
of 3 outputs
Altmetric has tracked 25,394,764 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 1,168 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. This one has gotten more attention than average, scoring higher than 55% 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 321,103 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 90% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.