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Galaxy tools to study genome diversity

Overview of attention for article published in Giga Science, December 2013
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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 (93rd percentile)

Mentioned by

blogs
1 blog
twitter
20 X users
peer_reviews
1 peer review site
googleplus
1 Google+ user

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
105 Mendeley
citeulike
4 CiteULike
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Title
Galaxy tools to study genome diversity
Published in
Giga Science, December 2013
DOI 10.1186/2047-217x-2-17
Pubmed ID
Authors

Oscar C Bedoya-Reina, Aakrosh Ratan, Richard Burhans, Hie Lim Kim, Belinda Giardine, Cathy Riemer, Qunhua Li, Thomas L Olson, Thomas P Loughran, Bridgett M vonHoldt, George H Perry, Stephan C Schuster, Webb Miller

Abstract

Intra-species genetic variation can be used to investigate population structure, selection, and gene flow in non-model vertebrates; and due to the plummeting costs for genome sequencing, it is now possible for small labs to obtain full-genome variation data from their species of interest. However, those labs may not have easy access to, and familiarity with, computational tools to analyze those data.

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 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 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 4 4%
United States 3 3%
Hong Kong 3 3%
Australia 1 <1%
Sweden 1 <1%
Netherlands 1 <1%
Iran, Islamic Republic of 1 <1%
New Zealand 1 <1%
China 1 <1%
Other 1 <1%
Unknown 88 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 30 29%
Student > Ph. D. Student 22 21%
Student > Master 12 11%
Student > Doctoral Student 9 9%
Student > Bachelor 8 8%
Other 18 17%
Unknown 6 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 50 48%
Biochemistry, Genetics and Molecular Biology 21 20%
Computer Science 8 8%
Immunology and Microbiology 4 4%
Engineering 3 3%
Other 7 7%
Unknown 12 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 February 2017.
All research outputs
#1,880,276
of 25,405,598 outputs
Outputs from Giga Science
#357
of 1,168 outputs
Outputs of similar age
#20,809
of 319,433 outputs
Outputs of similar age from Giga Science
#3
of 3 outputs
Altmetric has tracked 25,405,598 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% 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 69% 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 319,433 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 93% 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.