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Galaxy tools and workflows for sequence analysis with applications in molecular plant pathology

Overview of attention for article published in PeerJ, September 2013
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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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

blogs
1 blog
twitter
39 X users
peer_reviews
1 peer review site
facebook
2 Facebook pages
googleplus
3 Google+ users

Citations

dimensions_citation
140 Dimensions

Readers on

mendeley
204 Mendeley
citeulike
4 CiteULike
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Title
Galaxy tools and workflows for sequence analysis with applications in molecular plant pathology
Published in
PeerJ, September 2013
DOI 10.7717/peerj.167
Pubmed ID
Authors

Peter J.A. Cock, Björn A. Grüning, Konrad Paszkiewicz, Leighton Pritchard

X Demographics

X Demographics

The data shown below were collected from the profiles of 39 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 204 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 4 2%
United States 4 2%
France 2 <1%
United Kingdom 2 <1%
Switzerland 1 <1%
Sweden 1 <1%
Germany 1 <1%
Argentina 1 <1%
Colombia 1 <1%
Other 0 0%
Unknown 187 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 58 28%
Student > Ph. D. Student 37 18%
Student > Master 21 10%
Student > Bachelor 19 9%
Other 12 6%
Other 28 14%
Unknown 29 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 86 42%
Biochemistry, Genetics and Molecular Biology 42 21%
Computer Science 18 9%
Engineering 8 4%
Environmental Science 5 2%
Other 11 5%
Unknown 34 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 34. 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 08 October 2018.
All research outputs
#1,198,128
of 26,017,215 outputs
Outputs from PeerJ
#1,204
of 15,303 outputs
Outputs of similar age
#10,419
of 217,541 outputs
Outputs of similar age from PeerJ
#10
of 73 outputs
Altmetric has tracked 26,017,215 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 15,303 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.1. This one has done particularly well, scoring higher than 92% 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 217,541 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 95% of its contemporaries.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.