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Osiris: accessible and reproducible phylogenetic and phylogenomic analyses within the Galaxy workflow management system

Overview of attention for article published in BMC Bioinformatics, July 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

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12 X users

Citations

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37 Dimensions

Readers on

mendeley
74 Mendeley
citeulike
4 CiteULike
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Title
Osiris: accessible and reproducible phylogenetic and phylogenomic analyses within the Galaxy workflow management system
Published in
BMC Bioinformatics, July 2014
DOI 10.1186/1471-2105-15-230
Pubmed ID
Authors

Todd H Oakley, Markos A Alexandrou, Roger Ngo, M Sabrina Pankey, Celia K C Churchill, William Chen, Karl B Lopker

Abstract

Phylogenetic tools and 'tree-thinking' approaches increasingly permeate all biological research. At the same time, phylogenetic data sets are expanding at breakneck pace, facilitated by increasingly economical sequencing technologies. Therefore, there is an urgent need for accessible, modular, and sharable tools for phylogenetic analysis.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 3 4%
Germany 2 3%
Chile 1 1%
Norway 1 1%
Australia 1 1%
Sweden 1 1%
United Kingdom 1 1%
New Zealand 1 1%
Egypt 1 1%
Other 2 3%
Unknown 60 81%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 34%
Student > Ph. D. Student 17 23%
Professor 5 7%
Student > Master 5 7%
Student > Bachelor 4 5%
Other 12 16%
Unknown 6 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 46%
Biochemistry, Genetics and Molecular Biology 11 15%
Computer Science 8 11%
Mathematics 2 3%
Materials Science 2 3%
Other 10 14%
Unknown 7 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 13 April 2017.
All research outputs
#4,715,483
of 23,342,092 outputs
Outputs from BMC Bioinformatics
#1,776
of 7,388 outputs
Outputs of similar age
#45,849
of 229,000 outputs
Outputs of similar age from BMC Bioinformatics
#40
of 148 outputs
Altmetric has tracked 23,342,092 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,388 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 75% 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 229,000 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 79% of its contemporaries.
We're also able to compare this research output to 148 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.