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AXIOME: automated exploration of microbial diversity

Overview of attention for article published in Giga Science, March 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 (95th percentile)

Mentioned by

blogs
1 blog
twitter
28 X users
peer_reviews
1 peer review site
facebook
2 Facebook pages

Citations

dimensions_citation
45 Dimensions

Readers on

mendeley
149 Mendeley
citeulike
2 CiteULike
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Title
AXIOME: automated exploration of microbial diversity
Published in
Giga Science, March 2013
DOI 10.1186/2047-217x-2-3
Pubmed ID
Authors

Michael DJ Lynch, Andre P Masella, Michael W Hall, Andrea K Bartram, Josh D Neufeld

Abstract

Although high-throughput sequencing of small subunit rRNA genes has revolutionized our understanding of microbial ecosystems, these technologies generate data at depths that benefit from automated analysis. Here we present AXIOME (Automation, eXtension, and Integration Of Microbial Ecology), a highly flexible and extensible management tool for popular microbial ecology analysis packages that promotes reproducibility and customization in microbial research.

X Demographics

X Demographics

The data shown below were collected from the profiles of 28 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 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 4%
Canada 3 2%
Estonia 2 1%
Sweden 2 1%
France 2 1%
Brazil 2 1%
Chile 1 <1%
Hong Kong 1 <1%
Colombia 1 <1%
Other 8 5%
Unknown 121 81%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 25%
Researcher 33 22%
Student > Master 27 18%
Student > Bachelor 11 7%
Professor 9 6%
Other 22 15%
Unknown 10 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 77 52%
Biochemistry, Genetics and Molecular Biology 19 13%
Environmental Science 17 11%
Computer Science 5 3%
Earth and Planetary Sciences 5 3%
Other 10 7%
Unknown 16 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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 19 May 2013.
All research outputs
#1,349,480
of 25,782,917 outputs
Outputs from Giga Science
#217
of 1,181 outputs
Outputs of similar age
#10,014
of 209,854 outputs
Outputs of similar age from Giga Science
#4
of 4 outputs
Altmetric has tracked 25,782,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,181 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.6. This one has done well, scoring higher than 81% 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 209,854 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 4 others from the same source and published within six weeks on either side of this one.