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Interactive metagenomic visualization in a Web browser

Overview of attention for article published in BMC Bioinformatics, September 2011
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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 (94th percentile)

Mentioned by

blogs
1 blog
twitter
11 tweeters
patent
1 patent
facebook
2 Facebook pages

Citations

dimensions_citation
560 Dimensions

Readers on

mendeley
880 Mendeley
citeulike
13 CiteULike
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Title
Interactive metagenomic visualization in a Web browser
Published in
BMC Bioinformatics, September 2011
DOI 10.1186/1471-2105-12-385
Pubmed ID
Authors

Brian D Ondov, Nicholas H Bergman, Adam M Phillippy

Abstract

A critical output of metagenomic studies is the estimation of abundances of taxonomical or functional groups. The inherent uncertainty in assignments to these groups makes it important to consider both their hierarchical contexts and their prediction confidence. The current tools for visualizing metagenomic data, however, omit or distort quantitative hierarchical relationships and lack the facility for displaying secondary variables.

Twitter Demographics

The data shown below were collected from the profiles of 11 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 880 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 20 2%
United Kingdom 7 <1%
Germany 6 <1%
Brazil 6 <1%
France 5 <1%
Spain 5 <1%
Sweden 5 <1%
Denmark 4 <1%
Canada 4 <1%
Other 23 3%
Unknown 795 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 222 25%
Researcher 185 21%
Student > Master 131 15%
Student > Bachelor 79 9%
Student > Doctoral Student 56 6%
Other 151 17%
Unknown 56 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 404 46%
Biochemistry, Genetics and Molecular Biology 156 18%
Computer Science 55 6%
Environmental Science 49 6%
Immunology and Microbiology 37 4%
Other 92 10%
Unknown 87 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 23 September 2019.
All research outputs
#897,358
of 14,156,135 outputs
Outputs from BMC Bioinformatics
#232
of 5,344 outputs
Outputs of similar age
#5,870
of 98,550 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 1 outputs
Altmetric has tracked 14,156,135 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,344 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 95% 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 98,550 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 94% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them