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Elviz – exploration of metagenome assemblies with an interactive visualization tool

Overview of attention for article published in BMC Bioinformatics, April 2015
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

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1 news outlet
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20 X users
facebook
1 Facebook page

Citations

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14 Dimensions

Readers on

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99 Mendeley
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Title
Elviz – exploration of metagenome assemblies with an interactive visualization tool
Published in
BMC Bioinformatics, April 2015
DOI 10.1186/s12859-015-0566-4
Pubmed ID
Authors

Michael Cantor, Henrik Nordberg, Tatyana Smirnova, Matthias Hess, Susannah Tringe, Inna Dubchak

Abstract

Metagenomics, the sequencing of DNA collected from an entire microbial community, enables the study of natural microbial consortia in their native habitats. Metagenomics studies produce huge volumes of data, including both the sequences themselves and metadata describing their abundance, assembly, predicted functional characteristics and environmental parameters. The ability to explore these data visually is critically important to meaningful biological interpretation. Current genomics applications cannot effectively integrate sequence data, assembly metadata, and annotation to support both genome and community-level inquiry. Elviz (Environmental Laboratory Visualization) is an interactive web-based tool for the visual exploration of assembled metagenomes and their complex metadata. Elviz allows scientists to navigate metagenome assemblies across multiple dimensions and scales, plotting parameters such as GC content, relative abundance, phylogenetic affiliation and assembled contig length. Furthermore Elviz enables interactive exploration using real-time plot navigation, search, filters, axis selection, and the ability to drill from a whole-community profile down to individual gene annotations. Thus scientists engage in a rapid feedback loop of visual pattern identification, hypothesis generation, and hypothesis testing. Compared to the current alternative of generating a succession of static figures, Elviz can greatly accelerate the speed of metagenome analysis. Elviz can be used to explore both user-submitted datasets and numerous metagenome studies publicly available at the Joint Genome Institute (JGI). Elviz is freely available at http://genome.jgi.doe.gov/viz and runs on most current web-browsers.

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 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 4%
Germany 3 3%
Brazil 2 2%
Norway 1 1%
Czechia 1 1%
Egypt 1 1%
Canada 1 1%
Spain 1 1%
Estonia 1 1%
Other 0 0%
Unknown 84 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 28%
Researcher 21 21%
Student > Master 15 15%
Student > Bachelor 14 14%
Student > Doctoral Student 3 3%
Other 9 9%
Unknown 9 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 41 41%
Biochemistry, Genetics and Molecular Biology 18 18%
Computer Science 14 14%
Environmental Science 5 5%
Immunology and Microbiology 3 3%
Other 8 8%
Unknown 10 10%
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 09 May 2015.
All research outputs
#1,770,603
of 24,885,505 outputs
Outputs from BMC Bioinformatics
#333
of 7,601 outputs
Outputs of similar age
#22,175
of 269,806 outputs
Outputs of similar age from BMC Bioinformatics
#7
of 140 outputs
Altmetric has tracked 24,885,505 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 7,601 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 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 269,806 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 91% of its contemporaries.
We're also able to compare this research output to 140 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.