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VAMPS: a website for visualization and analysis of microbial population structures

Overview of attention for article published in BMC Bioinformatics, February 2014
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
20 X users
facebook
1 Facebook page

Citations

dimensions_citation
173 Dimensions

Readers on

mendeley
264 Mendeley
citeulike
3 CiteULike
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Title
VAMPS: a website for visualization and analysis of microbial population structures
Published in
BMC Bioinformatics, February 2014
DOI 10.1186/1471-2105-15-41
Pubmed ID
Authors

Susan M Huse, David B Mark Welch, Andy Voorhis, Anna Shipunova, Hilary G Morrison, A Murat Eren, Mitchell L Sogin

Abstract

The advent of next-generation DNA sequencing platforms has revolutionized molecular microbial ecology by making the detailed analysis of complex communities over time and space a tractable research pursuit for small research groups. However, the ability to generate 10⁵-10⁸ reads with relative ease brings with it many downstream complications. Beyond the computational resources and skills needed to process and analyze data, it is difficult to compare datasets in an intuitive and interactive manner that leads to hypothesis generation and testing.

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

Geographical breakdown

Country Count As %
United States 10 4%
France 3 1%
Germany 2 <1%
Canada 2 <1%
Chile 1 <1%
Australia 1 <1%
South Africa 1 <1%
Netherlands 1 <1%
Estonia 1 <1%
Other 1 <1%
Unknown 241 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 63 24%
Researcher 55 21%
Student > Master 31 12%
Student > Bachelor 22 8%
Student > Doctoral Student 14 5%
Other 52 20%
Unknown 27 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 112 42%
Biochemistry, Genetics and Molecular Biology 32 12%
Environmental Science 22 8%
Computer Science 17 6%
Immunology and Microbiology 12 5%
Other 29 11%
Unknown 40 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 01 October 2014.
All research outputs
#2,762,660
of 23,709,010 outputs
Outputs from BMC Bioinformatics
#858
of 7,425 outputs
Outputs of similar age
#33,363
of 311,106 outputs
Outputs of similar age from BMC Bioinformatics
#15
of 99 outputs
Altmetric has tracked 23,709,010 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,425 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 88% 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 311,106 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 89% of its contemporaries.
We're also able to compare this research output to 99 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.