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Introducing W.A.T.E.R.S.: a Workflow for the Alignment, Taxonomy, and Ecology of Ribosomal Sequences

Overview of attention for article published in BMC Bioinformatics, June 2010
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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 (93rd percentile)

Mentioned by

blogs
2 blogs
twitter
6 tweeters

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
186 Mendeley
citeulike
13 CiteULike
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Title
Introducing W.A.T.E.R.S.: a Workflow for the Alignment, Taxonomy, and Ecology of Ribosomal Sequences
Published in
BMC Bioinformatics, June 2010
DOI 10.1186/1471-2105-11-317
Pubmed ID
Authors

Amber L Hartman, Sean Riddle, Timothy McPhillips, Bertram Ludäscher, Jonathan A Eisen

Abstract

For more than two decades microbiologists have used a highly conserved microbial gene as a phylogenetic marker for bacteria and archaea. The small-subunit ribosomal RNA gene, also known as 16 S rRNA, is encoded by ribosomal DNA, 16 S rDNA, and has provided a powerful comparative tool to microbial ecologists. Over time, the microbial ecology field has matured from small-scale studies in a select number of environments to massive collections of sequence data that are paired with dozens of corresponding collection variables. As the complexity of data and tool sets have grown, the need for flexible automation and maintenance of the core processes of 16 S rDNA sequence analysis has increased correspondingly.

Twitter Demographics

The data shown below were collected from the profiles of 6 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 186 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 19 10%
Brazil 6 3%
Canada 4 2%
France 3 2%
Australia 2 1%
Mexico 2 1%
United Kingdom 2 1%
Sweden 2 1%
Germany 1 <1%
Other 11 6%
Unknown 134 72%

Demographic breakdown

Readers by professional status Count As %
Researcher 62 33%
Student > Ph. D. Student 34 18%
Professor > Associate Professor 16 9%
Professor 16 9%
Student > Master 13 7%
Other 33 18%
Unknown 12 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 114 61%
Biochemistry, Genetics and Molecular Biology 13 7%
Computer Science 13 7%
Environmental Science 11 6%
Immunology and Microbiology 4 2%
Other 14 8%
Unknown 17 9%

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 28 August 2019.
All research outputs
#1,513,646
of 21,724,962 outputs
Outputs from BMC Bioinformatics
#331
of 7,018 outputs
Outputs of similar age
#6,973
of 111,076 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 1 outputs
Altmetric has tracked 21,724,962 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 7,018 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 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 111,076 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 93% 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