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Rapid phylogenetic and functional classification of short genomic fragments with signature peptides

Overview of attention for article published in BMC Research Notes, August 2012
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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)

Mentioned by

twitter
19 tweeters

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
75 Mendeley
citeulike
3 CiteULike
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Title
Rapid phylogenetic and functional classification of short genomic fragments with signature peptides
Published in
BMC Research Notes, August 2012
DOI 10.1186/1756-0500-5-460
Pubmed ID
Authors

Joel Berendzen, William J Bruno, Judith D Cohn, Nicolas W Hengartner, Cheryl R Kuske, Benjamin H McMahon, Murray A Wolinsky, Gary Xie

Abstract

Classification is difficult for shotgun metagenomics data from environments such as soils, where the diversity of sequences is high and where reference sequences from close relatives may not exist. Approaches based on sequence-similarity scores must deal with the confounding effects that inheritance and functional pressures exert on the relation between scores and phylogenetic distance, while approaches based on sequence alignment and tree-building are typically limited to a small fraction of gene families. We describe an approach based on finding one or more exact matches between a read and a precomputed set of peptide 10-mers.

Twitter Demographics

The data shown below were collected from the profiles of 19 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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 8%
Brazil 3 4%
United Kingdom 2 3%
Sweden 1 1%
France 1 1%
Finland 1 1%
Denmark 1 1%
Mexico 1 1%
Unknown 59 79%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 35%
Student > Ph. D. Student 12 16%
Professor 8 11%
Student > Master 6 8%
Other 5 7%
Other 12 16%
Unknown 6 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 51%
Computer Science 9 12%
Biochemistry, Genetics and Molecular Biology 5 7%
Mathematics 4 5%
Immunology and Microbiology 2 3%
Other 10 13%
Unknown 7 9%

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 30 May 2013.
All research outputs
#2,249,947
of 21,298,857 outputs
Outputs from BMC Research Notes
#304
of 4,121 outputs
Outputs of similar age
#14,678
of 148,156 outputs
Outputs of similar age from BMC Research Notes
#1
of 1 outputs
Altmetric has tracked 21,298,857 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,121 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 92% 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 148,156 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 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