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XRate: a fast prototyping, training and annotation tool for phylo-grammars

Overview of attention for article published in BMC Bioinformatics, October 2006
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Mentioned by

wikipedia
2 Wikipedia pages

Citations

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47 Dimensions

Readers on

mendeley
55 Mendeley
citeulike
2 CiteULike
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1 Connotea
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Title
XRate: a fast prototyping, training and annotation tool for phylo-grammars
Published in
BMC Bioinformatics, October 2006
DOI 10.1186/1471-2105-7-428
Pubmed ID
Authors

Peter S Klosterman, Andrew V Uzilov, Yuri R Bendaña, Robert K Bradley, Sharon Chao, Carolin Kosiol, Nick Goldman, Ian Holmes

Abstract

Recent years have seen the emergence of genome annotation methods based on the phylo-grammar, a probabilistic model combining continuous-time Markov chains and stochastic grammars. Previously, phylo-grammars have required considerable effort to implement, limiting their adoption by computational biologists.

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 4%
United States 2 4%
United Kingdom 1 2%
Mexico 1 2%
New Zealand 1 2%
Unknown 48 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 20%
Student > Ph. D. Student 10 18%
Student > Master 8 15%
Student > Bachelor 5 9%
Professor 5 9%
Other 14 25%
Unknown 2 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 49%
Biochemistry, Genetics and Molecular Biology 11 20%
Computer Science 9 16%
Social Sciences 3 5%
Business, Management and Accounting 1 2%
Other 2 4%
Unknown 2 4%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 25 October 2013.
All research outputs
#7,454,298
of 22,789,076 outputs
Outputs from BMC Bioinformatics
#3,023
of 7,279 outputs
Outputs of similar age
#23,442
of 67,525 outputs
Outputs of similar age from BMC Bioinformatics
#9
of 44 outputs
Altmetric has tracked 22,789,076 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,279 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 gotten more attention than average, scoring higher than 50% 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 67,525 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.