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Overview of attention for article published in BMC Bioinformatics, January 2006
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

wikipedia
2 Wikipedia pages

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
54 Mendeley
citeulike
2 CiteULike
connotea
1 Connotea
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Title
Published in
BMC Bioinformatics, January 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 6%
Brazil 2 4%
United Kingdom 1 2%
New Zealand 1 2%
Mexico 1 2%
Austria 1 2%
Unknown 45 83%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 24%
Student > Ph. D. Student 11 20%
Student > Master 6 11%
Student > Postgraduate 5 9%
Professor 5 9%
Other 13 24%
Unknown 1 2%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 52%
Biochemistry, Genetics and Molecular Biology 10 19%
Computer Science 9 17%
Social Sciences 3 6%
Business, Management and Accounting 1 2%
Other 2 4%
Unknown 1 2%

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
#3,577,528
of 12,373,386 outputs
Outputs from BMC Bioinformatics
#1,717
of 4,576 outputs
Outputs of similar age
#79,386
of 268,168 outputs
Outputs of similar age from BMC Bioinformatics
#26
of 97 outputs
Altmetric has tracked 12,373,386 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,576 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 53% 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 268,168 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.