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libcov: A C++ bioinformatic library to manipulate protein structures, sequence alignments and phylogeny

Overview of attention for article published in BMC Bioinformatics, June 2005
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1 Q&A thread

Citations

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11 Dimensions

Readers on

mendeley
51 Mendeley
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3 CiteULike
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Title
libcov: A C++ bioinformatic library to manipulate protein structures, sequence alignments and phylogeny
Published in
BMC Bioinformatics, June 2005
DOI 10.1186/1471-2105-6-138
Pubmed ID
Authors

Davin Butt, Andrew J Roger, Christian Blouin

Abstract

An increasing number of bioinformatics methods are considering the phylogenetic relationships between biological sequences. Implementing new methodologies using the maximum likelihood phylogenetic framework can be a time consuming task.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 4%
United States 1 2%
Unknown 48 94%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 24 47%
Student > Ph. D. Student 8 16%
Researcher 7 14%
Student > Doctoral Student 3 6%
Professor 3 6%
Other 5 10%
Unknown 1 2%
Readers by discipline Count As %
Computer Science 30 59%
Agricultural and Biological Sciences 8 16%
Immunology and Microbiology 2 4%
Unspecified 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 5 10%
Unknown 4 8%
Attention Score in Context

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 22 June 2010.
All research outputs
#14,543,083
of 25,287,709 outputs
Outputs from BMC Bioinformatics
#4,007
of 7,672 outputs
Outputs of similar age
#59,401
of 68,000 outputs
Outputs of similar age from BMC Bioinformatics
#25
of 26 outputs
Altmetric has tracked 25,287,709 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,672 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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 68,000 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.