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Bio++: Efficient Extensible Libraries and Tools for Computational Molecular Evolution

Overview of attention for article published in Molecular Biology and Evolution, May 2013
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  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

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7 X users
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1 Google+ user

Readers on

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129 Mendeley
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6 CiteULike
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Article details
Title
Bio++: Efficient Extensible Libraries and Tools for Computational Molecular Evolution
Published in
Molecular Biology and Evolution, May 2013
DOI 10.1093/molbev/mst097
Pubmed ID
Authors
Abstract

Efficient algorithms and programs for the analysis of the ever-growing amount of biological sequence data are strongly needed in the genomics era. The pace at which new data and methodologies are generated calls for the use of pre-existing, optimized-yet extensible-code, typically distributed as libraries or packages. This motivated the Bio++ project, aiming at developing a set of C++ libraries for sequence analysis, phylogenetics, population genetics, and molecular evolution. The main attractiveness of Bio++ is the extensibility and reusability of its components through its object-oriented design, without compromising the computer-efficiency of the underlying methods. We present here the second major release of the libraries, which provides an extended set of classes and methods. These extensions notably provide built-in access to sequence databases and new data structures for handling and manipulating sequences from the omics era, such as multiple genome alignments and sequencing reads libraries. More complex models of sequence evolution, such as mixture models and generic n-tuples alphabets, are also included.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Sweden 2 2%
United Kingdom 2 2%
Germany 2 2%
Switzerland 2 2%
Uruguay 1 <1%
United States 1 <1%
Portugal 1 <1%
Canada 1 <1%
Unknown 117 91%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 36 28%
Student > Ph. D. Student 29 22%
Student > Master 16 12%
Professor 9 7%
Other 8 6%
Other 22 17%
Unknown 9 7%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 74 57%
Biochemistry, Genetics and Molecular Biology 28 22%
Computer Science 9 7%
Mathematics 3 2%
Chemical Engineering 1 <1%
Other 3 2%
Unknown 11 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 12 July 2013.
All research outputs
#8,476,894
of 32,480,160 outputs
Outputs from Molecular Biology and Evolution
#2,936
of 6,048 outputs
Outputs of similar age
#62,136
of 233,384 outputs
Outputs of similar age from Molecular Biology and Evolution
#22
of 49 outputs
Altmetric has tracked 32,480,160 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 6,048 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.8. This one has gotten more attention than average, scoring higher than 51% 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 233,384 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 73% of its contemporaries.
We're also able to compare this research output to 49 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 55% of its contemporaries.