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Biopython: freely available Python tools for computational molecular biology and bioinformatics

Overview of attention for article published in Bioinformatics, March 2009
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
2 news outlets
blogs
6 blogs
policy
1 policy source
twitter
6 X users
patent
28 patents
wikipedia
14 Wikipedia pages

Readers on

mendeley
3970 Mendeley
citeulike
89 CiteULike
connotea
5 Connotea
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Article details
Title
Biopython: freely available Python tools for computational molecular biology and bioinformatics
Published in
Bioinformatics, March 2009
DOI 10.1093/bioinformatics/btp163
Pubmed ID
Authors
Abstract

The Biopython project is a mature open source international collaboration of volunteer developers, providing Python libraries for a wide range of bioinformatics problems. Biopython includes modules for reading and writing different sequence file formats and multiple sequence alignments, dealing with 3D macro molecular structures, interacting with common tools such as BLAST, ClustalW and EMBOSS, accessing key online databases, as well as providing numerical methods for statistical learning.

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 3,970 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 %
United States 50 1%
United Kingdom 23 <1%
Germany 18 <1%
Brazil 12 <1%
France 10 <1%
Italy 8 <1%
Spain 8 <1%
Belgium 7 <1%
Netherlands 7 <1%
Other 67 2%
Unknown 3760 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 742 19%
Researcher 540 14%
Student > Master 473 12%
Student > Bachelor 452 11%
Student > Doctoral Student 160 4%
Other 423 11%
Unknown 1180 30%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 963 24%
Biochemistry, Genetics and Molecular Biology 860 22%
Computer Science 239 6%
Chemistry 118 3%
Engineering 95 2%
Other 419 11%
Unknown 1276 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 68. 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 20 October 2026.
All research outputs
#774,393
of 32,985,228 outputs
Outputs from Bioinformatics
#117
of 14,207 outputs
Outputs of similar age
#1,749
of 143,318 outputs
Outputs of similar age from Bioinformatics
#1
of 81 outputs
Altmetric has tracked 32,985,228 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,207 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done particularly well, scoring higher than 99% 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 143,318 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.