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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 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
3 tweeters
patent
1 patent
wikipedia
5 Wikipedia pages

Citations

dimensions_citation
2393 Dimensions

Readers on

mendeley
2299 Mendeley
citeulike
89 CiteULike
connotea
5 Connotea
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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

P. J. A. Cock, T. Antao, J. T. Chang, B. A. Chapman, C. J. Cox, A. Dalke, I. Friedberg, T. Hamelryck, F. Kauff, B. Wilczynski, M. J. L. de Hoon

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.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 2,299 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 51 2%
United Kingdom 23 1%
Germany 18 <1%
Brazil 12 <1%
France 10 <1%
Spain 8 <1%
Italy 8 <1%
Netherlands 7 <1%
Belgium 7 <1%
Other 70 3%
Unknown 2085 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 568 25%
Researcher 415 18%
Student > Master 350 15%
Student > Bachelor 340 15%
Student > Doctoral Student 101 4%
Other 307 13%
Unknown 218 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 837 36%
Biochemistry, Genetics and Molecular Biology 565 25%
Computer Science 205 9%
Chemistry 75 3%
Engineering 73 3%
Other 250 11%
Unknown 294 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 26 March 2021.
All research outputs
#1,172,338
of 18,934,527 outputs
Outputs from Bioinformatics
#610
of 11,079 outputs
Outputs of similar age
#13,781
of 203,106 outputs
Outputs of similar age from Bioinformatics
#10
of 147 outputs
Altmetric has tracked 18,934,527 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,079 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done particularly well, scoring higher than 94% 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 203,106 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 93% of its contemporaries.
We're also able to compare this research output to 147 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 93% of its contemporaries.