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Biogem: an effective tool-based approach for scaling up open source software development in bioinformatics

Overview of attention for article published in Bioinformatics, February 2012
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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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

blogs
1 blog
twitter
17 tweeters
wikipedia
1 Wikipedia page

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
76 Mendeley
citeulike
10 CiteULike
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Title
Biogem: an effective tool-based approach for scaling up open source software development in bioinformatics
Published in
Bioinformatics, February 2012
DOI 10.1093/bioinformatics/bts080
Pubmed ID
Authors

R. J. P. Bonnal, J. Aerts, G. Githinji, N. Goto, D. MacLean, C. A. Miller, H. Mishima, M. Pagani, R. Ramirez-Gonzalez, G. Smant, F. Strozzi, R. Syme, R. Vos, T. J. Wennblom, B. J. Woodcroft, T. Katayama, P. Prins

Abstract

Biogem provides a software development environment for the Ruby programming language, which encourages community-based software development for bioinformatics while lowering the barrier to entry and encouraging best practices. Biogem, with its targeted modular and decentralized approach, software generator, tools and tight web integration, is an improved general model for scaling up collaborative open source software development in bioinformatics.

Twitter Demographics

The data shown below were collected from the profiles of 17 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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 4 5%
United States 3 4%
Italy 3 4%
Malaysia 2 3%
Belgium 2 3%
Canada 2 3%
Netherlands 2 3%
Australia 1 1%
Japan 1 1%
Other 1 1%
Unknown 55 72%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 38%
Student > Ph. D. Student 12 16%
Student > Master 7 9%
Professor > Associate Professor 5 7%
Professor 5 7%
Other 17 22%
Unknown 1 1%
Readers by discipline Count As %
Agricultural and Biological Sciences 41 54%
Computer Science 9 12%
Biochemistry, Genetics and Molecular Biology 5 7%
Engineering 4 5%
Medicine and Dentistry 4 5%
Other 9 12%
Unknown 4 5%

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 30 March 2013.
All research outputs
#591,486
of 12,023,633 outputs
Outputs from Bioinformatics
#418
of 7,976 outputs
Outputs of similar age
#11,281
of 259,590 outputs
Outputs of similar age from Bioinformatics
#7
of 132 outputs
Altmetric has tracked 12,023,633 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,976 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. 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 259,590 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 95% of its contemporaries.
We're also able to compare this research output to 132 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 94% of its contemporaries.