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Bioconductor: open software development for computational biology and bioinformatics

Overview of attention for article published in Genome Biology, September 2004
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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 (94th percentile)

Mentioned by

news
2 news outlets
blogs
4 blogs
twitter
4 X users
patent
54 patents
wikipedia
13 Wikipedia pages

Citations

dimensions_citation
10487 Dimensions

Readers on

mendeley
4682 Mendeley
citeulike
68 CiteULike
connotea
12 Connotea
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Title
Bioconductor: open software development for computational biology and bioinformatics
Published in
Genome Biology, September 2004
DOI 10.1186/gb-2004-5-10-r80
Pubmed ID
Authors

Robert C Gentleman, Vincent J Carey, Douglas M Bates, Ben Bolstad, Marcel Dettling, Sandrine Dudoit, Byron Ellis, Laurent Gautier, Yongchao Ge, Jeff Gentry, Kurt Hornik, Torsten Hothorn, Wolfgang Huber, Stefano Iacus, Rafael Irizarry, Friedrich Leisch, Cheng Li, Martin Maechler, Anthony J Rossini, Gunther Sawitzki, Colin Smith, Gordon Smyth, Luke Tierney, Jean YH Yang, Jianhua Zhang

Abstract

The Bioconductor project is an initiative for the collaborative creation of extensible software for computational biology and bioinformatics. The goals of the project include: fostering collaborative development and widespread use of innovative software, reducing barriers to entry into interdisciplinary scientific research, and promoting the achievement of remote reproducibility of research results. We describe details of our aims and methods, identify current challenges, compare Bioconductor to other open bioinformatics projects, and provide working examples.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4,682 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 108 2%
United Kingdom 44 <1%
Germany 37 <1%
Spain 21 <1%
Brazil 18 <1%
France 17 <1%
Netherlands 14 <1%
India 13 <1%
Denmark 11 <1%
Other 127 3%
Unknown 4272 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1156 25%
Researcher 1051 22%
Student > Master 573 12%
Student > Bachelor 323 7%
Student > Doctoral Student 266 6%
Other 788 17%
Unknown 525 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 1945 42%
Biochemistry, Genetics and Molecular Biology 816 17%
Medicine and Dentistry 307 7%
Computer Science 305 7%
Engineering 105 2%
Other 538 11%
Unknown 666 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 56. 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 15 February 2024.
All research outputs
#752,667
of 25,380,192 outputs
Outputs from Genome Biology
#497
of 4,461 outputs
Outputs of similar age
#746
of 73,345 outputs
Outputs of similar age from Genome Biology
#2
of 18 outputs
Altmetric has tracked 25,380,192 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 4,461 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 88% 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 73,345 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 18 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.