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The 2015 Bioinformatics Open Source Conference (BOSC 2015)

Overview of attention for article published in PLoS Computational Biology, February 2016
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
40 tweeters
facebook
2 Facebook pages
googleplus
2 Google+ users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
37 Mendeley
citeulike
1 CiteULike
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Title
The 2015 Bioinformatics Open Source Conference (BOSC 2015)
Published in
PLoS Computational Biology, February 2016
DOI 10.1371/journal.pcbi.1004691
Pubmed ID
Authors

Nomi L. Harris, Peter J. A. Cock, Hilmar Lapp, Brad Chapman, Rob Davey, Christopher Fields, Karsten Hokamp, Monica Munoz-Torres

Abstract

The Bioinformatics Open Source Conference (BOSC) is organized by the Open Bioinformatics Foundation (OBF), a nonprofit group dedicated to promoting the practice and philosophy of open source software development and open science within the biological research community. Since its inception in 2000, BOSC has provided bioinformatics developers with a forum for communicating the results of their latest efforts to the wider research community. BOSC offers a focused environment for developers and users to interact and share ideas about standards; software development practices; practical techniques for solving bioinformatics problems; and approaches that promote open science and sharing of data, results, and software. BOSC is run as a two-day special interest group (SIG) before the annual Intelligent Systems in Molecular Biology (ISMB) conference. BOSC 2015 took place in Dublin, Ireland, and was attended by over 125 people, about half of whom were first-time attendees. Session topics included "Data Science;" "Standards and Interoperability;" "Open Science and Reproducibility;" "Translational Bioinformatics;" "Visualization;" and "Bioinformatics Open Source Project Updates". In addition to two keynote talks and dozens of shorter talks chosen from submitted abstracts, BOSC 2015 included a panel, titled "Open Source, Open Door: Increasing Diversity in the Bioinformatics Open Source Community," that provided an opportunity for open discussion about ways to increase the diversity of participants in BOSC in particular, and in open source bioinformatics in general. The complete program of BOSC 2015 is available online at http://www.open-bio.org/wiki/BOSC_2015_Schedule.

Twitter Demographics

The data shown below were collected from the profiles of 40 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 5%
Japan 1 3%
Unknown 34 92%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 30%
Researcher 6 16%
Student > Ph. D. Student 5 14%
Student > Bachelor 4 11%
Other 3 8%
Other 5 14%
Unknown 3 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 24%
Computer Science 8 22%
Biochemistry, Genetics and Molecular Biology 5 14%
Engineering 4 11%
Social Sciences 3 8%
Other 5 14%
Unknown 3 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 March 2016.
All research outputs
#943,879
of 18,422,743 outputs
Outputs from PLoS Computational Biology
#953
of 6,973 outputs
Outputs of similar age
#19,510
of 272,589 outputs
Outputs of similar age from PLoS Computational Biology
#32
of 160 outputs
Altmetric has tracked 18,422,743 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,973 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.6. This one has done well, scoring higher than 86% 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 272,589 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 92% of its contemporaries.
We're also able to compare this research output to 160 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.