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Community-driven development for computational biology at Sprints, Hackathons and Codefests

Overview of attention for article published in BMC Bioinformatics, November 2014
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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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

twitter
41 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
54 Mendeley
citeulike
1 CiteULike
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Title
Community-driven development for computational biology at Sprints, Hackathons and Codefests
Published in
BMC Bioinformatics, November 2014
DOI 10.1186/1471-2105-15-s14-s7
Pubmed ID
Authors

Steffen Möller, Enis Afgan, Michael Banck, Raoul JP Bonnal, Timothy Booth, John Chilton, Peter JA Cock, Markus Gumbel, Nomi Harris, Richard Holland, Matúš Kalaš, László Kaján, Eri Kibukawa, David R Powel, Pjotr Prins, Jacqueline Quinn, Olivier Sallou, Francesco Strozzi, Torsten Seemann, Clare Sloggett, Stian Soiland-Reyes, William Spooner, Sascha Steinbiss, Andreas Tille, Anthony J Travis, Roman Valls Guimera, Toshiaki Katayama, Brad A Chapman

Twitter Demographics

The data shown below were collected from the profiles of 41 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 6%
Netherlands 2 4%
Brazil 1 2%
China 1 2%
Spain 1 2%
United Kingdom 1 2%
Unknown 45 83%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 22%
Student > Ph. D. Student 9 17%
Student > Master 8 15%
Professor > Associate Professor 5 9%
Student > Bachelor 4 7%
Other 12 22%
Unknown 4 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 28%
Computer Science 11 20%
Engineering 5 9%
Biochemistry, Genetics and Molecular Biology 4 7%
Social Sciences 4 7%
Other 9 17%
Unknown 6 11%

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 17 May 2017.
All research outputs
#817,858
of 16,242,940 outputs
Outputs from BMC Bioinformatics
#122
of 5,880 outputs
Outputs of similar age
#16,003
of 310,088 outputs
Outputs of similar age from BMC Bioinformatics
#11
of 326 outputs
Altmetric has tracked 16,242,940 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 5,880 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 97% 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 310,088 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 94% of its contemporaries.
We're also able to compare this research output to 326 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 96% of its contemporaries.