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Open-Phylo: a customizable crowd-computing platform for multiple sequence alignment

Overview of attention for article published in Genome Biology, December 2013
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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 (95th percentile)

Mentioned by

news
5 news outlets
blogs
5 blogs
twitter
49 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page
googleplus
3 Google+ users
video
1 YouTube creator

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
87 Mendeley
citeulike
7 CiteULike
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Title
Open-Phylo: a customizable crowd-computing platform for multiple sequence alignment
Published in
Genome Biology, December 2013
DOI 10.1186/gb-2013-14-10-r116
Pubmed ID
Authors

Daniel Kwak, Alfred Kam, David Becerra, Qikuan Zhou, Adam Hops, Eleyine Zarour, Arthur Kam, Luis Sarmenta, Mathieu Blanchette, Jérôme Waldispühl

Abstract

Citizen science games such as Galaxy Zoo, Foldit, and Phylo aim to harness the intelligence and processing power generated by crowds of online gamers to solve scientific problems. However, the selection of the data to be analyzed through these games is under the exclusive control of the game designers, and so are the results produced by gamers. Here, we introduce Open-Phylo, a freely accessible crowd-computing platform that enables any scientist to enter our system and use crowds of gamers to assist computer programs in solving one of the most fundamental problems in genomics: the multiple sequence alignment problem.

X Demographics

X Demographics

The data shown below were collected from the profiles of 49 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 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 5%
United Kingdom 4 5%
Netherlands 2 2%
Brazil 1 1%
Sweden 1 1%
France 1 1%
Finland 1 1%
Japan 1 1%
Peru 1 1%
Other 0 0%
Unknown 71 82%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 26%
Student > Ph. D. Student 14 16%
Student > Master 10 11%
Student > Bachelor 10 11%
Other 7 8%
Other 16 18%
Unknown 7 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 36%
Computer Science 19 22%
Biochemistry, Genetics and Molecular Biology 6 7%
Social Sciences 3 3%
Environmental Science 3 3%
Other 14 16%
Unknown 11 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 104. 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 23 May 2019.
All research outputs
#404,137
of 25,373,627 outputs
Outputs from Genome Biology
#211
of 4,467 outputs
Outputs of similar age
#3,780
of 320,161 outputs
Outputs of similar age from Genome Biology
#4
of 97 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 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 particularly well, scoring higher than 95% 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 320,161 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 97 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 95% of its contemporaries.