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Launching genomics into the cloud: deployment of Mercury, a next generation sequence analysis pipeline

Overview of attention for article published in BMC Bioinformatics, January 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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
23 X users
patent
1 patent
facebook
4 Facebook pages

Citations

dimensions_citation
204 Dimensions

Readers on

mendeley
214 Mendeley
citeulike
6 CiteULike
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Title
Launching genomics into the cloud: deployment of Mercury, a next generation sequence analysis pipeline
Published in
BMC Bioinformatics, January 2014
DOI 10.1186/1471-2105-15-30
Pubmed ID
Authors

Jeffrey G Reid, Andrew Carroll, Narayanan Veeraraghavan, Mahmoud Dahdouli, Andreas Sundquist, Adam English, Matthew Bainbridge, Simon White, William Salerno, Christian Buhay, Fuli Yu, Donna Muzny, Richard Daly, Geoff Duyk, Richard A Gibbs, Eric Boerwinkle

Abstract

Massively parallel DNA sequencing generates staggering amounts of data. Decreasing cost, increasing throughput, and improved annotation have expanded the diversity of genomics applications in research and clinical practice. This expanding scale creates analytical challenges: accommodating peak compute demand, coordinating secure access for multiple analysts, and sharing validated tools and results.

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 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 214 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 3%
Germany 3 1%
France 3 1%
United Kingdom 2 <1%
Brazil 1 <1%
Sweden 1 <1%
Iceland 1 <1%
Italy 1 <1%
Greece 1 <1%
Other 1 <1%
Unknown 193 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 57 27%
Student > Ph. D. Student 50 23%
Student > Master 23 11%
Other 15 7%
Professor > Associate Professor 12 6%
Other 41 19%
Unknown 16 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 68 32%
Biochemistry, Genetics and Molecular Biology 44 21%
Computer Science 38 18%
Medicine and Dentistry 16 7%
Engineering 7 3%
Other 18 8%
Unknown 23 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 27 September 2015.
All research outputs
#2,180,671
of 25,576,275 outputs
Outputs from BMC Bioinformatics
#497
of 7,721 outputs
Outputs of similar age
#24,628
of 324,329 outputs
Outputs of similar age from BMC Bioinformatics
#12
of 96 outputs
Altmetric has tracked 25,576,275 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,721 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 93% 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 324,329 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 96 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.