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Implementing a genomic data management system using iRODS in the Wellcome Trust Sanger Institute

Overview of attention for article published in BMC Bioinformatics, September 2011
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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 (91st percentile)

Mentioned by

twitter
12 tweeters
wikipedia
1 Wikipedia page
googleplus
1 Google+ user
q&a
1 Q&A thread

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
102 Mendeley
citeulike
14 CiteULike
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Title
Implementing a genomic data management system using iRODS in the Wellcome Trust Sanger Institute
Published in
BMC Bioinformatics, September 2011
DOI 10.1186/1471-2105-12-361
Pubmed ID
Authors

Gen-Tao Chiang, Peter Clapham, Guoying Qi, Kevin Sale, Guy Coates

Abstract

Increasingly large amounts of DNA sequencing data are being generated within the Wellcome Trust Sanger Institute (WTSI). The traditional file system struggles to handle these increasing amounts of sequence data. A good data management system therefore needs to be implemented and integrated into the current WTSI infrastructure. Such a system enables good management of the IT infrastructure of the sequencing pipeline and allows biologists to track their data.

Twitter Demographics

The data shown below were collected from the profiles of 12 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 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 4%
United States 4 4%
Sweden 3 3%
Germany 2 2%
Luxembourg 2 2%
France 2 2%
Netherlands 2 2%
Argentina 1 <1%
Italy 1 <1%
Other 0 0%
Unknown 81 79%

Demographic breakdown

Readers by professional status Count As %
Researcher 43 42%
Student > Ph. D. Student 14 14%
Other 10 10%
Student > Master 9 9%
Student > Doctoral Student 8 8%
Other 13 13%
Unknown 5 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 43%
Computer Science 28 27%
Engineering 5 5%
Biochemistry, Genetics and Molecular Biology 5 5%
Medicine and Dentistry 5 5%
Other 7 7%
Unknown 8 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 07 November 2014.
All research outputs
#1,097,869
of 13,647,320 outputs
Outputs from BMC Bioinformatics
#367
of 5,080 outputs
Outputs of similar age
#7,554
of 92,612 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 1 outputs
Altmetric has tracked 13,647,320 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 5,080 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 92% 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 92,612 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 91% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them