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The future of DNA sequence archiving

Overview of attention for article published in Giga Science, July 2012
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

blogs
6 blogs
twitter
28 X users
peer_reviews
1 peer review site
wikipedia
1 Wikipedia page

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
136 Mendeley
citeulike
8 CiteULike
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Title
The future of DNA sequence archiving
Published in
Giga Science, July 2012
DOI 10.1186/2047-217x-1-2
Pubmed ID
Authors

Guy Cochrane, Charles E Cook, Ewan Birney

Abstract

Archives operating under the International Nucleotide Sequence Database Collaboration currently preserve all submitted sequences equally, but rapid increases in the rate of global sequence production will soon require differentiated treatment of DNA sequences submitted for archiving. Here, we propose a graded system in which the ease of reproduction of a sequencing-based experiment and the relative availability of a sample for resequencing define the level of lossy compression applied to stored data.

X Demographics

X Demographics

The data shown below were collected from the profiles of 28 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 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 4%
United Kingdom 6 4%
Germany 4 3%
Netherlands 4 3%
France 3 2%
Hong Kong 2 1%
Italy 1 <1%
Réunion 1 <1%
Sweden 1 <1%
Other 2 1%
Unknown 106 78%

Demographic breakdown

Readers by professional status Count As %
Researcher 43 32%
Student > Ph. D. Student 33 24%
Other 17 13%
Student > Master 12 9%
Professor > Associate Professor 9 7%
Other 17 13%
Unknown 5 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 70 51%
Computer Science 28 21%
Biochemistry, Genetics and Molecular Biology 12 9%
Engineering 5 4%
Social Sciences 3 2%
Other 10 7%
Unknown 8 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 58. 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 13 July 2020.
All research outputs
#756,322
of 25,965,655 outputs
Outputs from Giga Science
#80
of 1,184 outputs
Outputs of similar age
#3,717
of 178,884 outputs
Outputs of similar age from Giga Science
#2
of 12 outputs
Altmetric has tracked 25,965,655 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,184 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.5. 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 178,884 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 97% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.