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Towards practical, high-capacity, low-maintenance information storage in synthesized DNA

Overview of attention for article published in Nature, January 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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Citations

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253 Dimensions

Readers on

mendeley
913 Mendeley
citeulike
17 CiteULike
Title
Towards practical, high-capacity, low-maintenance information storage in synthesized DNA
Published in
Nature, January 2013
DOI 10.1038/nature11875
Pubmed ID
Authors

Nick Goldman, Paul Bertone, Siyuan Chen, Christophe Dessimoz, Emily M. LeProust, Botond Sipos, Ewan Birney

Abstract

Digital production, transmission and storage have revolutionized how we access and use information but have also made archiving an increasingly complex task that requires active, continuing maintenance of digital media. This challenge has focused some interest on DNA as an attractive target for information storage because of its capacity for high-density information encoding, longevity under easily achieved conditions and proven track record as an information bearer. Previous DNA-based information storage approaches have encoded only trivial amounts of information or were not amenable to scaling-up, and used no robust error-correction and lacked examination of their cost-efficiency for large-scale information archival. Here we describe a scalable method that can reliably store more information than has been handled before. We encoded computer files totalling 739 kilobytes of hard-disk storage and with an estimated Shannon information of 5.2 × 10(6) bits into a DNA code, synthesized this DNA, sequenced it and reconstructed the original files with 100% accuracy. Theoretical analysis indicates that our DNA-based storage scheme could be scaled far beyond current global information volumes and offers a realistic technology for large-scale, long-term and infrequently accessed digital archiving. In fact, current trends in technological advances are reducing DNA synthesis costs at a pace that should make our scheme cost-effective for sub-50-year archiving within a decade.

Twitter Demographics

The data shown below were collected from the profiles of 451 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 913 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 41 4%
Germany 15 2%
United Kingdom 11 1%
France 7 <1%
Japan 4 <1%
Mexico 4 <1%
Brazil 4 <1%
Canada 4 <1%
Netherlands 3 <1%
Other 36 4%
Unknown 784 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 240 26%
Researcher 187 20%
Student > Master 129 14%
Student > Bachelor 109 12%
Other 42 5%
Other 206 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 378 41%
Biochemistry, Genetics and Molecular Biology 116 13%
Chemistry 81 9%
Computer Science 71 8%
Engineering 63 7%
Other 204 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 1187. 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 08 April 2019.
All research outputs
#2,529
of 13,095,618 outputs
Outputs from Nature
#436
of 68,631 outputs
Outputs of similar age
#21
of 244,771 outputs
Outputs of similar age from Nature
#5
of 1,007 outputs
Altmetric has tracked 13,095,618 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 68,631 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 74.2. This one has done particularly well, scoring higher than 99% 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 244,771 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 99% of its contemporaries.
We're also able to compare this research output to 1,007 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 99% of its contemporaries.