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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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  • 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)

Readers on

mendeley
814 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, Goldman N, Bertone P, Chen S, Dessimoz C, Leproust EM, Sipos B, Birney E

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 468 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 814 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 42 5%
Germany 17 2%
United Kingdom 11 1%
France 6 <1%
Brazil 6 <1%
Mexico 4 <1%
Canada 4 <1%
Japan 4 <1%
Spain 3 <1%
Other 38 5%
Unknown 679 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 231 28%
Researcher 184 23%
Student > Master 105 13%
Student > Bachelor 96 12%
Other 38 5%
Other 160 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 379 47%
Biochemistry, Genetics and Molecular Biology 87 11%
Chemistry 69 8%
Computer Science 66 8%
Engineering 53 7%
Other 160 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 1205. 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 April 2018.
All research outputs
#1,598
of 9,724,484 outputs
Outputs from Nature
#303
of 51,364 outputs
Outputs of similar age
#22
of 306,482 outputs
Outputs of similar age from Nature
#5
of 985 outputs
Altmetric has tracked 9,724,484 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 51,364 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 77.5. 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 306,482 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 985 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.