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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)

Citations

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583 Dimensions

Readers on

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1190 Mendeley
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17 CiteULike
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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 425 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 1,190 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 39 3%
Germany 12 1%
United Kingdom 11 <1%
France 5 <1%
Canada 4 <1%
Japan 4 <1%
Mexico 4 <1%
Brazil 4 <1%
Netherlands 3 <1%
Other 36 3%
Unknown 1068 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 297 25%
Researcher 215 18%
Student > Master 159 13%
Student > Bachelor 138 12%
Other 55 5%
Other 216 18%
Unknown 110 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 389 33%
Biochemistry, Genetics and Molecular Biology 180 15%
Computer Science 99 8%
Engineering 97 8%
Chemistry 96 8%
Other 202 17%
Unknown 127 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 1220. 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 05 July 2022.
All research outputs
#8,361
of 21,752,314 outputs
Outputs from Nature
#978
of 88,676 outputs
Outputs of similar age
#33
of 279,741 outputs
Outputs of similar age from Nature
#5
of 999 outputs
Altmetric has tracked 21,752,314 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 88,676 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 98.1. This one has done particularly well, scoring higher than 98% 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 279,741 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 999 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.