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Transfer of molecular recognition information from DNA nanostructures to gold nanoparticles

Overview of attention for article published in Nature Chemistry, January 2016
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
15 news outlets
blogs
2 blogs
twitter
20 X users
patent
1 patent
googleplus
4 Google+ users
reddit
1 Redditor

Citations

dimensions_citation
217 Dimensions

Readers on

mendeley
210 Mendeley
Title
Transfer of molecular recognition information from DNA nanostructures to gold nanoparticles
Published in
Nature Chemistry, January 2016
DOI 10.1038/nchem.2420
Pubmed ID
Authors

Thomas G. W. Edwardson, Kai Lin Lau, Danny Bousmail, Christopher J. Serpell, Hanadi F. Sleiman

Abstract

DNA nanotechnology offers unparalleled precision and programmability for the bottom-up organization of materials. This approach relies on pre-assembling a DNA scaffold, typically containing hundreds of different strands, and using it to position functional components. A particularly attractive strategy is to employ DNA nanostructures not as permanent scaffolds, but as transient, reusable templates to transfer essential information to other materials. To our knowledge, this approach, akin to top-down lithography, has not been examined. Here we report a molecular printing strategy that chemically transfers a discrete pattern of DNA strands from a three-dimensional DNA structure to a gold nanoparticle. We show that the particles inherit the DNA sequence configuration encoded in the parent template with high fidelity. This provides control over the number of DNA strands and their relative placement, directionality and sequence asymmetry. Importantly, the nanoparticles produced exhibit the site-specific addressability of DNA nanostructures, and are promising components for energy, information and biomedical applications.

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 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 210 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
France 1 <1%
United Kingdom 1 <1%
Mexico 1 <1%
Japan 1 <1%
Unknown 205 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 73 35%
Researcher 27 13%
Student > Master 23 11%
Student > Bachelor 16 8%
Student > Doctoral Student 11 5%
Other 26 12%
Unknown 34 16%
Readers by discipline Count As %
Chemistry 91 43%
Biochemistry, Genetics and Molecular Biology 17 8%
Agricultural and Biological Sciences 14 7%
Materials Science 13 6%
Engineering 12 6%
Other 26 12%
Unknown 37 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 142. 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 16 September 2021.
All research outputs
#268,311
of 23,994,935 outputs
Outputs from Nature Chemistry
#122
of 3,152 outputs
Outputs of similar age
#4,844
of 400,653 outputs
Outputs of similar age from Nature Chemistry
#3
of 54 outputs
Altmetric has tracked 23,994,935 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,152 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 35.0. This one has done particularly well, scoring higher than 96% 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 400,653 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 98% of its contemporaries.
We're also able to compare this research output to 54 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 96% of its contemporaries.