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A cargo-sorting DNA robot

Overview of attention for article published in Science, September 2017
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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 (94th percentile)

Mentioned by

news
41 news outlets
blogs
15 blogs
policy
1 policy source
twitter
182 tweeters
facebook
8 Facebook pages
wikipedia
1 Wikipedia page
googleplus
6 Google+ users
video
1 video uploader

Citations

dimensions_citation
304 Dimensions

Readers on

mendeley
420 Mendeley
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Title
A cargo-sorting DNA robot
Published in
Science, September 2017
DOI 10.1126/science.aan6558
Pubmed ID
Authors

Anupama J. Thubagere, Wei Li, Robert F. Johnson, Zibo Chen, Shayan Doroudi, Yae Lim Lee, Gregory Izatt, Sarah Wittman, Niranjan Srinivas, Damien Woods, Erik Winfree, Lulu Qian

Abstract

Two critical challenges in the design and synthesis of molecular robots are modularity and algorithm simplicity. We demonstrate three modular building blocks for a DNA robot that performs cargo sorting at the molecular level. A simple algorithm encoding recognition between cargos and their destinations allows for a simple robot design: a single-stranded DNA with one leg and two foot domains for walking, and one arm and one hand domain for picking up and dropping off cargos. The robot explores a two-dimensional testing ground on the surface of DNA origami, picks up multiple cargos of two types that are initially at unordered locations, and delivers them to specified destinations until all molecules are sorted into two distinct piles. The robot is designed to perform a random walk without any energy supply. Exploiting this feature, a single robot can repeatedly sort multiple cargos. Localization on DNA origami allows for distinct cargo-sorting tasks to take place simultaneously in one test tube or for multiple robots to collectively perform the same task.

Twitter Demographics

The data shown below were collected from the profiles of 182 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 420 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 420 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 107 25%
Researcher 60 14%
Student > Master 57 14%
Student > Bachelor 53 13%
Student > Doctoral Student 23 5%
Other 57 14%
Unknown 63 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 87 21%
Chemistry 71 17%
Agricultural and Biological Sciences 44 10%
Engineering 41 10%
Physics and Astronomy 33 8%
Other 66 16%
Unknown 78 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 529. 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 September 2021.
All research outputs
#33,478
of 21,358,386 outputs
Outputs from Science
#1,557
of 76,354 outputs
Outputs of similar age
#874
of 291,178 outputs
Outputs of similar age from Science
#53
of 1,021 outputs
Altmetric has tracked 21,358,386 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 76,354 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 60.0. This one has done particularly well, scoring higher than 97% 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 291,178 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 1,021 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 94% of its contemporaries.