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Engineering bacteria to solve the Burnt Pancake Problem

Overview of attention for article published in Journal of Biological Engineering, May 2008
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#9 of 308)
  • High Attention Score compared to outputs of the same age (97th percentile)

Mentioned by

news
1 news outlet
blogs
3 blogs
twitter
6 X users
patent
1 patent
facebook
2 Facebook pages
wikipedia
6 Wikipedia pages
reddit
1 Redditor

Citations

dimensions_citation
41 Dimensions

Readers on

mendeley
112 Mendeley
citeulike
4 CiteULike
connotea
1 Connotea
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Title
Engineering bacteria to solve the Burnt Pancake Problem
Published in
Journal of Biological Engineering, May 2008
DOI 10.1186/1754-1611-2-8
Pubmed ID
Authors

Karmella A Haynes, Marian L Broderick, Adam D Brown, Trevor L Butner, James O Dickson, W Lance Harden, Lane H Heard, Eric L Jessen, Kelly J Malloy, Brad J Ogden, Sabriya Rosemond, Samantha Simpson, Erin Zwack, A Malcolm Campbell, Todd T Eckdahl, Laurie J Heyer, Jeffrey L Poet

Abstract

We investigated the possibility of executing DNA-based computation in living cells by engineering Escherichia coli to address a classic mathematical puzzle called the Burnt Pancake Problem (BPP). The BPP is solved by sorting a stack of distinct objects (pancakes) into proper order and orientation using the minimum number of manipulations. Each manipulation reverses the order and orientation of one or more adjacent objects in the stack. We have designed a system that uses site-specific DNA recombination to mediate inversions of genetic elements that represent pancakes within plasmid DNA.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 9%
France 2 2%
Australia 2 2%
Canada 2 2%
United Kingdom 2 2%
Italy 1 <1%
Austria 1 <1%
Ireland 1 <1%
Netherlands 1 <1%
Other 3 3%
Unknown 87 78%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 21%
Researcher 23 21%
Student > Bachelor 18 16%
Student > Master 12 11%
Professor > Associate Professor 8 7%
Other 21 19%
Unknown 7 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 54 48%
Biochemistry, Genetics and Molecular Biology 20 18%
Computer Science 11 10%
Engineering 5 4%
Chemistry 5 4%
Other 7 6%
Unknown 10 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 39. 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 12 July 2021.
All research outputs
#1,037,478
of 25,374,647 outputs
Outputs from Journal of Biological Engineering
#9
of 308 outputs
Outputs of similar age
#2,167
of 96,547 outputs
Outputs of similar age from Journal of Biological Engineering
#1
of 2 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 308 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. 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 96,547 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 97% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them