↓ Skip to main content

An Automated Design Framework for Multicellular Recombinase Logic

Overview of attention for article published in ACS Synthetic Biology, April 2018
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

blogs
1 blog
twitter
7 X users
patent
1 patent

Readers on

mendeley
51 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
An Automated Design Framework for Multicellular Recombinase Logic
Published in
ACS Synthetic Biology, April 2018
DOI 10.1021/acssynbio.8b00016
Pubmed ID
Authors
Abstract

Tools to systematically reprogram cellular behavior are crucial to address pressing challenges in manufacturing, the environment, or healthcare. Recombinases can very efficiently encode Boolean and history-dependent logic in many species, yet current designs are performed on a case-by-case basis, limiting their scalability and requiring time-consuming optimization. Here we present an automated workflow for designing recombinase logic devices executing Boolean functions. Our theoretical framework uses a reduced library of computational modules distributed into different cellular subpopulations which are then composed in various manners to implement all desired logic functions at the multicellular level. Our design platform called CALIN (Composable Asynchronous Logic using Integrase Networks) is broadly accessible via a web server taking truth tables as inputs and providing corresponding DNA designs and sequences as outputs (available at: http:/synbio.cbs.cnrs.fr/calin).

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 14 27%
Researcher 12 24%
Student > Master 4 8%
Student > Bachelor 3 6%
Lecturer > Senior Lecturer 2 4%
Other 8 16%
Unknown 8 16%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 21 41%
Agricultural and Biological Sciences 7 14%
Chemistry 3 6%
Engineering 2 4%
Environmental Science 1 2%
Other 6 12%
Unknown 11 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 21 September 2020.
All research outputs
#3,297,456
of 32,394,374 outputs
Outputs from ACS Synthetic Biology
#650
of 3,341 outputs
Outputs of similar age
#53,261
of 361,457 outputs
Outputs of similar age from ACS Synthetic Biology
#21
of 80 outputs
Altmetric has tracked 32,394,374 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,341 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.0. This one has done well, scoring higher than 80% 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 361,457 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 80 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.