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Rule-Based Design of Synthetic Transcription Factors in Eukaryotes

Overview of attention for article published in ACS Synthetic Biology, January 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#44 of 2,904)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
8 news outlets
blogs
2 blogs
twitter
4 X users
patent
7 patents
wikipedia
1 Wikipedia page
reddit
1 Redditor

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
113 Mendeley
citeulike
2 CiteULike
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Title
Rule-Based Design of Synthetic Transcription Factors in Eukaryotes
Published in
ACS Synthetic Biology, January 2014
DOI 10.1021/sb400134k
Pubmed ID
Authors

Oliver Purcell, Jean Peccoud, Timothy K. Lu

Abstract

To design and build living systems, synthetic biologists have at their disposal an increasingly large library of naturally derived and synthetic parts. These parts must be combined together in particular orders, orientations, and spacings to achieve desired functionalities. These structural constraints can be viewed as grammatical rules describing how to assemble parts together into larger functional units. Here, we develop a grammar for the design of synthetic transcription factors (sTFs) in eukaryotic cells and implement it within GenoCAD, a Computer-Aided Design (CAD) software for synthetic biology. Knowledge derived from experimental evidence was captured in this grammar to guide the user to create designer transcription factors that should operate as intended. The grammar can be easily updated and refined as our experience with using sTFs in different contexts increases. In combination with grammars that define other synthetic systems, we anticipate that this work will enable the more reliable, efficient, and automated design of synthetic cells with rich functionalities.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 5%
Sweden 1 <1%
Belgium 1 <1%
United Kingdom 1 <1%
Japan 1 <1%
China 1 <1%
Unknown 102 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 28%
Student > Ph. D. Student 26 23%
Student > Bachelor 18 16%
Student > Master 10 9%
Professor 4 4%
Other 11 10%
Unknown 12 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 52 46%
Biochemistry, Genetics and Molecular Biology 23 20%
Immunology and Microbiology 5 4%
Engineering 5 4%
Chemistry 5 4%
Other 8 7%
Unknown 15 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 79. 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 19 December 2023.
All research outputs
#538,361
of 25,377,790 outputs
Outputs from ACS Synthetic Biology
#44
of 2,904 outputs
Outputs of similar age
#5,343
of 318,655 outputs
Outputs of similar age from ACS Synthetic Biology
#1
of 42 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,904 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. 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 318,655 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 42 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 97% of its contemporaries.