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Gene Designer: a synthetic biology tool for constructing artificial DNA segments

Overview of attention for article published in BMC Bioinformatics, June 2006
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
1 X user
patent
27 patents
wikipedia
7 Wikipedia pages

Citations

dimensions_citation
306 Dimensions

Readers on

mendeley
499 Mendeley
citeulike
8 CiteULike
connotea
2 Connotea
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Title
Gene Designer: a synthetic biology tool for constructing artificial DNA segments
Published in
BMC Bioinformatics, June 2006
DOI 10.1186/1471-2105-7-285
Pubmed ID
Authors

Alan Villalobos, Jon E Ness, Claes Gustafsson, Jeremy Minshull, Sridhar Govindarajan

Abstract

Direct synthesis of genes is rapidly becoming the most efficient way to make functional genetic constructs and enables applications such as codon optimization, RNAi resistant genes and protein engineering. Here we introduce a software tool that drastically facilitates the design of synthetic genes.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 499 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 15 3%
United Kingdom 9 2%
Germany 3 <1%
Netherlands 3 <1%
France 2 <1%
Italy 2 <1%
Denmark 2 <1%
Spain 2 <1%
Belgium 2 <1%
Other 18 4%
Unknown 441 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 123 25%
Researcher 107 21%
Student > Master 64 13%
Student > Bachelor 39 8%
Professor > Associate Professor 20 4%
Other 84 17%
Unknown 62 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 223 45%
Biochemistry, Genetics and Molecular Biology 96 19%
Engineering 28 6%
Computer Science 26 5%
Medicine and Dentistry 12 2%
Other 42 8%
Unknown 72 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 28 March 2024.
All research outputs
#1,442,157
of 25,554,853 outputs
Outputs from BMC Bioinformatics
#183
of 7,718 outputs
Outputs of similar age
#2,415
of 89,254 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 41 outputs
Altmetric has tracked 25,554,853 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,718 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. 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 89,254 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 41 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 99% of its contemporaries.