↓ Skip to main content

Article

Overview of attention for article published in BMC Bioinformatics, January 2006
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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
patent
10 patents
wikipedia
4 Wikipedia pages

Citations

dimensions_citation
243 Dimensions

Readers on

mendeley
411 Mendeley
citeulike
8 CiteULike
connotea
2 Connotea
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.
Title
Published in
BMC Bioinformatics, January 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.

Mendeley readers

The data shown below were compiled from readership statistics for 411 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 16 4%
United Kingdom 9 2%
Germany 3 <1%
Netherlands 3 <1%
Belgium 2 <1%
Denmark 2 <1%
France 2 <1%
Canada 2 <1%
Italy 2 <1%
Other 20 5%
Unknown 350 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 110 27%
Researcher 100 24%
Student > Master 56 14%
Student > Bachelor 33 8%
Professor > Associate Professor 18 4%
Other 75 18%
Unknown 19 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 217 53%
Biochemistry, Genetics and Molecular Biology 79 19%
Computer Science 25 6%
Engineering 23 6%
Medicine and Dentistry 11 3%
Other 31 8%
Unknown 25 6%

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 01 January 2020.
All research outputs
#812,260
of 15,341,807 outputs
Outputs from BMC Bioinformatics
#146
of 5,604 outputs
Outputs of similar age
#11,391
of 187,476 outputs
Outputs of similar age from BMC Bioinformatics
#9
of 232 outputs
Altmetric has tracked 15,341,807 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 5,604 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. 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 187,476 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 93% of its contemporaries.
We're also able to compare this research output to 232 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 96% of its contemporaries.