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DeviceEditor visual biological CAD canvas

Overview of attention for article published in Journal of Biological Engineering, December 2012
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Mentioned by

twitter
1 X user
facebook
1 Facebook page
reddit
1 Redditor

Citations

dimensions_citation
87 Dimensions

Readers on

mendeley
120 Mendeley
citeulike
4 CiteULike
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Title
DeviceEditor visual biological CAD canvas
Published in
Journal of Biological Engineering, December 2012
DOI 10.1186/1754-1611-6-1
Pubmed ID
Authors

Joanna Chen, Douglas Densmore, Timothy S Ham, Jay D Keasling, Nathan J Hillson

Abstract

Biological Computer Aided Design (bioCAD) assists the de novo design and selection of existing genetic components to achieve a desired biological activity, as part of an integrated design-build-test cycle. To meet the emerging needs of Synthetic Biology, bioCAD tools must address the increasing prevalence of combinatorial library design, design rule specification, and scar-less multi-part DNA assembly.

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 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 6%
United Kingdom 4 3%
Chile 1 <1%
Austria 1 <1%
Brazil 1 <1%
Belgium 1 <1%
New Zealand 1 <1%
Unknown 104 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 27%
Student > Ph. D. Student 26 22%
Student > Master 15 13%
Student > Bachelor 9 8%
Student > Postgraduate 8 7%
Other 22 18%
Unknown 8 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 35%
Biochemistry, Genetics and Molecular Biology 24 20%
Engineering 14 12%
Computer Science 11 9%
Social Sciences 5 4%
Other 12 10%
Unknown 12 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 07 March 2012.
All research outputs
#15,242,272
of 22,663,150 outputs
Outputs from Journal of Biological Engineering
#180
of 258 outputs
Outputs of similar age
#178,842
of 277,077 outputs
Outputs of similar age from Journal of Biological Engineering
#20
of 24 outputs
Altmetric has tracked 22,663,150 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 258 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
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 277,077 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.