Title |
Amplified insert assembly: an optimized approach to standard assembly of BioBrickTM genetic circuits
|
---|---|
Published in |
Journal of Biological Engineering, December 2011
|
DOI | 10.1186/1754-1611-5-17 |
Pubmed ID | |
Authors |
Michael A Speer, Tom L Richard |
Abstract |
A modified BioBrick™ assembly method was developed with higher fidelity than current protocols. The method utilizes a PCR reaction with a standard primer set to amplify the inserted part. Background colonies are reduced by a combination of dephosphorylation and digestion with DpnI restriction endonuclease to reduce vector and insert background respectively. The molar ratio of the insert to vector in the ligation was also optimized, with the accuracy of the transformed construct approaching 100%. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 4 | 6% |
Mexico | 1 | 1% |
Unknown | 67 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 17 | 24% |
Student > Bachelor | 17 | 24% |
Student > Ph. D. Student | 7 | 10% |
Student > Master | 7 | 10% |
Other | 6 | 8% |
Other | 2 | 3% |
Unknown | 16 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 21 | 29% |
Biochemistry, Genetics and Molecular Biology | 17 | 24% |
Engineering | 4 | 6% |
Immunology and Microbiology | 3 | 4% |
Social Sciences | 3 | 4% |
Other | 6 | 8% |
Unknown | 18 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 17 April 2020.
All research outputs
#7,960,693
of 25,374,917 outputs
Outputs from Journal of Biological Engineering
#123
of 308 outputs
Outputs of similar age
#66,410
of 248,008 outputs
Outputs of similar age from Journal of Biological Engineering
#3
of 3 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 308 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one has gotten more attention than average, scoring higher than 57% 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 248,008 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.