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X Demographics
Mendeley readers
Attention Score in Context
| Title |
2ab assembly: a methodology for automatable, high-throughput assembly of standard biological parts
|
|---|---|
| Published in |
Journal of Biological Engineering, January 2013
|
| DOI | 10.1186/1754-1611-7-2 |
| Pubmed ID | |
| Authors |
Mariana Leguia, Jennifer AN Brophy, Douglas Densmore, Angel Asante, J Christopher Anderson |
| Abstract |
There is growing demand for robust DNA assembly strategies to quickly and accurately fabricate genetic circuits for synthetic biology. One application of this technology is reconstitution of multi-gene assemblies. Here, we integrate a new software tool chain with 2ab assembly and show that it is robust enough to generate 528 distinct composite parts with an error-free success rate of 96%. Finally, we discuss our findings in the context of its implications for biosafety and biosecurity. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| United States | 1 | 2% |
| Portugal | 1 | 2% |
| China | 1 | 2% |
| Unknown | 52 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 23% |
| Student > Master | 7 | 13% |
| Student > Bachelor | 6 | 11% |
| Student > Ph. D. Student | 6 | 11% |
| Professor > Associate Professor | 5 | 9% |
| Other | 8 | 14% |
| Unknown | 11 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 36% |
| Biochemistry, Genetics and Molecular Biology | 11 | 20% |
| Engineering | 5 | 9% |
| Social Sciences | 4 | 7% |
| Linguistics | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 14 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 20 January 2013.
All research outputs
#13,375,947
of 22,693,205 outputs
Outputs from Journal of Biological Engineering
#148
of 258 outputs
Outputs of similar age
#159,213
of 282,341 outputs
Outputs of similar age from Journal of Biological Engineering
#16
of 24 outputs
Altmetric has tracked 22,693,205 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% 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 39th percentile – i.e., 39% 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 282,341 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% 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 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.