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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Designing and engineering evolutionary robust genetic circuits
|
|---|---|
| Published in |
Journal of Biological Engineering, November 2010
|
| DOI | 10.1186/1754-1611-4-12 |
| Pubmed ID | |
| Authors |
Sean C Sleight, Bryan A Bartley, Jane A Lieviant, Herbert M Sauro |
| Abstract |
One problem with engineered genetic circuits in synthetic microbes is their stability over evolutionary time in the absence of selective pressure. Since design of a selective environment for maintaining function of a circuit will be unique to every circuit, general design principles are needed for engineering evolutionary robust circuits that permit the long-term study or applied use of synthetic circuits. |
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 % |
|---|---|---|
| United States | 2 | 67% |
| 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 358 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 19 | 5% |
| United Kingdom | 7 | 2% |
| Denmark | 2 | <1% |
| China | 2 | <1% |
| Netherlands | 1 | <1% |
| Czechia | 1 | <1% |
| Belgium | 1 | <1% |
| France | 1 | <1% |
| Australia | 1 | <1% |
| Other | 3 | <1% |
| Unknown | 320 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 109 | 30% |
| Researcher | 71 | 20% |
| Student > Master | 43 | 12% |
| Student > Bachelor | 39 | 11% |
| Other | 11 | 3% |
| Other | 43 | 12% |
| Unknown | 42 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 142 | 40% |
| Biochemistry, Genetics and Molecular Biology | 95 | 27% |
| Engineering | 27 | 8% |
| Computer Science | 8 | 2% |
| Medicine and Dentistry | 7 | 2% |
| Other | 33 | 9% |
| Unknown | 46 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 12 January 2024.
All research outputs
#4,334,332
of 26,017,215 outputs
Outputs from Journal of Biological Engineering
#62
of 313 outputs
Outputs of similar age
#19,401
of 114,789 outputs
Outputs of similar age from Journal of Biological Engineering
#2
of 4 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 313 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done well, scoring higher than 79% 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 114,789 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.