| Title |
Synthetic genome recoding: new genetic codes for new features
|
|---|---|
| Published in |
Current Genetics, October 2017
|
| DOI | 10.1007/s00294-017-0754-z |
| Pubmed ID | |
| Authors |
James Kuo, Finn Stirling, Yu Heng Lau, Yekaterina Shulgina, Jeffrey C. Way, Pamela A. Silver |
| Abstract |
Full genome recoding, or rewriting codon meaning, through chemical synthesis of entire bacterial chromosomes has become feasible in the past several years. Recoding an organism can impart new properties including non-natural amino acid incorporation, virus resistance, and biocontainment. The estimated cost of construction that includes DNA synthesis, assembly by recombination, and troubleshooting, is now comparable to costs of early stage development of drugs or other high-tech products. Here, we discuss several recently published assembly methods and provide some thoughts on the future, including how synthetic efforts might benefit from the analysis of natural recoding processes and organisms that use alternative genetic codes. |
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 Kingdom | 1 | 33% |
| Unknown | 2 | 67% |
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 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 81 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 21% |
| Student > Bachelor | 11 | 14% |
| Researcher | 9 | 11% |
| Student > Master | 6 | 7% |
| Other | 4 | 5% |
| Other | 9 | 11% |
| Unknown | 25 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 22 | 27% |
| Agricultural and Biological Sciences | 18 | 22% |
| Engineering | 5 | 6% |
| Immunology and Microbiology | 3 | 4% |
| Chemistry | 2 | 2% |
| Other | 6 | 7% |
| Unknown | 25 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 10 August 2023.
All research outputs
#2,506,971
of 24,776,799 outputs
Outputs from Current Genetics
#11
of 1,219 outputs
Outputs of similar age
#47,105
of 328,051 outputs
Outputs of similar age from Current Genetics
#2
of 31 outputs
Altmetric has tracked 24,776,799 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,219 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 99% 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 328,051 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 85% of its contemporaries.
We're also able to compare this research output to 31 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.