| Title |
An integrated biotechnology platform for developing sustainable chemical processes
|
|---|---|
| Published in |
Journal of Industrial Microbiology & Biotechnology, March 2015
|
| DOI | 10.1007/s10295-014-1541-1 |
| Pubmed ID | |
| Authors |
Nelson R Barton, Anthony P Burgard, Mark J Burk, Jason S Crater, Robin E Osterhout, Priti Pharkya, Brian A Steer, Jun Sun, John D Trawick, Stephen J Van Dien, Tae Hoon Yang, Harry Yim |
| Abstract |
Genomatica has established an integrated computational/experimental metabolic engineering platform to design, create, and optimize novel high performance organisms and bioprocesses. Here we present our platform and its use to develop E. coli strains for production of the industrial chemical 1,4-butanediol (BDO) from sugars. A series of examples are given to demonstrate how a rational approach to strain engineering, including carefully designed diagnostic experiments, provided critical insights about pathway bottlenecks, byproducts, expression balancing, and commercial robustness, leading to a superior BDO production strain and process. |
Mendeley readers
The data shown below were compiled from readership statistics for 169 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 1% |
| Australia | 2 | 1% |
| Sweden | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 163 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 33 | 20% |
| Student > Ph. D. Student | 30 | 18% |
| Student > Master | 20 | 12% |
| Student > Bachelor | 16 | 9% |
| Other | 10 | 6% |
| Other | 23 | 14% |
| Unknown | 37 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 40 | 24% |
| Agricultural and Biological Sciences | 39 | 23% |
| Chemical Engineering | 19 | 11% |
| Engineering | 9 | 5% |
| Chemistry | 5 | 3% |
| Other | 14 | 8% |
| Unknown | 43 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 19 March 2024.
All research outputs
#3,709,974
of 25,373,627 outputs
Outputs from Journal of Industrial Microbiology & Biotechnology
#112
of 1,612 outputs
Outputs of similar age
#44,963
of 270,992 outputs
Outputs of similar age from Journal of Industrial Microbiology & Biotechnology
#2
of 35 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,612 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 92% 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 270,992 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 83% of its contemporaries.
We're also able to compare this research output to 35 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 91% of its contemporaries.