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Mendeley readers
Attention Score in Context
| Title |
Metabolic engineering of Escherichia coli for high-specificity production of isoprenol and prenol as next generation of biofuels
|
|---|---|
| Published in |
Biotechnology for Biofuels and Bioproducts, April 2013
|
| DOI | 10.1186/1754-6834-6-57 |
| Pubmed ID | |
| Authors |
Yanning Zheng, Qiang Liu, Lingling Li, Wen Qin, Jianming Yang, Haibo Zhang, Xinglin Jiang, Tao Cheng, Wei Liu, Xin Xu, Mo Xian |
| Abstract |
The isopentenols, including isoprenol and prenol, are excellent alternative fuels. However, they are not compounds largely accumulated in natural organism. The need for the next generation of biofuels with better physical and chemical properties impels us to develop biosynthetic routes for the production of isoprenol and prenol from renewable sugar. In this study, we use the heterogenous mevalonate-dependent (MVA) isoprenoid pathway for the synthesis of isopentenyl pyrophosphate (IPP) and dimethylallyl pyrophosphate (DMAPP) intermediates, and then convert IPP and DMAPP to isoprenol and prenol, respectively. |
Mendeley readers
The data shown below were compiled from readership statistics for 150 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 1% |
| Indonesia | 1 | <1% |
| New Zealand | 1 | <1% |
| Belgium | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 144 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 40 | 27% |
| Researcher | 23 | 15% |
| Student > Master | 19 | 13% |
| Student > Bachelor | 14 | 9% |
| Student > Doctoral Student | 7 | 5% |
| Other | 23 | 15% |
| Unknown | 24 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 63 | 42% |
| Biochemistry, Genetics and Molecular Biology | 30 | 20% |
| Chemistry | 7 | 5% |
| Engineering | 5 | 3% |
| Chemical Engineering | 5 | 3% |
| Other | 9 | 6% |
| Unknown | 31 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 24 October 2023.
All research outputs
#2,705,620
of 25,373,627 outputs
Outputs from Biotechnology for Biofuels and Bioproducts
#117
of 1,578 outputs
Outputs of similar age
#22,238
of 205,940 outputs
Outputs of similar age from Biotechnology for Biofuels and Bioproducts
#7
of 29 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 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,578 research outputs from this source. They receive a mean Attention Score of 4.9. 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 205,940 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 89% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.