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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Zymomonas mobilis: a novel platform for future biorefineries
|
|---|---|
| Published in |
Biotechnology for Biofuels and Bioproducts, July 2014
|
| DOI | 10.1186/1754-6834-7-101 |
| Pubmed ID | |
| Authors |
Ming Xiong He, Bo Wu, Han Qin, Zhi Yong Ruan, Fu Rong Tan, Jing Li Wang, Zong Xia Shui, Li Chun Dai, Qi Li Zhu, Ke Pan, Xiao Yu Tang, Wen Guo Wang, Qi Chun Hu |
| Abstract |
Biosynthesis of liquid fuels and biomass-based building block chemicals from microorganisms have been regarded as a competitive alternative route to traditional. Zymomonas mobilis possesses a number of desirable characteristics for its special Entner-Doudoroff pathway, which makes it an ideal platform for both metabolic engineering and commercial-scale production of desirable bio-products as the same as Escherichia coli and Saccharomyces cerevisiae based on consideration of future biomass biorefinery. Z. mobilis has been studied extensively on both fundamental and applied level, which will provide a basis for industrial biotechnology in the future. Furthermore, metabolic engineering of Z. mobilis for enhancing bio-ethanol production from biomass resources has been significantly promoted by different methods (i.e. mutagenesis, adaptive laboratory evolution, specific gene knock-out, and metabolic engineering). In addition, the feasibility of representative metabolites, i.e. sorbitol, bionic acid, levan, succinic acid, isobutanol, and isobutanol produced by Z. mobilis and the strategies for strain improvements are also discussed or highlighted in this paper. Moreover, this review will present some guidelines for future developments in the bio-based chemical production using Z. mobilis as a novel industrial platform for future biofineries. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 321 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | <1% |
| Latvia | 1 | <1% |
| Brazil | 1 | <1% |
| Indonesia | 1 | <1% |
| United Kingdom | 1 | <1% |
| South Africa | 1 | <1% |
| Thailand | 1 | <1% |
| China | 1 | <1% |
| Unknown | 312 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 58 | 18% |
| Student > Master | 44 | 14% |
| Student > Bachelor | 44 | 14% |
| Researcher | 39 | 12% |
| Student > Doctoral Student | 12 | 4% |
| Other | 42 | 13% |
| Unknown | 82 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 73 | 23% |
| Biochemistry, Genetics and Molecular Biology | 61 | 19% |
| Engineering | 29 | 9% |
| Chemical Engineering | 25 | 8% |
| Environmental Science | 12 | 4% |
| Other | 24 | 7% |
| Unknown | 97 | 30% |
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 23 August 2014.
All research outputs
#15,168,964
of 25,373,627 outputs
Outputs from Biotechnology for Biofuels and Bioproducts
#790
of 1,578 outputs
Outputs of similar age
#122,663
of 242,138 outputs
Outputs of similar age from Biotechnology for Biofuels and Bioproducts
#13
of 24 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,578 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 46th percentile – i.e., 46% 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 242,138 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% 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 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.