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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The genome-scale metabolic network analysis of Zymomonas mobilis ZM4 explains physiological features and suggests ethanol and succinic acid production strategies
|
|---|---|
| Published in |
Microbial Cell Factories, November 2010
|
| DOI | 10.1186/1475-2859-9-94 |
| Pubmed ID | |
| Authors |
Kyung Yun Lee, Jong Myoung Park, Tae Yong Kim, Hongseok Yun, Sang Yup Lee |
| Abstract |
Zymomonas mobilis ZM4 is a Gram-negative bacterium that can efficiently produce ethanol from various carbon substrates, including glucose, fructose, and sucrose, via the Entner-Doudoroff pathway. However, systems metabolic engineering is required to further enhance its metabolic performance for industrial application. As an important step towards this goal, the genome-scale metabolic model of Z. mobilis is required to systematically analyze in silico the metabolic characteristics of this bacterium under a wide range of genotypic and environmental conditions. |
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 % |
|---|---|---|
| United States | 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 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Latvia | 4 | 3% |
| Iran, Islamic Republic of | 2 | 1% |
| Germany | 1 | <1% |
| Malaysia | 1 | <1% |
| Chile | 1 | <1% |
| Portugal | 1 | <1% |
| France | 1 | <1% |
| Colombia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 140 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 36 | 23% |
| Researcher | 29 | 19% |
| Student > Master | 22 | 14% |
| Professor > Associate Professor | 10 | 6% |
| Student > Bachelor | 9 | 6% |
| Other | 24 | 16% |
| Unknown | 24 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 62 | 40% |
| Biochemistry, Genetics and Molecular Biology | 29 | 19% |
| Engineering | 12 | 8% |
| Chemical Engineering | 7 | 5% |
| Computer Science | 4 | 3% |
| Other | 10 | 6% |
| Unknown | 30 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 31 May 2012.
All research outputs
#22,759,802
of 25,374,647 outputs
Outputs from Microbial Cell Factories
#1,558
of 1,823 outputs
Outputs of similar age
#179,004
of 188,640 outputs
Outputs of similar age from Microbial Cell Factories
#13
of 13 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,823 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 1st percentile – i.e., 1% 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 188,640 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.