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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A computational exploration of bacterial metabolic diversity identifying metabolic interactions and growth-efficient strain communities
|
|---|---|
| Published in |
BMC Systems Biology, October 2011
|
| DOI | 10.1186/1752-0509-5-167 |
| Pubmed ID | |
| Authors |
Eleftheria Tzamali, Panayiota Poirazi, Ioannis G Tollis, Martin Reczko |
| Abstract |
Metabolic interactions involve the exchange of metabolic products among microbial species. Most microbes live in communities and usually rely on metabolic interactions to increase their supply for nutrients and better exploit a given environment. Constraint-based models have successfully analyzed cellular metabolism and described genotype-phenotype relations. However, there are only a few studies of genome-scale multi-species interactions. Based on genome-scale approaches, we present a graph-theoretic approach together with a metabolic model in order to explore the metabolic variability among bacterial strains and identify and describe metabolically interacting strain communities in a batch culture consisting of two or more strains. We demonstrate the applicability of our approach to the bacterium E. coli across different single-carbon-source 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 % |
|---|---|---|
| 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 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 5% |
| France | 1 | <1% |
| Austria | 1 | <1% |
| United Kingdom | 1 | <1% |
| Malaysia | 1 | <1% |
| Sri Lanka | 1 | <1% |
| Canada | 1 | <1% |
| Greece | 1 | <1% |
| Belgium | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 120 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 38 | 28% |
| Researcher | 35 | 26% |
| Student > Master | 16 | 12% |
| Professor > Associate Professor | 11 | 8% |
| Professor | 10 | 7% |
| Other | 17 | 13% |
| Unknown | 8 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 62 | 46% |
| Biochemistry, Genetics and Molecular Biology | 16 | 12% |
| Computer Science | 8 | 6% |
| Engineering | 7 | 5% |
| Chemical Engineering | 4 | 3% |
| Other | 19 | 14% |
| Unknown | 19 | 14% |
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 18 October 2011.
All research outputs
#15,237,301
of 22,655,397 outputs
Outputs from BMC Systems Biology
#644
of 1,142 outputs
Outputs of similar age
#95,189
of 139,128 outputs
Outputs of similar age from BMC Systems Biology
#22
of 41 outputs
Altmetric has tracked 22,655,397 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 32nd percentile – i.e., 32% 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 139,128 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.