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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Expanding a dynamic flux balance model of yeast fermentation to genome-scale
|
|---|---|
| Published in |
BMC Systems Biology, May 2011
|
| DOI | 10.1186/1752-0509-5-75 |
| Pubmed ID | |
| Authors |
Felipe A Vargas, Francisco Pizarro, J Ricardo Pérez-Correa, Eduardo Agosin |
| Abstract |
Yeast is considered to be a workhorse of the biotechnology industry for the production of many value-added chemicals, alcoholic beverages and biofuels. Optimization of the fermentation is a challenging task that greatly benefits from dynamic models able to accurately describe and predict the fermentation profile and resulting products under different genetic and environmental conditions. In this article, we developed and validated a genome-scale dynamic flux balance model, using experimentally determined kinetic constraints. |
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 % |
|---|---|---|
| Scientists | 1 | 100% |
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 States | 6 | 4% |
| Chile | 2 | 1% |
| Canada | 2 | 1% |
| Iran, Islamic Republic of | 2 | 1% |
| Switzerland | 1 | <1% |
| France | 1 | <1% |
| Latvia | 1 | <1% |
| Australia | 1 | <1% |
| Sweden | 1 | <1% |
| Other | 10 | 6% |
| Unknown | 142 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 38 | 22% |
| Researcher | 36 | 21% |
| Student > Master | 24 | 14% |
| Student > Doctoral Student | 15 | 9% |
| Student > Bachelor | 11 | 7% |
| Other | 32 | 19% |
| Unknown | 13 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 65 | 38% |
| Engineering | 31 | 18% |
| Biochemistry, Genetics and Molecular Biology | 14 | 8% |
| Chemical Engineering | 12 | 7% |
| Computer Science | 10 | 6% |
| Other | 19 | 11% |
| Unknown | 18 | 11% |
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 09 January 2014.
All research outputs
#15,289,831
of 22,738,543 outputs
Outputs from BMC Systems Biology
#644
of 1,142 outputs
Outputs of similar age
#84,301
of 111,924 outputs
Outputs of similar age from BMC Systems Biology
#13
of 22 outputs
Altmetric has tracked 22,738,543 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 111,924 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.