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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Double and multiple knockout simulations for genome-scale metabolic network reconstructions
|
|---|---|
| Published in |
Algorithms for Molecular Biology, January 2015
|
| DOI | 10.1186/s13015-014-0028-y |
| Pubmed ID | |
| Authors |
Yaron AB Goldstein, Alexander Bockmayr |
| Abstract |
Constraint-based modeling of genome-scale metabolic network reconstructions has become a widely used approach in computational biology. Flux coupling analysis is a constraint-based method that analyses the impact of single reaction knockouts on other reactions in the network. |
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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Iran, Islamic Republic of | 1 | 2% |
| Portugal | 1 | 2% |
| Germany | 1 | 2% |
| Singapore | 1 | 2% |
| Unknown | 45 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 24% |
| Student > Ph. D. Student | 11 | 22% |
| Researcher | 10 | 20% |
| Professor > Associate Professor | 3 | 6% |
| Student > Doctoral Student | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 7 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 31% |
| Biochemistry, Genetics and Molecular Biology | 7 | 14% |
| Mathematics | 6 | 12% |
| Computer Science | 5 | 10% |
| Engineering | 3 | 6% |
| Other | 3 | 6% |
| Unknown | 10 | 20% |
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 05 February 2015.
All research outputs
#20,256,697
of 22,786,087 outputs
Outputs from Algorithms for Molecular Biology
#233
of 264 outputs
Outputs of similar age
#295,255
of 352,083 outputs
Outputs of similar age from Algorithms for Molecular Biology
#10
of 14 outputs
Altmetric has tracked 22,786,087 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 264 research outputs from this source. They receive a mean Attention Score of 3.2. 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 352,083 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 14 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.