| Title |
An ensemble evolutionary constraint-based approach to understand the emergence of metabolic phenotypes
|
|---|---|
| Published in |
Natural Computing, July 2014
|
| DOI | 10.1007/s11047-014-9439-4 |
| Authors |
Chiara Damiani, Dario Pescini, Riccardo Colombo, Sara Molinari, Lilia Alberghina, Marco Vanoni, Giancarlo Mauri |
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 % |
|---|---|---|
| Italy | 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 4% |
| United States | 1 | 4% |
| Italy | 1 | 4% |
| Unknown | 20 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 39% |
| Other | 2 | 9% |
| Professor | 2 | 9% |
| Student > Doctoral Student | 2 | 9% |
| Student > Master | 2 | 9% |
| Other | 2 | 9% |
| Unknown | 4 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 26% |
| Computer Science | 5 | 22% |
| Biochemistry, Genetics and Molecular Biology | 4 | 17% |
| Mathematics | 1 | 4% |
| Chemical Engineering | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 5 | 22% |
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 07 July 2014.
All research outputs
#18,374,472
of 22,758,248 outputs
Outputs from Natural Computing
#115
of 143 outputs
Outputs of similar age
#163,075
of 227,325 outputs
Outputs of similar age from Natural Computing
#8
of 11 outputs
Altmetric has tracked 22,758,248 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 143 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 9th percentile – i.e., 9% 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 227,325 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 11 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.