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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A method for zooming of nonlinear models of biochemical systems
|
|---|---|
| Published in |
BMC Systems Biology, September 2011
|
| DOI | 10.1186/1752-0509-5-140 |
| Pubmed ID | |
| Authors |
Mikael Sunnåker, Gunnar Cedersund, Mats Jirstrand |
| Abstract |
Models of biochemical systems are typically complex, which may complicate the discovery of cardinal biochemical principles. It is therefore important to single out the parts of a model that are essential for the function of the system, so that the remaining non-essential parts can be eliminated. However, each component of a mechanistic model has a clear biochemical interpretation, and it is desirable to conserve as much of this interpretability as possible in the reduction process. Furthermore, it is of great advantage if we can translate predictions from the reduced model to the original model. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 4% |
| United States | 2 | 4% |
| Sweden | 1 | 2% |
| Switzerland | 1 | 2% |
| Spain | 1 | 2% |
| Netherlands | 1 | 2% |
| Unknown | 42 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 32% |
| Student > Ph. D. Student | 14 | 28% |
| Student > Master | 6 | 12% |
| Professor > Associate Professor | 3 | 6% |
| Student > Doctoral Student | 3 | 6% |
| Other | 5 | 10% |
| Unknown | 3 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 28% |
| Computer Science | 7 | 14% |
| Mathematics | 6 | 12% |
| Engineering | 5 | 10% |
| Biochemistry, Genetics and Molecular Biology | 4 | 8% |
| Other | 7 | 14% |
| Unknown | 7 | 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 07 September 2011.
All research outputs
#17,286,645
of 25,374,917 outputs
Outputs from BMC Systems Biology
#651
of 1,132 outputs
Outputs of similar age
#96,543
of 136,358 outputs
Outputs of similar age from BMC Systems Biology
#23
of 46 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,132 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 31st percentile – i.e., 31% 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 136,358 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.