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Mendeley readers
Attention Score in Context
| Title |
Modeling metabolic networks in C. glutamicum: a comparison of rate laws in combination with various parameter optimization strategies
|
|---|---|
| Published in |
BMC Systems Biology, January 2009
|
| DOI | 10.1186/1752-0509-3-5 |
| Pubmed ID | |
| Authors |
Andreas Dräger, Marcel Kronfeld, Michael J Ziller, Jochen Supper, Hannes Planatscher, Jørgen B Magnus, Marco Oldiges, Oliver Kohlbacher, Andreas Zell |
| Abstract |
To understand the dynamic behavior of cellular systems, mathematical modeling is often necessary and comprises three steps: (1) experimental measurement of participating molecules, (2) assignment of rate laws to each reaction, and (3) parameter calibration with respect to the measurements. In each of these steps the modeler is confronted with a plethora of alternative approaches, e. g., the selection of approximative rate laws in step two as specific equations are often unknown, or the choice of an estimation procedure with its specific settings in step three. This overall process with its numerous choices and the mutual influence between them makes it hard to single out the best modeling approach for a given problem. |
Mendeley readers
The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 4 | 4% |
| Portugal | 1 | <1% |
| Malaysia | 1 | <1% |
| Czechia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Taiwan | 1 | <1% |
| Denmark | 1 | <1% |
| China | 1 | <1% |
| Spain | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 97 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 30 | 27% |
| Researcher | 28 | 25% |
| Student > Master | 13 | 12% |
| Professor | 7 | 6% |
| Student > Doctoral Student | 6 | 5% |
| Other | 15 | 14% |
| Unknown | 11 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 42 | 38% |
| Biochemistry, Genetics and Molecular Biology | 16 | 15% |
| Computer Science | 16 | 15% |
| Engineering | 10 | 9% |
| Chemistry | 2 | 2% |
| Other | 12 | 11% |
| Unknown | 12 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 11 February 2016.
All research outputs
#7,453,479
of 22,786,691 outputs
Outputs from BMC Systems Biology
#314
of 1,142 outputs
Outputs of similar age
#49,255
of 170,160 outputs
Outputs of similar age from BMC Systems Biology
#4
of 16 outputs
Altmetric has tracked 22,786,691 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% 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 has gotten more attention than average, scoring higher than 64% of its peers.
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 170,160 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 16 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.