| Title |
Bringing metabolic networks to life: convenience rate law and thermodynamic constraints
|
|---|---|
| Published in |
Theoretical Biology and Medical Modelling, December 2006
|
| DOI | 10.1186/1742-4682-3-41 |
| Pubmed ID | |
| Authors |
Wolfram Liebermeister, Edda Klipp |
| Abstract |
Translating a known metabolic network into a dynamic model requires rate laws for all chemical reactions. The mathematical expressions depend on the underlying enzymatic mechanism; they can become quite involved and may contain a large number of parameters. Rate laws and enzyme parameters are still unknown for most enzymes. |
Mendeley readers
The data shown below were compiled from readership statistics for 297 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 8 | 3% |
| United States | 6 | 2% |
| Switzerland | 2 | <1% |
| Netherlands | 2 | <1% |
| Portugal | 2 | <1% |
| France | 1 | <1% |
| Norway | 1 | <1% |
| Latvia | 1 | <1% |
| Hong Kong | 1 | <1% |
| Other | 10 | 3% |
| Unknown | 263 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 88 | 30% |
| Researcher | 57 | 19% |
| Student > Master | 30 | 10% |
| Student > Bachelor | 19 | 6% |
| Student > Doctoral Student | 16 | 5% |
| Other | 48 | 16% |
| Unknown | 39 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 107 | 36% |
| Biochemistry, Genetics and Molecular Biology | 46 | 15% |
| Engineering | 33 | 11% |
| Chemical Engineering | 21 | 7% |
| Computer Science | 19 | 6% |
| Other | 30 | 10% |
| Unknown | 41 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 13 April 2012.
All research outputs
#5,842,421
of 22,664,267 outputs
Outputs from Theoretical Biology and Medical Modelling
#71
of 287 outputs
Outputs of similar age
#32,563
of 155,992 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#1
of 4 outputs
Altmetric has tracked 22,664,267 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 287 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has done well, scoring higher than 75% 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 155,992 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them