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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Towards a genome-scale kinetic model of cellular metabolism
|
|---|---|
| Published in |
BMC Systems Biology, January 2010
|
| DOI | 10.1186/1752-0509-4-6 |
| Pubmed ID | |
| Authors |
Kieran Smallbone, Evangelos Simeonidis, Neil Swainston, Pedro Mendes |
| Abstract |
Advances in bioinformatic techniques and analyses have led to the availability of genome-scale metabolic reconstructions. The size and complexity of such networks often means that their potential behaviour can only be analysed with constraint-based methods. Whilst requiring minimal experimental data, such methods are unable to give insight into cellular substrate concentrations. Instead, the long-term goal of systems biology is to use kinetic modelling to characterize fully the mechanics of each enzymatic reaction, and to combine such knowledge to predict system behaviour. |
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 263 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | <1% |
| United Kingdom | 1 | <1% |
| China | 1 | <1% |
| Unknown | 259 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 5% |
| Student > Ph. D. Student | 12 | 5% |
| Researcher | 7 | 3% |
| Student > Bachelor | 4 | 2% |
| Other | 3 | 1% |
| Other | 7 | 3% |
| Unknown | 218 | 83% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 5% |
| Agricultural and Biological Sciences | 8 | 3% |
| Engineering | 4 | 2% |
| Mathematics | 3 | 1% |
| Biochemistry, Genetics and Molecular Biology | 3 | 1% |
| Other | 7 | 3% |
| Unknown | 225 | 86% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 08 October 2012.
All research outputs
#3,636,851
of 22,681,577 outputs
Outputs from BMC Systems Biology
#101
of 1,142 outputs
Outputs of similar age
#21,361
of 164,485 outputs
Outputs of similar age from BMC Systems Biology
#2
of 5 outputs
Altmetric has tracked 22,681,577 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 91% 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 164,485 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 87% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.