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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Stochastic and deterministic multiscale models for systems biology: an auxin-transport case study
|
|---|---|
| Published in |
BMC Systems Biology, March 2010
|
| DOI | 10.1186/1752-0509-4-34 |
| Pubmed ID | |
| Authors |
Jamie Twycross, Leah R Band, Malcolm J Bennett, John R King, Natalio Krasnogor |
| Abstract |
Stochastic and asymptotic methods are powerful tools in developing multiscale systems biology models; however, little has been done in this context to compare the efficacy of these methods. The majority of current systems biology modelling research, including that of auxin transport, uses numerical simulations to study the behaviour of large systems of deterministic ordinary differential equations, with little consideration of alternative modelling frameworks. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 25% |
| Italy | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 4% |
| France | 2 | 2% |
| Italy | 2 | 2% |
| India | 1 | 1% |
| Belgium | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 87 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 25 | 26% |
| Student > Ph. D. Student | 22 | 22% |
| Student > Master | 15 | 15% |
| Student > Bachelor | 9 | 9% |
| Professor | 9 | 9% |
| Other | 14 | 14% |
| Unknown | 4 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 44 | 45% |
| Computer Science | 17 | 17% |
| Engineering | 9 | 9% |
| Biochemistry, Genetics and Molecular Biology | 8 | 8% |
| Mathematics | 5 | 5% |
| Other | 9 | 9% |
| Unknown | 6 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 30 March 2016.
All research outputs
#13,380,993
of 22,703,044 outputs
Outputs from BMC Systems Biology
#476
of 1,142 outputs
Outputs of similar age
#73,990
of 94,635 outputs
Outputs of similar age from BMC Systems Biology
#15
of 16 outputs
Altmetric has tracked 22,703,044 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% 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 55% 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 94,635 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% 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 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.