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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Simulations of pattern dynamics for reaction-diffusion systems via SIMULINK
|
|---|---|
| Published in |
BMC Systems Biology, April 2014
|
| DOI | 10.1186/1752-0509-8-45 |
| Pubmed ID | |
| Authors |
Kaier Wang, Moira L Steyn-Ross, D Alistair Steyn-Ross, Marcus T Wilson, Jamie W Sleigh, Yoichi Shiraishi |
| Abstract |
Investigation of the nonlinear pattern dynamics of a reaction-diffusion system almost always requires numerical solution of the system's set of defining differential equations. Traditionally, this would be done by selecting an appropriate differential equation solver from a library of such solvers, then writing computer codes (in a programming language such as C or Matlab) to access the selected solver and display the integrated results as a function of space and time. This "code-based" approach is flexible and powerful, but requires a certain level of programming sophistication. A modern alternative is to use a graphical programming interface such as Simulink to construct a data-flow diagram by assembling and linking appropriate code blocks drawn from a library. The result is a visual representation of the inter-relationships between the state variables whose output can be made completely equivalent to the code-based solution. |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 1% |
| Portugal | 1 | 1% |
| France | 1 | 1% |
| Germany | 1 | 1% |
| Unknown | 83 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 28% |
| Student > Master | 10 | 11% |
| Researcher | 9 | 10% |
| Professor | 6 | 7% |
| Student > Bachelor | 6 | 7% |
| Other | 17 | 20% |
| Unknown | 15 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 15 | 17% |
| Agricultural and Biological Sciences | 10 | 11% |
| Medicine and Dentistry | 7 | 8% |
| Mathematics | 6 | 7% |
| Chemical Engineering | 5 | 6% |
| Other | 26 | 30% |
| Unknown | 18 | 21% |
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 25 August 2021.
All research outputs
#15,433,483
of 25,775,807 outputs
Outputs from BMC Systems Biology
#487
of 1,132 outputs
Outputs of similar age
#122,956
of 240,737 outputs
Outputs of similar age from BMC Systems Biology
#17
of 36 outputs
Altmetric has tracked 25,775,807 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% 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 has gotten more attention than average, scoring higher than 53% 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 240,737 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.