You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Sampling and sensitivity analyses tools (SaSAT) for computational modelling
|
|---|---|
| Published in |
Theoretical Biology and Medical Modelling, February 2008
|
| DOI | 10.1186/1742-4682-5-4 |
| Pubmed ID | |
| Authors |
Alexander Hoare, David G Regan, David P Wilson |
| Abstract |
SaSAT (Sampling and Sensitivity Analysis Tools) is a user-friendly software package for applying uncertainty and sensitivity analyses to mathematical and computational models of arbitrary complexity and context. The toolbox is built in Matlab, a numerical mathematical software package, and utilises algorithms contained in the Matlab Statistics Toolbox. However, Matlab is not required to use SaSAT as the software package is provided as an executable file with all the necessary supplementary files. The SaSAT package is also designed to work seamlessly with Microsoft Excel but no functionality is forfeited if that software is not available. A comprehensive suite of tools is provided to enable the following tasks to be easily performed: efficient and equitable sampling of parameter space by various methodologies; calculation of correlation coefficients; regression analysis; factor prioritisation; and graphical output of results, including response surfaces, tornado plots, and scatterplots. Use of SaSAT is exemplified by application to a simple epidemic model. To our knowledge, a number of the methods available in SaSAT for performing sensitivity analyses have not previously been used in epidemiological modelling and their usefulness in this context is demonstrated. |
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 % |
|---|---|---|
| United States | 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 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 8 | 6% |
| United States | 4 | 3% |
| Germany | 1 | <1% |
| France | 1 | <1% |
| Italy | 1 | <1% |
| Ghana | 1 | <1% |
| Kenya | 1 | <1% |
| Colombia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 102 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 36 | 29% |
| Student > Ph. D. Student | 26 | 21% |
| Student > Bachelor | 7 | 6% |
| Professor > Associate Professor | 7 | 6% |
| Student > Master | 7 | 6% |
| Other | 24 | 19% |
| Unknown | 17 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 20 | 16% |
| Engineering | 18 | 15% |
| Agricultural and Biological Sciences | 14 | 11% |
| Medicine and Dentistry | 12 | 10% |
| Chemistry | 8 | 6% |
| Other | 23 | 19% |
| Unknown | 29 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 26 March 2018.
All research outputs
#7,358,432
of 23,926,844 outputs
Outputs from Theoretical Biology and Medical Modelling
#90
of 286 outputs
Outputs of similar age
#27,783
of 81,134 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#1
of 1 outputs
Altmetric has tracked 23,926,844 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 286 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one has gotten more attention than average, scoring higher than 66% 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 81,134 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 1 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