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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A graphical method for practical and informative identifiability analyses of physiological models: A case study of insulin kinetics and sensitivity
|
|---|---|
| Published in |
BioMedical Engineering OnLine, May 2011
|
| DOI | 10.1186/1475-925x-10-39 |
| Pubmed ID | |
| Authors |
Paul D Docherty, J Geoffrey Chase, Thomas F Lotz, Thomas Desaive |
| Abstract |
Derivative based a-priori structural identifiability analyses of mathematical models can offer valuable insight into the identifiability of model parameters. However, these analyses are only capable of a binary confirmation of the mathematical distinction of parameters and a positive outcome can begin to lose relevance when measurement error is introduced. This article presents an integral based method that allows the observation of the identifiability of models with two-parameters in the presence of assay error. |
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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| New Zealand | 1 | 2% |
| Netherlands | 1 | 2% |
| Unknown | 47 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 26% |
| Student > Ph. D. Student | 12 | 24% |
| Other | 5 | 10% |
| Student > Bachelor | 3 | 6% |
| Student > Postgraduate | 2 | 4% |
| Other | 7 | 14% |
| Unknown | 8 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 18 | 36% |
| Medicine and Dentistry | 8 | 16% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Sports and Recreations | 2 | 4% |
| Physics and Astronomy | 2 | 4% |
| Other | 7 | 14% |
| Unknown | 11 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 28 June 2013.
All research outputs
#17,283,763
of 25,371,288 outputs
Outputs from BioMedical Engineering OnLine
#459
of 867 outputs
Outputs of similar age
#93,644
of 123,439 outputs
Outputs of similar age from BioMedical Engineering OnLine
#9
of 10 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 867 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
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 123,439 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one.