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Mendeley readers
Attention Score in Context
| Title |
A procedure for generating bootstrap samples for the validation of nonlinear mixed-effects population models
|
|---|---|
| Published in |
Computer Methods & Programs in Biomedicine, April 1999
|
| DOI | 10.1016/s0169-2607(98)00098-4 |
| Pubmed ID | |
| Authors |
John Parke, Nicholas H.G. Holford, Bruce G. Charles |
| Abstract |
A method is presented for automated preparation of bootstrap data samples and their presentation to NONMEM for use in the validation of population pharmacokinetic or pharmacodynamic models, which have been developed with relatively small numbers of subjects. The bootstrap sampling procedure involves the use of an MS-DOS batch file and a script file for use with the public-domain text processing program, AWK, which is a single EXE file (48k in size for the version used in this report). A UNIX version of AWK is also available and UNIX users can adapt the process to their needs. Its use obviates the need for expensive, high-end statistical packages and associated script files written using in-built programming languages. The method can easily be adapted to bootstrap sampling requirements in other biomedical modelling applications. |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| New Zealand | 1 | 1% |
| United States | 1 | 1% |
| Germany | 1 | 1% |
| Australia | 1 | 1% |
| Unknown | 66 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 26% |
| Researcher | 12 | 17% |
| Student > Master | 8 | 11% |
| Student > Doctoral Student | 5 | 7% |
| Other | 5 | 7% |
| Other | 11 | 16% |
| Unknown | 11 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 33% |
| Pharmacology, Toxicology and Pharmaceutical Science | 17 | 24% |
| Agricultural and Biological Sciences | 5 | 7% |
| Mathematics | 3 | 4% |
| Engineering | 2 | 3% |
| Other | 7 | 10% |
| Unknown | 13 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 04 April 2017.
All research outputs
#8,544,090
of 25,394,764 outputs
Outputs from Computer Methods & Programs in Biomedicine
#516
of 2,060 outputs
Outputs of similar age
#11,944
of 37,052 outputs
Outputs of similar age from Computer Methods & Programs in Biomedicine
#2
of 3 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,060 research outputs from this source. They receive a mean Attention Score of 3.3. 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 37,052 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.