| Title |
Generalized in vitro-in vivo relationship (IVIVR) model based on artificial neural networks
|
|---|---|
| Published in |
Drug Design, Development and Therapy, March 2013
|
| DOI | 10.2147/dddt.s41401 |
| Pubmed ID | |
| Authors |
Aleksander Mendyk, Paweł K Tuszyński, Sebastian Polak, Renata Jachowicz |
| Abstract |
The aim of this study was to develop a generalized in vitro-in vivo relationship (IVIVR) model based on in vitro dissolution profiles together with quantitative and qualitative composition of dosage formulations as covariates. Such a model would be of substantial aid in the early stages of development of a pharmaceutical formulation, when no in vivo results are yet available and it is impossible to create a classical in vitro-in vivo correlation (IVIVC)/IVIVR. |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 24% |
| Researcher | 6 | 13% |
| Student > Master | 5 | 11% |
| Lecturer | 4 | 9% |
| Professor | 3 | 7% |
| Other | 7 | 16% |
| Unknown | 9 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 14 | 31% |
| Medicine and Dentistry | 6 | 13% |
| Agricultural and Biological Sciences | 5 | 11% |
| Computer Science | 2 | 4% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Other | 7 | 16% |
| Unknown | 9 | 20% |
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 27 March 2013.
All research outputs
#22,758,309
of 25,373,627 outputs
Outputs from Drug Design, Development and Therapy
#1,754
of 2,268 outputs
Outputs of similar age
#182,226
of 206,318 outputs
Outputs of similar age from Drug Design, Development and Therapy
#16
of 23 outputs
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So far Altmetric has tracked 2,268 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.