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The pig as a preclinical model for predicting oral bioavailability and in vivo performance of pharmaceutical oral dosage forms: a PEARRL review

Overview of attention for article published in Journal of Pharmacy & Pharmacology, April 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#31 of 3,156)
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

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2 news outlets
policy
1 policy source
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6 X users
patent
1 patent

Citations

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62 Dimensions

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84 Mendeley
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Title
The pig as a preclinical model for predicting oral bioavailability and in vivo performance of pharmaceutical oral dosage forms: a PEARRL review
Published in
Journal of Pharmacy & Pharmacology, April 2018
DOI 10.1111/jphp.12912
Pubmed ID
Authors

Laura J Henze, Niklas J Koehl, Joseph P O'Shea, Edmund S Kostewicz, René Holm, Brendan T Griffin

Abstract

In pharmaceutical drug development, preclinical tests in animal models are essential to demonstrate whether the new drug is orally bioavailable and to gain a first insight into in vivo pharmacokinetic parameters that can subsequently be used to predict human values. Despite significant advances in the development of bio-predictive in vitro models and increasing ethical expectations for reducing the number of animals used for research purposes, there is still a need for appropriately selected pre-clinical in vivo testing to provide guidance on the decision to progress to testing in humans. The selection of the appropriate animal models is essential both to maximise the learning that can be obtained from such experiments and to avoid unnecessary testing in a range of species. The present review, provides an insight into the suitability of the pig model for predicting oral bioavailability in humans, by comparing the conditions in the GIT. It also contains a comparison between the bioavailability of compounds dosed to both humans and pigs, to provide an insight into the relative correlation and examples on why a lack of correlation may be observed. While there is a general trend towards predicting human bioavailability from pig data, there is considerable variability in the data set, most likely reflecting species specific differences in individual drug metabolism. Nonetheless, the correlation between pigs vs. humans was comparable to that reported for dogs vs. humans. The presented data demonstrate the suitability of the pig as a preclinical model to predict bioavailability in human.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 84 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 20%
Student > Master 9 11%
Student > Bachelor 8 10%
Other 5 6%
Researcher 5 6%
Other 13 15%
Unknown 27 32%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 13 15%
Biochemistry, Genetics and Molecular Biology 6 7%
Medicine and Dentistry 6 7%
Neuroscience 4 5%
Agricultural and Biological Sciences 4 5%
Other 19 23%
Unknown 32 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 28. 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 09 July 2024.
All research outputs
#1,460,061
of 26,367,306 outputs
Outputs from Journal of Pharmacy & Pharmacology
#31
of 3,156 outputs
Outputs of similar age
#30,647
of 347,703 outputs
Outputs of similar age from Journal of Pharmacy & Pharmacology
#1
of 15 outputs
Altmetric has tracked 26,367,306 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,156 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 99% 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 347,703 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.