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An Analysis of the Use of Dogs in Predicting Human Toxicology and Drug Safety

Overview of attention for article published in Alternatives to Laboratory Animals, November 2013
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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 (#19 of 525)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
2 X users

Readers on

mendeley
57 Mendeley
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Article details
Title
An Analysis of the Use of Dogs in Predicting Human Toxicology and Drug Safety
Published in
Alternatives to Laboratory Animals, November 2013
DOI 10.1177/026119291304100504
Pubmed ID
Authors
Abstract

Dogs remain the main non-rodent species in preclinical drug development. Despite the current dearth of new drug approvals and meagre pipelines, this continues, with little supportive evidence of its value or necessity. To estimate the evidential weight provided by canine data to the probability that a new drug may be toxic to humans, we have calculated Likelihood Ratios (LRs) for an extensive dataset of 2,366 drugs with both animal and human data, including tissue-level effects and Medical Dictionary for Regulatory Activities (MedDRA) Level 1-4 biomedical observations. The resulting LRs show that the absence of toxicity in dogs provides virtually no evidence that adverse drug reactions (ADRs) will also be absent in humans. While the LRs suggest that the presence of toxic effects in dogs can provide considerable evidential weight for a risk of potential ADRs in humans, this is highly inconsistent, varying by over two orders of magnitude for different classes of compounds and their effects. Our results therefore have important implications for the value of the dog in predicting human toxicity, and suggest that alternative methods are urgently required.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 4%
Unknown 55 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 18 32%
Student > Ph. D. Student 7 12%
Student > Master 6 11%
Student > Bachelor 5 9%
Other 3 5%
Other 5 9%
Unknown 13 23%
Readers by discipline
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 10 18%
Biochemistry, Genetics and Molecular Biology 6 11%
Agricultural and Biological Sciences 6 11%
Medicine and Dentistry 5 9%
Veterinary Science and Veterinary Medicine 2 4%
Other 11 19%
Unknown 17 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 15 September 2026.
All research outputs
#1,911,046
of 34,336,386 outputs
Outputs from Alternatives to Laboratory Animals
#19
of 525 outputs
Outputs of similar age
#14,964
of 262,623 outputs
Outputs of similar age from Alternatives to Laboratory Animals
#1
of 6 outputs
Altmetric has tracked 34,336,386 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 525 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done particularly well, scoring higher than 96% 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 262,623 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 94% of its contemporaries.
We're also able to compare this research output to 6 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