↓ Skip to main content

PLOS

The Assessment of Post-Vasectomy Pain in Mice Using Behaviour and the Mouse Grimace Scale

Overview of attention for article published in PLOS ONE, April 2012
Altmetric Badge

Mentioned by

twitter
2 X users
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
173 Dimensions

Readers on

mendeley
222 Mendeley
Title
The Assessment of Post-Vasectomy Pain in Mice Using Behaviour and the Mouse Grimace Scale
Published in
PLOS ONE, April 2012
DOI 10.1371/journal.pone.0035656
Pubmed ID
Authors

Matthew C. Leach, Kristel Klaus, Amy L. Miller, Maud Scotto di Perrotolo, Susana G. Sotocinal, Paul A. Flecknell

Abstract

Current behaviour-based pain assessments for laboratory rodents have significant limitations. Assessment of facial expression changes, as a novel means of pain scoring, may overcome some of these limitations. The Mouse Grimace Scale appears to offer a means of assessing post-operative pain in mice that is as effective as manual behavioural-based scoring, without the limitations of such schemes. Effective assessment of post-operative pain is not only critical for animal welfare, but also the validity of science using animal models.

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 222 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
United Kingdom 1 <1%
Unknown 219 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 41 18%
Student > Ph. D. Student 38 17%
Student > Bachelor 25 11%
Researcher 22 10%
Other 13 6%
Other 40 18%
Unknown 43 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 61 27%
Veterinary Science and Veterinary Medicine 38 17%
Medicine and Dentistry 27 12%
Biochemistry, Genetics and Molecular Biology 11 5%
Neuroscience 7 3%
Other 28 13%
Unknown 50 23%