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A fully caninised anti-NGF monoclonal antibody for pain relief in dogs

Overview of attention for article published in BMC Veterinary Research, November 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

blogs
1 blog
twitter
2 X users
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15 patents
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1 research highlight platform

Citations

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33 Dimensions

Readers on

mendeley
68 Mendeley
Title
A fully caninised anti-NGF monoclonal antibody for pain relief in dogs
Published in
BMC Veterinary Research, November 2013
DOI 10.1186/1746-6148-9-226
Pubmed ID
Authors

David P Gearing, Elena R Virtue, Robert P Gearing, Alexander C Drew

Abstract

Monoclonal antibodies are a major class of biological therapies in human medicine but have not yet been successfully applied to veterinary species. We have developed a novel approach, PETisation, to rapidly convert antibodies for use in veterinary species. As an example, anti-nerve growth factor (anti-NGF) monoclonal antibodies (mAbs) which are effective in reducing acute and chronic pain in rodents and man are potentially useful for treating pain in dogs but a fully caninised mAb is required in order to avoid an immune response. The aim of this study was to determine the optimal properties of a caninised anti-NGF mAb for safe, repeated administration to dogs, to determine its pharmacokinetic properties and to evaluate its efficacy in a model of inflammatory pain in vivo.

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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 1%
Australia 1 1%
Unknown 66 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 16%
Student > Ph. D. Student 11 16%
Student > Bachelor 7 10%
Student > Master 7 10%
Other 5 7%
Other 9 13%
Unknown 18 26%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 19 28%
Agricultural and Biological Sciences 10 15%
Biochemistry, Genetics and Molecular Biology 7 10%
Medicine and Dentistry 6 9%
Immunology and Microbiology 2 3%
Other 3 4%
Unknown 21 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 24 August 2023.
All research outputs
#1,760,418
of 25,374,647 outputs
Outputs from BMC Veterinary Research
#99
of 3,298 outputs
Outputs of similar age
#16,263
of 227,988 outputs
Outputs of similar age from BMC Veterinary Research
#1
of 48 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,298 research outputs from this source. They receive a mean Attention Score of 4.3. 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 227,988 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 92% of its contemporaries.
We're also able to compare this research output to 48 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 97% of its contemporaries.