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Clinical Risk Factors Associated with Anti-Epileptic Drug Responsiveness in Canine Epilepsy

Overview of attention for article published in PLOS ONE, August 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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1 news outlet
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2 X users
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1 Facebook page

Citations

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50 Dimensions

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142 Mendeley
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Title
Clinical Risk Factors Associated with Anti-Epileptic Drug Responsiveness in Canine Epilepsy
Published in
PLOS ONE, August 2014
DOI 10.1371/journal.pone.0106026
Pubmed ID
Authors

Rowena M. A. Packer, Nadia K. Shihab, Bruno B. J. Torres, Holger A. Volk

Abstract

The nature and occurrence of remission, and conversely, pharmacoresistance following epilepsy treatment is still not fully understood in human or veterinary medicine. As such, predicting which patients will have good or poor treatment outcomes is imprecise, impeding patient management. In the present study, we use a naturally occurring animal model of pharmacoresistant epilepsy to investigate clinical risk factors associated with treatment outcome. Dogs with idiopathic epilepsy, for which no underlying cause was identified, were treated at a canine epilepsy clinic and monitored following discharge from a small animal referral hospital. Clinical data was gained via standardised owner questionnaires and longitudinal follow up data was gained via telephone interview with the dogs' owners. At follow up, 14% of treated dogs were in seizure-free remission. Dogs that did not achieve remission were more likely to be male, and to have previously experienced cluster seizures. Seizure frequency or the total number of seizures prior to treatment were not significant predictors of pharmacoresistance, demonstrating that seizure density, that is, the temporal pattern of seizure activity, is a more influential predictor of pharmacoresistance. These results are in line with clinical studies of human epilepsy, and experimental rodent models of epilepsy, that patients experiencing episodes of high seizure density (cluster seizures), not just a high seizure frequency pre-treatment, are at an increased risk of drug-refractoriness. These data provide further evidence that the dog could be a useful naturally occurring epilepsy model in the study of pharmacoresistant epilepsy.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 142 100%

Demographic breakdown

Readers by professional status Count As %
Other 25 18%
Student > Bachelor 15 11%
Student > Postgraduate 12 8%
Researcher 11 8%
Student > Doctoral Student 11 8%
Other 30 21%
Unknown 38 27%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 57 40%
Medicine and Dentistry 25 18%
Agricultural and Biological Sciences 6 4%
Neuroscience 6 4%
Biochemistry, Genetics and Molecular Biology 2 1%
Other 8 6%
Unknown 38 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 July 2015.
All research outputs
#2,933,579
of 22,761,738 outputs
Outputs from PLOS ONE
#38,997
of 194,198 outputs
Outputs of similar age
#31,657
of 235,902 outputs
Outputs of similar age from PLOS ONE
#856
of 4,908 outputs
Altmetric has tracked 22,761,738 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 194,198 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has done well, scoring higher than 79% 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 235,902 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 4,908 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.