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International veterinary epilepsy task force consensus proposal: diagnostic approach to epilepsy in dogs

Overview of attention for article published in BMC Veterinary Research, August 2015
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
4 tweeters
facebook
3 Facebook pages

Citations

dimensions_citation
151 Dimensions

Readers on

mendeley
380 Mendeley
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Title
International veterinary epilepsy task force consensus proposal: diagnostic approach to epilepsy in dogs
Published in
BMC Veterinary Research, August 2015
DOI 10.1186/s12917-015-0462-1
Pubmed ID
Authors

Luisa De Risio, Sofie Bhatti, Karen Muñana, Jacques Penderis, Veronika Stein, Andrea Tipold, Mette Berendt, Robyn Farqhuar, Andrea Fischer, Sam Long, Paul JJ. Mandigers, Kaspar Matiasek, Rowena MA Packer, Akos Pakozdy, Ned Patterson, Simon Platt, Michael Podell, Heidrun Potschka, Martí Pumarola Batlle, Clare Rusbridge, Holger A. Volk

Abstract

This article outlines the consensus proposal on diagnosis of epilepsy in dogs by the International Veterinary Epilepsy Task Force. The aim of this consensus proposal is to improve consistency in the diagnosis of epilepsy in the clinical and research settings. The diagnostic approach to the patient presenting with a history of suspected epileptic seizures incorporates two fundamental steps: to establish if the events the animal is demonstrating truly represent epileptic seizures and if so, to identify their underlying cause. Differentiation of epileptic seizures from other non-epileptic episodic paroxysmal events can be challenging. Criteria that can be used to make this differentiation are presented in detail and discussed. Criteria for the diagnosis of idiopathic epilepsy (IE) are described in a three-tier system. Tier I confidence level for the diagnosis of IE is based on a history of two or more unprovoked epileptic seizures occurring at least 24 h apart, age at epileptic seizure onset of between six months and six years, unremarkable inter-ictal physical and neurological examination, and no significant abnormalities on minimum data base blood tests and urinalysis. Tier II confidence level for the diagnosis of IE is based on the factors listed in tier I and unremarkable fasting and post-prandial bile acids, magnetic resonance imaging (MRI) of the brain (based on an epilepsy-specific brain MRI protocol) and cerebrospinal fluid (CSF) analysis. Tier III confidence level for the diagnosis of IE is based on the factors listed in tier I and II and identification of electroencephalographic abnormalities characteristic for seizure disorders. The authors recommend performing MRI of the brain and routine CSF analysis, after exclusion of reactive seizures, in dogs with age at epileptic seizure onset <6 months or >6 years, inter-ictal neurological abnormalities consistent with intracranial neurolocalisation, status epilepticus or cluster seizure at epileptic seizure onset, or a previous presumptive diagnosis of IE and drug-resistance with a single antiepileptic drug titrated to the highest tolerable dose.This consensus article represents the basis for a more standardised diagnostic approach to the seizure patient. These recommendations will evolve over time with advances in neuroimaging, electroencephalography, and molecular genetics of canine epilepsy.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 380 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Unknown 379 100%

Demographic breakdown

Readers by professional status Count As %
Other 53 14%
Student > Master 42 11%
Student > Bachelor 38 10%
Student > Postgraduate 37 10%
Student > Doctoral Student 31 8%
Other 82 22%
Unknown 97 26%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 188 49%
Medicine and Dentistry 44 12%
Agricultural and Biological Sciences 20 5%
Neuroscience 6 2%
Biochemistry, Genetics and Molecular Biology 4 1%
Other 17 4%
Unknown 101 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 25 January 2023.
All research outputs
#1,617,780
of 23,012,811 outputs
Outputs from BMC Veterinary Research
#87
of 3,065 outputs
Outputs of similar age
#23,262
of 268,646 outputs
Outputs of similar age from BMC Veterinary Research
#3
of 77 outputs
Altmetric has tracked 23,012,811 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,065 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 97% 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 268,646 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 77 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 96% of its contemporaries.