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Drug-Resistant Epilepsy: Multiple Hypotheses, Few Answers

Overview of attention for article published in Frontiers in Neurology, July 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
11 news outlets
blogs
1 blog
twitter
15 X users
facebook
1 Facebook page

Citations

dimensions_citation
347 Dimensions

Readers on

mendeley
499 Mendeley
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Title
Drug-Resistant Epilepsy: Multiple Hypotheses, Few Answers
Published in
Frontiers in Neurology, July 2017
DOI 10.3389/fneur.2017.00301
Pubmed ID
Authors

Fei Tang, Anika M. S. Hartz, Björn Bauer

Abstract

Epilepsy is a common neurological disorder that affects over 70 million people worldwide. Despite the recent introduction of new antiseizure drugs (ASDs), about one-third of patients with epilepsy have seizures refractory to pharmacotherapy. Early identification of patients who will become refractory to ASDs could help direct such patients to appropriate non-pharmacological treatment, but the complexity in the temporal patterns of epilepsy could make such identification difficult. The target hypothesis and transporter hypothesis are the most cited theories trying to explain refractory epilepsy, but neither theory alone fully explains the neurobiological basis of pharmacoresistance. This review summarizes evidence for and against several major theories, including the pharmacokinetic hypothesis, neural network hypothesis, intrinsic severity hypothesis, gene variant hypothesis, target hypothesis, and transporter hypothesis. The discussion is mainly focused on the transporter hypothesis, where clinical and experimental data are discussed on multidrug transporter overexpression, substrate profiles of ASDs, mechanism of transporter upregulation, polymorphisms of transporters, and the use of transporter inhibitors. Finally, future perspectives are presented for the improvement of current hypotheses and the development of treatment strategies as guided by the current understanding of refractory epilepsy.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 499 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 499 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 63 13%
Student > Bachelor 57 11%
Student > Master 51 10%
Researcher 40 8%
Student > Doctoral Student 34 7%
Other 82 16%
Unknown 172 34%
Readers by discipline Count As %
Medicine and Dentistry 75 15%
Neuroscience 64 13%
Pharmacology, Toxicology and Pharmaceutical Science 53 11%
Biochemistry, Genetics and Molecular Biology 44 9%
Agricultural and Biological Sciences 24 5%
Other 54 11%
Unknown 185 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 101. 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 22 November 2023.
All research outputs
#433,562
of 25,944,331 outputs
Outputs from Frontiers in Neurology
#138
of 14,821 outputs
Outputs of similar age
#8,882
of 330,822 outputs
Outputs of similar age from Frontiers in Neurology
#4
of 199 outputs
Altmetric has tracked 25,944,331 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,821 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done particularly well, scoring higher than 99% 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 330,822 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 97% of its contemporaries.
We're also able to compare this research output to 199 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.