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Predictability and Resetting in a Case of Convulsive Status Epilepticus

Overview of attention for article published in Frontiers in Neurology, March 2018
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3 X users

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15 Mendeley
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Title
Predictability and Resetting in a Case of Convulsive Status Epilepticus
Published in
Frontiers in Neurology, March 2018
DOI 10.3389/fneur.2018.00172
Pubmed ID
Authors

Timothy Hutson, Diana Pizarro, Sandipan Pati, Leon D. Iasemidis

Abstract

In this case study, we present evidence of resetting of brain dynamics following convulsive status epilepticus (SE) that was treated successfully with antiepileptic medications (AEDs). The measure of effective inflow (EI), a novel measure of network connectivity, was applied to the continuously recorded multichannel intracranial stereoelectroencephalographic (SEEG) signals before, during and after SE. Results from this analysis indicate trends of progressive reduction of EI over hours up to the onset of SE, mainly at sites of the epileptogenic focus with reversal of those trends upon successful treatment of SE by AEDs. The proposed analytical framework is promising for elucidation of the pathology of neuronal network dynamics that could lead to SE, evaluation of the efficacy of SE treatment strategies, as well as the development of biomarkers for susceptibility to SE.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 13%
Student > Ph. D. Student 2 13%
Student > Doctoral Student 1 7%
Student > Master 1 7%
Researcher 1 7%
Other 2 13%
Unknown 6 40%
Readers by discipline Count As %
Medicine and Dentistry 3 20%
Engineering 2 13%
Nursing and Health Professions 1 7%
Neuroscience 1 7%
Unspecified 1 7%
Other 0 0%
Unknown 7 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 26 March 2018.
All research outputs
#15,161,914
of 23,318,744 outputs
Outputs from Frontiers in Neurology
#6,283
of 12,238 outputs
Outputs of similar age
#202,160
of 333,351 outputs
Outputs of similar age from Frontiers in Neurology
#133
of 262 outputs
Altmetric has tracked 23,318,744 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,238 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 333,351 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 262 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.