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The epilepsy bioinformatics study for anti-epileptogenic therapy (EpiBioS4Rx) clinical biomarker: Study design and protocol

Overview of attention for article published in Neurobiology of Disease, July 2018
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Article details
Title
The epilepsy bioinformatics study for anti-epileptogenic therapy (EpiBioS4Rx) clinical biomarker: Study design and protocol
Published in
Neurobiology of Disease, July 2018
DOI 10.1016/j.nbd.2018.07.025
Pubmed ID
Authors
Abstract

The Epilepsy Bioinformatics Study for Anti-epileptogenic Therapy (EpiBioS4Rx) is a longitudinal prospective observational study funded by the National Institute of Health (NIH) to discover and validate observational biomarkers of epileptogenesis after traumatic brain injury (TBI). A multidisciplinary approach has been incorporated to investigate acute electrical, neuroanatomical, and blood biomarkers after TBI that may predict the development of post-traumatic epilepsy (PTE). We plan to enroll 300 moderate-severe TBI patients with a frontal and/or temporal lobe hemorrhagic contusion. Acute evaluation with blood, imaging and electroencephalographic monitoring will be performed and then patients will be tracked for 2 years to determine the incidence of PTE. Validation of selected biomarkers that are discovered in planned animal models will be a principal feature of this work. Specific hypotheses regarding the discovery of biomarkers have been set forth in this study. An international cohort of 13 centers spanning 2 continents will be developed to facilitate this study, and for future interventional studies.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 86 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Professor 8 9%
Other 7 8%
Student > Master 7 8%
Researcher 7 8%
Student > Doctoral Student 6 7%
Other 15 17%
Unknown 36 42%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 13 15%
Neuroscience 12 14%
Biochemistry, Genetics and Molecular Biology 4 5%
Psychology 4 5%
Agricultural and Biological Sciences 3 3%
Other 11 13%
Unknown 39 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 27 July 2018.
All research outputs
#17,292,294
of 25,385,509 outputs
Outputs from Neurobiology of Disease
#2,688
of 3,390 outputs
Outputs of similar age
#220,071
of 340,859 outputs
Outputs of similar age from Neurobiology of Disease
#53
of 65 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,390 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one is in the 15th percentile – i.e., 15% 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 340,859 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.