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Rhythmical and Periodic EEG Patterns Do Not Predict Short-term Outcome in Critically Ill Patients With Subarachnoid Hemorrhage

Overview of attention for article published in Journal of clinical neurophysiology, June 2013
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Article details
Title
Rhythmical and Periodic EEG Patterns Do Not Predict Short-term Outcome in Critically Ill Patients With Subarachnoid Hemorrhage
Published in
Journal of clinical neurophysiology, June 2013
DOI 10.1097/wnp.0b013e3182933d2f
Pubmed ID
Authors
Abstract

Nonconvulsive seizures and nonconvulsive status epilepticus commonly occur in patients with aneurysmal subarachnoid hemorrhages. When continuous EEG is used in patients in the neuro-intensive care unit, rhythmical and periodic patterns of uncertain significance are frequently encountered. It is unknown how these findings impact patient outcome.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 87 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 %
Japan 1 1%
United Kingdom 1 1%
Ethiopia 1 1%
Switzerland 1 1%
Unknown 83 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 14 16%
Student > Bachelor 8 9%
Student > Master 8 9%
Student > Doctoral Student 7 8%
Professor > Associate Professor 7 8%
Other 23 26%
Unknown 20 23%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 46 53%
Neuroscience 7 8%
Nursing and Health Professions 3 3%
Arts and Humanities 1 1%
Biochemistry, Genetics and Molecular Biology 1 1%
Other 5 6%
Unknown 24 28%
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 04 June 2013.
All research outputs
#31,227,209
of 34,410,315 outputs
Outputs from Journal of clinical neurophysiology
#1,157
of 1,287 outputs
Outputs of similar age
#215,816
of 240,443 outputs
Outputs of similar age from Journal of clinical neurophysiology
#4
of 12 outputs
Altmetric has tracked 34,410,315 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,287 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 1st percentile – i.e., 1% 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 240,443 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.