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Electroencephalography (EEG) for neurological prognostication after cardiac arrest and targeted temperature management; rationale and study design

Overview of attention for article published in BMC Neurology, August 2014
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  • Good Attention Score compared to outputs of the same age and source (65th percentile)

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Citations

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107 Mendeley
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Title
Electroencephalography (EEG) for neurological prognostication after cardiac arrest and targeted temperature management; rationale and study design
Published in
BMC Neurology, August 2014
DOI 10.1186/s12883-014-0159-2
Pubmed ID
Authors

Erik Westhall, Ingmar Rosén, Andrea O Rossetti, Anne-Fleur van Rootselaar, Troels Wesenberg Kjaer, Janneke Horn, Susann Ullén, Hans Friberg, Niklas Nielsen, Tobias Cronberg

Abstract

Electroencephalography (EEG) is widely used to assess neurological prognosis in patients who are comatose after cardiac arrest, but its value is limited by varying definitions of pathological patterns and by inter-rater variability. The American Clinical Neurophysiology Society (ACNS) has recently proposed a standardized EEG-terminology for critical care to address these limitations.

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 <1%
Korea, Republic of 1 <1%
Switzerland 1 <1%
Unknown 104 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 22%
Student > Bachelor 11 10%
Other 9 8%
Student > Postgraduate 6 6%
Professor > Associate Professor 6 6%
Other 20 19%
Unknown 31 29%
Readers by discipline Count As %
Medicine and Dentistry 46 43%
Neuroscience 7 7%
Agricultural and Biological Sciences 4 4%
Engineering 3 3%
Nursing and Health Professions 2 2%
Other 7 7%
Unknown 38 36%
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 09 October 2014.
All research outputs
#14,198,795
of 22,760,687 outputs
Outputs from BMC Neurology
#1,220
of 2,428 outputs
Outputs of similar age
#107,942
of 209,871 outputs
Outputs of similar age from BMC Neurology
#13
of 40 outputs
Altmetric has tracked 22,760,687 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,428 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 45th percentile – i.e., 45% 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 209,871 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.