↓ Skip to main content

Across the consciousness continuum—from unresponsive wakefulness to sleep

Overview of attention for article published in Frontiers in Human Neuroscience, March 2015
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

twitter
8 X users

Citations

dimensions_citation
40 Dimensions

Readers on

mendeley
139 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Across the consciousness continuum—from unresponsive wakefulness to sleep
Published in
Frontiers in Human Neuroscience, March 2015
DOI 10.3389/fnhum.2015.00105
Pubmed ID
Authors

Christine Blume, Renata del Giudice, Malgorzata Wislowska, Julia Lechinger, Manuel Schabus

Abstract

Advances in the development of new paradigms as well as in neuroimaging techniques nowadays enable us to make inferences about the level of consciousness patients with disorders of consciousness (DOC) retain. They, moreover, allow to predict their probable development. Today, we know that certain brain responses (e.g., event-related potentials or oscillatory changes) to stimulation, circadian rhythmicity, the presence or absence of sleep patterns as well as measures of resting state brain activity can serve the diagnostic and prognostic evaluation process. Still, the paradigms we are using nowadays do not allow to disentangle VS/UWS and minimally conscious state (MCS) patients with the desired reliability and validity. Furthermore, even rather well-established methods have, unfortunately, not found their way into clinical routine yet. We here review current literature as well as recent findings from our group and discuss how neuroimaging methods (fMRI, PET) and particularly electroencephalography (EEG) can be used to investigate cognition in DOC or even to assess the degree of residual awareness. We, moreover, propose that circadian rhythmicity and sleep in brain-injured patients are promising fields of research in this context.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 <1%
United States 1 <1%
Sweden 1 <1%
Unknown 136 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 22 16%
Student > Ph. D. Student 21 15%
Researcher 16 12%
Student > Bachelor 12 9%
Professor 9 6%
Other 30 22%
Unknown 29 21%
Readers by discipline Count As %
Neuroscience 27 19%
Psychology 19 14%
Medicine and Dentistry 17 12%
Agricultural and Biological Sciences 14 10%
Engineering 7 5%
Other 13 9%
Unknown 42 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 October 2022.
All research outputs
#6,505,662
of 23,476,369 outputs
Outputs from Frontiers in Human Neuroscience
#2,667
of 7,293 outputs
Outputs of similar age
#73,283
of 260,306 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#83
of 175 outputs
Altmetric has tracked 23,476,369 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 7,293 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one has gotten more attention than average, scoring higher than 62% 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 260,306 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 175 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 52% of its contemporaries.