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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Electroencephalographic profiles for differentiation of disorders of consciousness
|
|---|---|
| Published in |
BioMedical Engineering OnLine, October 2013
|
| DOI | 10.1186/1475-925x-12-109 |
| Pubmed ID | |
| Authors |
Urszula Malinowska, Camille Chatelle, Marie-Aurélie Bruno, Quentin Noirhomme, Steven Laureys, Piotr J Durka |
| Abstract |
Electroencephalography (EEG) is best suited for long-term monitoring of brain functions in patients with disorders of consciousness (DOC). Mathematical tools are needed to facilitate efficient interpretation of long-duration sleep-wake EEG recordings. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Egypt | 1 | 50% |
| Mexico | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Poland | 1 | <1% |
| Switzerland | 1 | <1% |
| Unknown | 129 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 14% |
| Student > Master | 19 | 14% |
| Student > Ph. D. Student | 17 | 13% |
| Student > Bachelor | 16 | 12% |
| Professor > Associate Professor | 11 | 8% |
| Other | 26 | 20% |
| Unknown | 24 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 17% |
| Neuroscience | 21 | 16% |
| Agricultural and Biological Sciences | 15 | 11% |
| Engineering | 10 | 8% |
| Psychology | 9 | 7% |
| Other | 23 | 17% |
| Unknown | 31 | 23% |
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 31 January 2014.
All research outputs
#16,046,765
of 25,371,288 outputs
Outputs from BioMedical Engineering OnLine
#406
of 867 outputs
Outputs of similar age
#128,883
of 224,352 outputs
Outputs of similar age from BioMedical Engineering OnLine
#6
of 20 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 867 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has gotten more attention than average, scoring higher than 51% 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 224,352 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 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.