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X Demographics
Mendeley readers
Attention Score in Context
| Title |
EEG Based Monitoring of General Anesthesia: Taking the Next Steps
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, June 2017
|
| DOI | 10.3389/fncom.2017.00056 |
| Pubmed ID | |
| Authors |
Matthias Kreuzer |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 13% |
| United Kingdom | 1 | 13% |
| Switzerland | 1 | 13% |
| United States | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 2 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 108 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 18% |
| Student > Bachelor | 15 | 14% |
| Student > Ph. D. Student | 14 | 13% |
| Professor | 9 | 8% |
| Other | 7 | 6% |
| Other | 18 | 17% |
| Unknown | 26 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 31 | 29% |
| Neuroscience | 16 | 15% |
| Engineering | 13 | 12% |
| Biochemistry, Genetics and Molecular Biology | 4 | 4% |
| Computer Science | 3 | 3% |
| Other | 8 | 7% |
| Unknown | 33 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 2023.
All research outputs
#3,445,711
of 25,002,811 outputs
Outputs from Frontiers in Computational Neuroscience
#149
of 1,435 outputs
Outputs of similar age
#58,604
of 322,161 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#4
of 41 outputs
Altmetric has tracked 25,002,811 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,435 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done well, scoring higher than 89% 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 322,161 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.