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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Exploring the Characterization and Classification of EEG Signals for a Computer-Aided Epilepsy Diagnosis System
|
|---|---|
| Chapter number | 19 |
| Book title |
Lecture Notes in Computer Science
|
| Published in |
Lecture notes in computer science, December 2019
|
| DOI | 10.1007/978-3-030-37078-7_19 |
| Book ISBNs |
978-3-03-037077-0, 978-3-03-037078-7
|
| Authors |
Emil Vega-Gualán, Andrés Vargas, Miguel Becerra, Ana Umaquinga, Jaime A. Riascos, Diego Peluffo, Vega-Gualán, Emil, Vargas, Andrés, Becerra, Miguel, Umaquinga, Ana, Riascos, Jaime A., Peluffo, Diego |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ecuador | 4 | 31% |
| Spain | 1 | 8% |
| United States | 1 | 8% |
| United Kingdom | 1 | 8% |
| Unknown | 6 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 92% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 18% |
| Professor | 2 | 18% |
| Lecturer | 1 | 9% |
| Student > Bachelor | 1 | 9% |
| Student > Postgraduate | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 4 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 36% |
| Economics, Econometrics and Finance | 1 | 9% |
| Engineering | 1 | 9% |
| Unknown | 5 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 07 December 2019.
All research outputs
#3,048,567
of 24,205,409 outputs
Outputs from Lecture notes in computer science
#610
of 8,179 outputs
Outputs of similar age
#70,982
of 466,746 outputs
Outputs of similar age from Lecture notes in computer science
#9
of 27 outputs
Altmetric has tracked 24,205,409 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,179 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 92% 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 466,746 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 84% of its contemporaries.
We're also able to compare this research output to 27 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 70% of its contemporaries.