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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Cardiac Arrhythmia Detection from ECG with Convolutional Recurrent Neural Networks
|
|---|---|
| Chapter number | 15 |
| Book title |
Biomedical Engineering Systems and Technologies
|
| Published in |
arXiv, May 2020
|
| DOI | 10.1007/978-3-030-46970-2_15 |
| Book ISBNs |
978-3-03-046969-6, 978-3-03-046970-2
|
| Authors |
Jérôme Van Zaen, Ricard Delgado-Gonzalo, Damien Ferrario, Mathieu Lemay, Damien Ferrario Mathieu Lemay, Van Zaen, Jérôme, Delgado-Gonzalo, Ricard, Ferrario, Damien, Lemay, Mathieu |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 25% |
| Student > Master | 2 | 17% |
| Lecturer | 1 | 8% |
| Student > Ph. D. Student | 1 | 8% |
| Other | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 4 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 17% |
| Engineering | 2 | 17% |
| Medicine and Dentistry | 2 | 17% |
| Social Sciences | 1 | 8% |
| Unknown | 5 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 27 October 2022.
All research outputs
#7,758,831
of 24,093,053 outputs
Outputs from arXiv
#168,062
of 1,020,419 outputs
Outputs of similar age
#153,255
of 385,797 outputs
Outputs of similar age from arXiv
#6,535
of 32,412 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,020,419 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 82% 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 385,797 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 59% of its contemporaries.
We're also able to compare this research output to 32,412 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.