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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep learning for ECG Arrhythmia detection and classification: an overview of progress for period 2017–2023
|
|---|---|
| Published in |
Frontiers in Physiology, September 2023
|
| DOI | 10.3389/fphys.2023.1246746 |
| Pubmed ID | |
| Authors |
Yaqoob Ansari, Omar Mourad, Khalid Qaraqe, Erchin Serpedin |
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 % |
|---|---|---|
| Switzerland | 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 16% |
| Researcher | 3 | 7% |
| Professor | 3 | 7% |
| Student > Master | 2 | 5% |
| Other | 1 | 2% |
| Other | 4 | 9% |
| Unknown | 23 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 7 | 16% |
| Computer Science | 5 | 12% |
| Medicine and Dentistry | 2 | 5% |
| Mathematics | 1 | 2% |
| Unspecified | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 25 | 58% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 15 September 2023.
All research outputs
#21,910,053
of 24,417,958 outputs
Outputs from Frontiers in Physiology
#10,188
of 15,007 outputs
Outputs of similar age
#139,885
of 171,247 outputs
Outputs of similar age from Frontiers in Physiology
#87
of 222 outputs
Altmetric has tracked 24,417,958 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,007 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 171,247 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 222 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.