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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A filter approach for feature selection in classification: application to automatic atrial fibrillation detection in electrocardiogram recordings
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, May 2021
|
| DOI | 10.1186/s12911-021-01427-8 |
| Pubmed ID | |
| Authors |
Pierre Michel, Nicolas Ngo, Jean-François Pons, Stéphane Delliaux, Roch Giorgi |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 3 | 9% |
| Student > Bachelor | 3 | 9% |
| Student > Master | 2 | 6% |
| Student > Doctoral Student | 1 | 3% |
| Librarian | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 20 | 63% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 9% |
| Computer Science | 3 | 9% |
| Business, Management and Accounting | 2 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Environmental Science | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 19 | 59% |
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 21 July 2022.
All research outputs
#14,328,176
of 23,715,461 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,067
of 2,029 outputs
Outputs of similar age
#215,137
of 441,162 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#33
of 58 outputs
Altmetric has tracked 23,715,461 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,029 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 46th percentile – i.e., 46% 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 441,162 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.