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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep Learning Classification of Unipolar Electrograms in Human Atrial Fibrillation: Application in Focal Source Mapping
|
|---|---|
| Published in |
Frontiers in Physiology, July 2021
|
| DOI | 10.3389/fphys.2021.704122 |
| Pubmed ID | |
| Authors |
Shun Liao, Don Ragot, Sachin Nayyar, Adrian Suszko, Zhaolei Zhang, Bo Wang, Vijay S. Chauhan |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 50% |
| Ukraine | 1 | 17% |
| Switzerland | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 16% |
| Other | 3 | 16% |
| Student > Ph. D. Student | 2 | 11% |
| Student > Postgraduate | 1 | 5% |
| Unknown | 10 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 16% |
| Medicine and Dentistry | 2 | 11% |
| Nursing and Health Professions | 1 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Business, Management and Accounting | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 10 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 02 February 2023.
All research outputs
#4,582,030
of 23,416,487 outputs
Outputs from Frontiers in Physiology
#2,248
of 14,142 outputs
Outputs of similar age
#102,579
of 434,140 outputs
Outputs of similar age from Frontiers in Physiology
#79
of 673 outputs
Altmetric has tracked 23,416,487 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,142 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done well, scoring higher than 84% 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 434,140 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 76% of its contemporaries.
We're also able to compare this research output to 673 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.