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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Multi-Domain Variational Autoencoders for Combined Modeling of MRI-Based Biventricular Anatomy and ECG-Based Cardiac Electrophysiology
|
|---|---|
| Published in |
Frontiers in Physiology, June 2022
|
| DOI | 10.3389/fphys.2022.886723 |
| Pubmed ID | |
| Authors |
Marcel Beetz, Abhirup Banerjee, Vicente Grau |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 33% |
| Members of the public | 1 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 14% |
| Researcher | 3 | 14% |
| Professor | 3 | 14% |
| Student > Ph. D. Student | 2 | 10% |
| Student > Master | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 8 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 6 | 29% |
| Economics, Econometrics and Finance | 1 | 5% |
| Computer Science | 1 | 5% |
| Medicine and Dentistry | 1 | 5% |
| Immunology and Microbiology | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 11 | 52% |
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 13 June 2022.
All research outputs
#13,657,251
of 22,663,969 outputs
Outputs from Frontiers in Physiology
#4,785
of 13,461 outputs
Outputs of similar age
#191,557
of 440,802 outputs
Outputs of similar age from Frontiers in Physiology
#199
of 738 outputs
Altmetric has tracked 22,663,969 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,461 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one has gotten more attention than average, scoring higher than 64% 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 440,802 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 56% of its contemporaries.
We're also able to compare this research output to 738 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 73% of its contemporaries.