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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep Learning Framework for Real-Time Estimation of in-silico Thrombotic Risk Indices in the Left Atrial Appendage
|
|---|---|
| Published in |
Frontiers in Physiology, June 2021
|
| DOI | 10.3389/fphys.2021.694945 |
| Pubmed ID | |
| Authors |
Xabier Morales Ferez, Jordi Mill, Kristine Aavild Juhl, Cesar Acebes, Xavier Iriart, Benoit Legghe, Hubert Cochet, Ole De Backer, Rasmus R. Paulsen, Oscar Camara |
X Demographics
The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 6 | 43% |
| Algeria | 1 | 7% |
| Argentina | 1 | 7% |
| Denmark | 1 | 7% |
| Switzerland | 1 | 7% |
| Unknown | 4 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 50% |
| Scientists | 6 | 43% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 13% |
| Researcher | 5 | 11% |
| Student > Bachelor | 5 | 11% |
| Student > Doctoral Student | 4 | 9% |
| Student > Master | 4 | 9% |
| Other | 9 | 20% |
| Unknown | 12 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 15 | 33% |
| Medicine and Dentistry | 5 | 11% |
| Computer Science | 4 | 9% |
| Mathematics | 2 | 4% |
| Nursing and Health Professions | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 15 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 17 July 2021.
All research outputs
#2,947,917
of 23,308,124 outputs
Outputs from Frontiers in Physiology
#1,571
of 14,041 outputs
Outputs of similar age
#71,891
of 442,221 outputs
Outputs of similar age from Frontiers in Physiology
#50
of 618 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,041 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done well, scoring higher than 88% 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 442,221 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 83% of its contemporaries.
We're also able to compare this research output to 618 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.