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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Characterization of the Electrophysiologic Remodeling of Patients With Ischemic Cardiomyopathy by Clinical Measurements and Computer Simulations Coupled With Machine Learning
|
|---|---|
| Published in |
Frontiers in Physiology, July 2021
|
| DOI | 10.3389/fphys.2021.684149 |
| Pubmed ID | |
| Authors |
Konstantinos N. Aronis, Adityo Prakosa, Teya Bergamaschi, Ronald D. Berger, Patrick M. Boyle, Jonathan Chrispin, Suyeon Ju, Joseph E. Marine, Sunil Sinha, Harikrishna Tandri, Hiroshi Ashikaga, Natalia A. Trayanova |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Turkey | 1 | 25% |
| Switzerland | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
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 % |
|---|---|---|
| Researcher | 5 | 26% |
| Other | 4 | 21% |
| Student > Ph. D. Student | 4 | 21% |
| Professor | 2 | 11% |
| Student > Doctoral Student | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 1 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 10 | 53% |
| Medicine and Dentistry | 3 | 16% |
| Agricultural and Biological Sciences | 2 | 11% |
| Mathematics | 1 | 5% |
| Unknown | 3 | 16% |
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 03 August 2021.
All research outputs
#15,154,377
of 23,308,124 outputs
Outputs from Frontiers in Physiology
#5,845
of 14,041 outputs
Outputs of similar age
#236,477
of 436,461 outputs
Outputs of similar age from Frontiers in Physiology
#232
of 634 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
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 gotten more attention than average, scoring higher than 51% 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 436,461 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 634 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 54% of its contemporaries.