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X Demographics
Mendeley readers
Attention Score in Context
| Title |
From Compressed-Sensing to Artificial Intelligence-Based Cardiac MRI Reconstruction
|
|---|---|
| Published in |
Frontiers in Cardiovascular Medicine, February 2020
|
| DOI | 10.3389/fcvm.2020.00017 |
| Pubmed ID | |
| Authors |
Aurélien Bustin, Niccolo Fuin, René M. Botnar, Claudia Prieto |
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 Kingdom | 2 | 33% |
| Germany | 1 | 17% |
| France | 1 | 17% |
| Switzerland | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Scientists | 2 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 152 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 15% |
| Researcher | 17 | 11% |
| Student > Bachelor | 14 | 9% |
| Student > Master | 12 | 8% |
| Student > Doctoral Student | 8 | 5% |
| Other | 28 | 18% |
| Unknown | 50 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 32 | 21% |
| Medicine and Dentistry | 22 | 14% |
| Computer Science | 9 | 6% |
| Nursing and Health Professions | 7 | 5% |
| Physics and Astronomy | 7 | 5% |
| Other | 17 | 11% |
| Unknown | 58 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 09 December 2021.
All research outputs
#1,462,148
of 22,653,392 outputs
Outputs from Frontiers in Cardiovascular Medicine
#132
of 6,525 outputs
Outputs of similar age
#36,179
of 358,235 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#6
of 55 outputs
Altmetric has tracked 22,653,392 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,525 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 98% 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 358,235 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 89% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.