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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Image-Based Cardiac Diagnosis With Machine Learning: A Review
|
|---|---|
| Published in |
Frontiers in Cardiovascular Medicine, January 2020
|
| DOI | 10.3389/fcvm.2020.00001 |
| Pubmed ID | |
| Authors |
Carlos Martin-Isla, Victor M. Campello, Cristian Izquierdo, Zahra Raisi-Estabragh, Bettina Baeßler, Steffen E. Petersen, Karim Lekadir |
X Demographics
The data shown below were collected from the profiles of 65 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 | 8 | 12% |
| Germany | 4 | 6% |
| India | 3 | 5% |
| United States | 3 | 5% |
| Spain | 3 | 5% |
| Austria | 3 | 5% |
| Switzerland | 3 | 5% |
| Brazil | 2 | 3% |
| Italy | 1 | 2% |
| Other | 5 | 8% |
| Unknown | 30 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 48 | 74% |
| Scientists | 9 | 14% |
| Science communicators (journalists, bloggers, editors) | 4 | 6% |
| Practitioners (doctors, other healthcare professionals) | 4 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 291 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 291 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 40 | 14% |
| Researcher | 37 | 13% |
| Student > Master | 33 | 11% |
| Student > Doctoral Student | 18 | 6% |
| Student > Bachelor | 14 | 5% |
| Other | 40 | 14% |
| Unknown | 109 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 45 | 15% |
| Medicine and Dentistry | 41 | 14% |
| Engineering | 39 | 13% |
| Nursing and Health Professions | 7 | 2% |
| Biochemistry, Genetics and Molecular Biology | 5 | 2% |
| Other | 28 | 10% |
| Unknown | 126 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 36. 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 06 July 2023.
All research outputs
#1,171,162
of 25,974,666 outputs
Outputs from Frontiers in Cardiovascular Medicine
#137
of 9,424 outputs
Outputs of similar age
#28,721
of 478,888 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#4
of 43 outputs
Altmetric has tracked 25,974,666 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,424 research outputs from this source. They receive a mean Attention Score of 4.5. 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 478,888 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 43 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 90% of its contemporaries.