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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine Learning for Clinical Decision-Making: Challenges and Opportunities in Cardiovascular Imaging
|
|---|---|
| Published in |
Frontiers in Cardiovascular Medicine, January 2022
|
| DOI | 10.3389/fcvm.2021.765693 |
| Pubmed ID | |
| Authors |
Sergio Sanchez-Martinez, Oscar Camara, Gemma Piella, Maja Cikes, Miguel Ángel González-Ballester, Marius Miron, Alfredo Vellido, Emilia Gómez, Alan G. Fraser, Bart Bijnens |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 33% |
| Spain | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 61 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 18% |
| Student > Master | 5 | 8% |
| Student > Ph. D. Student | 5 | 8% |
| Lecturer | 4 | 7% |
| Other | 3 | 5% |
| Other | 10 | 16% |
| Unknown | 23 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 15% |
| Engineering | 8 | 13% |
| Medicine and Dentistry | 7 | 11% |
| Chemistry | 2 | 3% |
| Business, Management and Accounting | 2 | 3% |
| Other | 8 | 13% |
| Unknown | 25 | 41% |
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 05 January 2022.
All research outputs
#13,950,934
of 22,818,766 outputs
Outputs from Frontiers in Cardiovascular Medicine
#1,686
of 6,680 outputs
Outputs of similar age
#229,316
of 499,544 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#195
of 818 outputs
Altmetric has tracked 22,818,766 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,680 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 72% 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 499,544 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 52% of its contemporaries.
We're also able to compare this research output to 818 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.