| Title |
Machine Learning in the Evaluation of Myocardial Ischemia Through Nuclear Cardiology
|
|---|---|
| Published in |
Current Cardiovascular Imaging Reports, February 2019
|
| DOI | 10.1007/s12410-019-9480-x |
| Authors |
Luis Eduardo Juarez-Orozco, Octavio Martinez-Manzanera, Andrea Ennio Storti, Juhani Knuuti |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 1 | 20% |
| United States | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 1 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 53 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 17% |
| Researcher | 6 | 11% |
| Student > Postgraduate | 4 | 8% |
| Student > Ph. D. Student | 4 | 8% |
| Lecturer > Senior Lecturer | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 23 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 17% |
| Computer Science | 7 | 13% |
| Engineering | 3 | 6% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Nursing and Health Professions | 1 | 2% |
| Other | 5 | 9% |
| Unknown | 26 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 04 June 2019.
All research outputs
#2,638,143
of 23,885,338 outputs
Outputs from Current Cardiovascular Imaging Reports
#12
of 109 outputs
Outputs of similar age
#64,509
of 448,443 outputs
Outputs of similar age from Current Cardiovascular Imaging Reports
#1
of 5 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 109 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 89% 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 448,443 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 85% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them