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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine learning for subtype definition and risk prediction in heart failure, acute coronary syndromes and atrial fibrillation: systematic review of validity and clinical utility
|
|---|---|
| Published in |
BMC Medicine, April 2021
|
| DOI | 10.1186/s12916-021-01940-7 |
| Pubmed ID | |
| Authors |
Amitava Banerjee, Suliang Chen, Ghazaleh Fatemifar, Mohamad Zeina, R. Thomas Lumbers, Johanna Mielke, Simrat Gill, Dipak Kotecha, Daniel F. Freitag, Spiros Denaxas, Harry Hemingway |
X Demographics
The data shown below were collected from the profiles of 17 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 | 5 | 29% |
| United States | 3 | 18% |
| Brazil | 1 | 6% |
| India | 1 | 6% |
| Sweden | 1 | 6% |
| Portugal | 1 | 6% |
| Djibouti | 1 | 6% |
| Unknown | 4 | 24% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 59% |
| Scientists | 5 | 29% |
| Practitioners (doctors, other healthcare professionals) | 2 | 12% |
Mendeley readers
The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 122 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 11% |
| Researcher | 12 | 10% |
| Student > Master | 9 | 7% |
| Student > Bachelor | 8 | 7% |
| Student > Doctoral Student | 6 | 5% |
| Other | 20 | 16% |
| Unknown | 53 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 19% |
| Computer Science | 16 | 13% |
| Nursing and Health Professions | 6 | 5% |
| Mathematics | 4 | 3% |
| Agricultural and Biological Sciences | 3 | 2% |
| Other | 14 | 11% |
| Unknown | 56 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 October 2022.
All research outputs
#4,161,154
of 23,885,338 outputs
Outputs from BMC Medicine
#2,093
of 3,628 outputs
Outputs of similar age
#99,031
of 429,391 outputs
Outputs of similar age from BMC Medicine
#38
of 70 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 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,628 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.0. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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 429,391 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 76% of its contemporaries.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.