| Title |
Risk Factors for Heart Failure with Preserved or Reduced Ejection Fraction Among Medicare Beneficiaries: Application of Competing Risks Analysis and Gradient Boosted Model
|
|---|---|
| Published in |
Clinical Epidemiology, June 2020
|
| DOI | 10.2147/clep.s253612 |
| Pubmed ID | |
| Authors |
Moa P Lee, Robert J Glynn, Sebastian Schneeweiss, Kueiyu Joshua Lin, Elisabetta Patorno, Julie Barberio, Raisa Levin, Thomas Evers, Shirley V Wang, Rishi J Desai |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 15% |
| Student > Doctoral Student | 5 | 12% |
| Student > Bachelor | 5 | 12% |
| Student > Master | 4 | 10% |
| Student > Postgraduate | 3 | 7% |
| Other | 5 | 12% |
| Unknown | 13 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 24% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 7% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Agricultural and Biological Sciences | 2 | 5% |
| Business, Management and Accounting | 1 | 2% |
| Other | 5 | 12% |
| Unknown | 18 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 26 September 2022.
All research outputs
#3,227,987
of 23,414,653 outputs
Outputs from Clinical Epidemiology
#147
of 739 outputs
Outputs of similar age
#84,449
of 398,588 outputs
Outputs of similar age from Clinical Epidemiology
#3
of 27 outputs
Altmetric has tracked 23,414,653 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 739 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one has done well, scoring higher than 79% 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 398,588 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 78% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.