Title |
Machine Learning Prediction of Mortality and Hospitalization in Heart Failure With Preserved Ejection Fraction
|
---|---|
Published in |
JACC: Heart Failure, October 2019
|
DOI | 10.1016/j.jchf.2019.06.013 |
Pubmed ID | |
Authors |
Suveen Angraal, Bobak J Mortazavi, Aakriti Gupta, Rohan Khera, Tariq Ahmad, Nihar R Desai, Daniel L Jacoby, Frederick A Masoudi, John A Spertus, Harlan M Krumholz |
X Demographics
The data shown below were collected from the profiles of 122 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 States | 32 | 26% |
Spain | 14 | 11% |
Italy | 4 | 3% |
United Kingdom | 4 | 3% |
India | 2 | 2% |
Canada | 2 | 2% |
Mexico | 2 | 2% |
Australia | 2 | 2% |
Switzerland | 2 | 2% |
Other | 14 | 11% |
Unknown | 44 | 36% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 86 | 70% |
Scientists | 25 | 20% |
Practitioners (doctors, other healthcare professionals) | 7 | 6% |
Science communicators (journalists, bloggers, editors) | 4 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 229 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 229 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 29 | 13% |
Student > Master | 21 | 9% |
Student > Ph. D. Student | 18 | 8% |
Other | 17 | 7% |
Student > Bachelor | 16 | 7% |
Other | 40 | 17% |
Unknown | 88 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 52 | 23% |
Computer Science | 21 | 9% |
Engineering | 14 | 6% |
Nursing and Health Professions | 8 | 3% |
Biochemistry, Genetics and Molecular Biology | 7 | 3% |
Other | 20 | 9% |
Unknown | 107 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 70. 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 07 April 2022.
All research outputs
#617,966
of 25,587,485 outputs
Outputs from JACC: Heart Failure
#162
of 1,600 outputs
Outputs of similar age
#13,509
of 367,021 outputs
Outputs of similar age from JACC: Heart Failure
#7
of 32 outputs
Altmetric has tracked 25,587,485 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,600 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.3. 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 367,021 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 96% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.