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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Combining symbolic regression with the Cox proportional hazards model improves prediction of heart failure deaths
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, July 2022
|
| DOI | 10.1186/s12911-022-01943-1 |
| Pubmed ID | |
| Authors |
Casper Wilstrup, Chris Cave |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 3 | 43% |
| South Africa | 1 | 14% |
| United Kingdom | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 19% |
| Student > Master | 5 | 16% |
| Researcher | 4 | 13% |
| Student > Ph. D. Student | 3 | 9% |
| Other | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 12 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 13% |
| Computer Science | 4 | 13% |
| Medicine and Dentistry | 3 | 9% |
| Business, Management and Accounting | 2 | 6% |
| Mathematics | 1 | 3% |
| Other | 5 | 16% |
| Unknown | 13 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 12 August 2023.
All research outputs
#6,190,915
of 24,255,619 outputs
Outputs from BMC Medical Informatics and Decision Making
#544
of 2,067 outputs
Outputs of similar age
#111,609
of 420,920 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#11
of 55 outputs
Altmetric has tracked 24,255,619 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 2,067 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoring higher than 73% 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 420,920 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 73% of its contemporaries.
We're also able to compare this research output to 55 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.