| Title |
A simple, step-by-step guide to interpreting decision curve analysis
|
|---|---|
| Published in |
Diagnostic and Prognostic Research, October 2019
|
| DOI | 10.1186/s41512-019-0064-7 |
| Pubmed ID | |
| Authors |
Andrew J. Vickers, Ben van Calster, Ewout W. Steyerberg |
X Demographics
The data shown below were collected from the profiles of 108 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 | 14 | 13% |
| United Kingdom | 10 | 9% |
| Netherlands | 5 | 5% |
| Germany | 4 | 4% |
| Canada | 4 | 4% |
| Australia | 3 | 3% |
| Belgium | 2 | 2% |
| Denmark | 2 | 2% |
| Italy | 2 | 2% |
| Other | 16 | 15% |
| Unknown | 46 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 52 | 48% |
| Scientists | 42 | 39% |
| Practitioners (doctors, other healthcare professionals) | 11 | 10% |
| Science communicators (journalists, bloggers, editors) | 2 | 2% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 353 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 353 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 78 | 22% |
| Student > Ph. D. Student | 57 | 16% |
| Student > Master | 30 | 8% |
| Other | 29 | 8% |
| Student > Bachelor | 23 | 7% |
| Other | 53 | 15% |
| Unknown | 83 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 117 | 33% |
| Computer Science | 17 | 5% |
| Nursing and Health Professions | 15 | 4% |
| Biochemistry, Genetics and Molecular Biology | 13 | 4% |
| Mathematics | 11 | 3% |
| Other | 65 | 18% |
| Unknown | 115 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 77. 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 29 September 2023.
All research outputs
#532,604
of 24,703,227 outputs
Outputs from Diagnostic and Prognostic Research
#3
of 120 outputs
Outputs of similar age
#11,977
of 355,881 outputs
Outputs of similar age from Diagnostic and Prognostic Research
#1
of 4 outputs
Altmetric has tracked 24,703,227 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 120 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done particularly well, scoring higher than 98% 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 355,881 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 4 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