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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The current application of the Royston-Parmar model for prognostic modeling in health research: a scoping review
|
|---|---|
| Published in |
Diagnostic and Prognostic Research, February 2018
|
| DOI | 10.1186/s41512-018-0026-5 |
| Pubmed ID | |
| Authors |
Ryan Ng, Kathy Kornas, Rinku Sutradhar, Walter P. Wodchis, Laura C. Rosella |
X Demographics
The data shown below were collected from the profiles of 19 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 4 | 21% |
| United Kingdom | 2 | 11% |
| Japan | 1 | 5% |
| United States | 1 | 5% |
| Unknown | 11 | 58% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 63% |
| Scientists | 6 | 32% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 77 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 26% |
| Student > Ph. D. Student | 17 | 22% |
| Other | 7 | 9% |
| Student > Master | 5 | 6% |
| Student > Postgraduate | 4 | 5% |
| Other | 10 | 13% |
| Unknown | 14 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 26 | 34% |
| Mathematics | 6 | 8% |
| Engineering | 4 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 4% |
| Nursing and Health Professions | 2 | 3% |
| Other | 15 | 19% |
| Unknown | 21 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 13 February 2023.
All research outputs
#3,225,215
of 25,365,817 outputs
Outputs from Diagnostic and Prognostic Research
#29
of 126 outputs
Outputs of similar age
#69,947
of 450,612 outputs
Outputs of similar age from Diagnostic and Prognostic Research
#1
of 5 outputs
Altmetric has tracked 25,365,817 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 126 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.3. This one has done well, scoring higher than 77% 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 450,612 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 84% of its contemporaries.
We're also able to compare this research output to 5 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