| Title |
State of the art in selection of variables and functional forms in multivariable analysis—outstanding issues
|
|---|---|
| Published in |
Diagnostic and Prognostic Research, April 2020
|
| DOI | 10.1186/s41512-020-00074-3 |
| Pubmed ID | |
| Authors |
Willi Sauerbrei, Aris Perperoglou, Matthias Schmid, Michal Abrahamowicz, Heiko Becher, Harald Binder, Daniela Dunkler, Frank E. Harrell, Patrick Royston, Georg Heinze |
X Demographics
The data shown below were collected from the profiles of 148 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 | 24 | 16% |
| United Kingdom | 18 | 12% |
| Canada | 6 | 4% |
| Netherlands | 5 | 3% |
| Australia | 5 | 3% |
| Germany | 3 | 2% |
| Belgium | 3 | 2% |
| Italy | 2 | 1% |
| Mexico | 2 | 1% |
| Other | 26 | 18% |
| Unknown | 54 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 71 | 48% |
| Scientists | 60 | 41% |
| Practitioners (doctors, other healthcare professionals) | 17 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 242 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 242 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 42 | 17% |
| Researcher | 41 | 17% |
| Student > Master | 23 | 10% |
| Other | 17 | 7% |
| Student > Doctoral Student | 14 | 6% |
| Other | 50 | 21% |
| Unknown | 55 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 69 | 29% |
| Mathematics | 13 | 5% |
| Nursing and Health Professions | 12 | 5% |
| Social Sciences | 10 | 4% |
| Agricultural and Biological Sciences | 9 | 4% |
| Other | 59 | 24% |
| Unknown | 70 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 95. 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 31 October 2023.
All research outputs
#431,788
of 24,859,977 outputs
Outputs from Diagnostic and Prognostic Research
#2
of 123 outputs
Outputs of similar age
#11,885
of 374,689 outputs
Outputs of similar age from Diagnostic and Prognostic Research
#1
of 3 outputs
Altmetric has tracked 24,859,977 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 123 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done particularly well, scoring higher than 99% 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 374,689 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 3 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