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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Comparison of likelihood penalization and variance decomposition approaches for clinical prediction models: A simulation study
|
|---|---|
| Published in |
Biometrical Journal, May 2023
|
| DOI | 10.1002/bimj.202200108 |
| Pubmed ID | |
| Authors |
Anna Lohmann, Rolf H. H. Groenwold, Maarten van Smeden |
X Demographics
The data shown below were collected from the profiles of 74 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 | 19 | 26% |
| Australia | 5 | 7% |
| United Kingdom | 5 | 7% |
| Germany | 3 | 4% |
| Canada | 2 | 3% |
| Netherlands | 2 | 3% |
| India | 1 | 1% |
| Italy | 1 | 1% |
| Sweden | 1 | 1% |
| Other | 9 | 12% |
| Unknown | 26 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 37 | 50% |
| Scientists | 32 | 43% |
| Practitioners (doctors, other healthcare professionals) | 5 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 27% |
| Other | 1 | 9% |
| Student > Ph. D. Student | 1 | 9% |
| Student > Doctoral Student | 1 | 9% |
| Student > Master | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 3 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 18% |
| Decision Sciences | 2 | 18% |
| Business, Management and Accounting | 1 | 9% |
| Biochemistry, Genetics and Molecular Biology | 1 | 9% |
| Nursing and Health Professions | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 4 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 45. 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 18 June 2023.
All research outputs
#946,299
of 25,728,350 outputs
Outputs from Biometrical Journal
#7
of 656 outputs
Outputs of similar age
#19,644
of 393,572 outputs
Outputs of similar age from Biometrical Journal
#1
of 12 outputs
Altmetric has tracked 25,728,350 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 656 research outputs from this source. They receive a mean Attention Score of 3.6. 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 393,572 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 95% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.