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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Adaptive sample size determination for the development of clinical prediction models
|
|---|---|
| Published in |
Diagnostic and Prognostic Research, March 2021
|
| DOI | 10.1186/s41512-021-00096-5 |
| Pubmed ID | |
| Authors |
Evangelia Christodoulou, Maarten van Smeden, Michael Edlinger, Dirk Timmerman, Maria Wanitschek, Ewout W. Steyerberg, Ben Van Calster |
X Demographics
The data shown below were collected from the profiles of 29 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 | 4 | 14% |
| Netherlands | 2 | 7% |
| Belgium | 2 | 7% |
| United Kingdom | 2 | 7% |
| Puerto Rico | 1 | 3% |
| Brazil | 1 | 3% |
| Peru | 1 | 3% |
| Luxembourg | 1 | 3% |
| Ireland | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 12 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 55% |
| Scientists | 11 | 38% |
| Practitioners (doctors, other healthcare professionals) | 2 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 28% |
| Student > Master | 6 | 15% |
| Student > Ph. D. Student | 3 | 8% |
| Professor | 2 | 5% |
| Other | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 11 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 23% |
| Biochemistry, Genetics and Molecular Biology | 3 | 8% |
| Nursing and Health Professions | 2 | 5% |
| Mathematics | 2 | 5% |
| Computer Science | 1 | 3% |
| Other | 9 | 23% |
| Unknown | 13 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 06 July 2022.
All research outputs
#2,201,141
of 25,101,232 outputs
Outputs from Diagnostic and Prognostic Research
#24
of 125 outputs
Outputs of similar age
#56,172
of 431,463 outputs
Outputs of similar age from Diagnostic and Prognostic Research
#3
of 5 outputs
Altmetric has tracked 25,101,232 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 125 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.4. This one has done well, scoring higher than 81% 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 431,463 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 86% 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 2 of them.