| Title |
External validation of multivariable prediction models: a systematic review of methodological conduct and reporting
|
|---|---|
| Published in |
BMC Medical Research Methodology, March 2014
|
| DOI | 10.1186/1471-2288-14-40 |
| Pubmed ID | |
| Authors |
Gary S Collins, Joris A de Groot, Susan Dutton, Omar Omar, Milensu Shanyinde, Abdelouahid Tajar, Merryn Voysey, Rose Wharton, Ly-Mee Yu, Karel G Moons, Douglas G Altman |
| Abstract |
Before considering whether to use a multivariable (diagnostic or prognostic) prediction model, it is essential that its performance be evaluated in data that were not used to develop the model (referred to as external validation). We critically appraised the methodological conduct and reporting of external validation studies of multivariable prediction models. |
X Demographics
The data shown below were collected from the profiles of 54 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 | 13 | 24% |
| United Kingdom | 10 | 19% |
| Netherlands | 2 | 4% |
| Spain | 1 | 2% |
| Italy | 1 | 2% |
| Argentina | 1 | 2% |
| Sweden | 1 | 2% |
| Philippines | 1 | 2% |
| France | 1 | 2% |
| Other | 5 | 9% |
| Unknown | 18 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 29 | 54% |
| Scientists | 15 | 28% |
| Practitioners (doctors, other healthcare professionals) | 9 | 17% |
| Unknown | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 537 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 4 | <1% |
| United Kingdom | 4 | <1% |
| United States | 2 | <1% |
| Portugal | 1 | <1% |
| Canada | 1 | <1% |
| South Africa | 1 | <1% |
| Denmark | 1 | <1% |
| Belgium | 1 | <1% |
| Unknown | 522 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 103 | 19% |
| Researcher | 97 | 18% |
| Student > Master | 71 | 13% |
| Student > Bachelor | 31 | 6% |
| Student > Doctoral Student | 29 | 5% |
| Other | 119 | 22% |
| Unknown | 87 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 221 | 41% |
| Mathematics | 25 | 5% |
| Nursing and Health Professions | 22 | 4% |
| Unspecified | 22 | 4% |
| Computer Science | 17 | 3% |
| Other | 104 | 19% |
| Unknown | 126 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 49. 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 07 April 2023.
All research outputs
#864,369
of 25,654,566 outputs
Outputs from BMC Medical Research Methodology
#75
of 2,303 outputs
Outputs of similar age
#8,123
of 237,356 outputs
Outputs of similar age from BMC Medical Research Methodology
#1
of 30 outputs
Altmetric has tracked 25,654,566 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.
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We're also able to compare this research output to 30 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 96% of its contemporaries.