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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Understanding random resampling techniques for class imbalance correction and their consequences on calibration and discrimination of clinical risk prediction models
|
---|---|
Published in |
Journal of Biomedical Informatics, June 2024
|
DOI | 10.1016/j.jbi.2024.104666 |
Pubmed ID | |
Authors |
Marco Piccininni, Maximilian Wechsung, Ben Van Calster, Jessica L Rohmann, Stefan Konigorski, Maarten van Smeden |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 15 | 21% |
United Kingdom | 6 | 8% |
Canada | 4 | 5% |
Germany | 4 | 5% |
Belgium | 2 | 3% |
France | 2 | 3% |
Italy | 2 | 3% |
Taiwan | 1 | 1% |
Australia | 1 | 1% |
Other | 7 | 10% |
Unknown | 29 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 36 | 49% |
Scientists | 31 | 42% |
Practitioners (doctors, other healthcare professionals) | 6 | 8% |
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 % |
---|---|---|
Professor > Associate Professor | 2 | 18% |
Researcher | 2 | 18% |
Other | 1 | 9% |
Lecturer > Senior Lecturer | 1 | 9% |
Unknown | 5 | 45% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 2 | 18% |
Engineering | 2 | 18% |
Mathematics | 1 | 9% |
Medicine and Dentistry | 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 47. 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 August 2024.
All research outputs
#967,815
of 26,783,796 outputs
Outputs from Journal of Biomedical Informatics
#23
of 2,302 outputs
Outputs of similar age
#14,731
of 328,638 outputs
Outputs of similar age from Journal of Biomedical Informatics
#1
of 18 outputs
Altmetric has tracked 26,783,796 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 2,302 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. 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 328,638 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 18 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 94% of its contemporaries.