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Empirical evaluation of internal validation methods for prediction in large-scale clinical data with rare-event outcomes: a case study in suicide risk prediction

Overview of attention for article published in BMC Medical Research Methodology, February 2023
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Mentioned by

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1 X user

Citations

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2 Dimensions

Readers on

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24 Mendeley
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Title
Empirical evaluation of internal validation methods for prediction in large-scale clinical data with rare-event outcomes: a case study in suicide risk prediction
Published in
BMC Medical Research Methodology, February 2023
DOI 10.1186/s12874-023-01844-5
Pubmed ID
Authors

R Yates Coley, Qinqing Liao, Noah Simon, Susan M. Shortreed

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 7 29%
Student > Ph. D. Student 2 8%
Student > Master 2 8%
Professor 1 4%
Student > Doctoral Student 1 4%
Other 1 4%
Unknown 10 42%
Readers by discipline Count As %
Unspecified 7 29%
Medicine and Dentistry 3 13%
Computer Science 1 4%
Arts and Humanities 1 4%
Social Sciences 1 4%
Other 1 4%
Unknown 10 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 21 March 2023.
All research outputs
#19,902,159
of 24,457,696 outputs
Outputs from BMC Medical Research Methodology
#1,876
of 2,173 outputs
Outputs of similar age
#326,172
of 446,751 outputs
Outputs of similar age from BMC Medical Research Methodology
#44
of 55 outputs
Altmetric has tracked 24,457,696 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,173 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 6th percentile – i.e., 6% of its peers scored the same or lower than it.
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 446,751 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.