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Ensemble learning for score likelihood ratios under the common source problem

Overview of attention for article published in Statistical Analysis & Data Mining, August 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
3 Mendeley
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Title
Ensemble learning for score likelihood ratios under the common source problem
Published in
Statistical Analysis & Data Mining, August 2023
DOI 10.1002/sam.11637
Authors

Federico Veneri, Danica M. Ommen

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 33%
Researcher 1 33%
Unknown 1 33%
Readers by discipline Count As %
Unspecified 1 33%
Computer Science 1 33%
Unknown 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 14 September 2023.
All research outputs
#14,292,663
of 25,394,764 outputs
Outputs from Statistical Analysis & Data Mining
#78
of 271 outputs
Outputs of similar age
#134,927
of 358,315 outputs
Outputs of similar age from Statistical Analysis & Data Mining
#1
of 5 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 271 research outputs from this source. They receive a mean Attention Score of 3.0. This one has gotten more attention than average, scoring higher than 69% 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 358,315 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 61% 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 all of them