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Building Trees for Probabilistic Prediction via Scoring Rules

Overview of attention for article published in Technometrics, May 2024
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)

Mentioned by

twitter
2 X users

Readers on

mendeley
2 Mendeley
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Title
Building Trees for Probabilistic Prediction via Scoring Rules
Published in
Technometrics, May 2024
DOI 10.1080/00401706.2024.2343062
Authors

Sara Shashaani, Özge Sürer, Matthew Plumlee, Seth Guikema

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 50%
Student > Doctoral Student 1 50%
Readers by discipline Count As %
Unspecified 1 50%
Unknown 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 May 2024.
All research outputs
#15,882,709
of 25,928,676 outputs
Outputs from Technometrics
#418
of 540 outputs
Outputs of similar age
#65,494
of 160,756 outputs
Outputs of similar age from Technometrics
#1
of 4 outputs
Altmetric has tracked 25,928,676 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 540 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 21st percentile – i.e., 21% 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 160,756 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 57% of its contemporaries.
We're also able to compare this research output to 4 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