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Learning (predictive) risk scores in the presence of censoring due to interventions

Overview of attention for article published in Machine Learning, October 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

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31 Dimensions

Readers on

mendeley
93 Mendeley
Title
Learning (predictive) risk scores in the presence of censoring due to interventions
Published in
Machine Learning, October 2015
DOI 10.1007/s10994-015-5527-7
Authors

Kirill Dyagilev, Suchi Saria

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 93 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 26%
Researcher 14 15%
Student > Master 10 11%
Student > Doctoral Student 8 9%
Other 4 4%
Other 15 16%
Unknown 18 19%
Readers by discipline Count As %
Computer Science 29 31%
Medicine and Dentistry 15 16%
Engineering 9 10%
Agricultural and Biological Sciences 4 4%
Social Sciences 3 3%
Other 12 13%
Unknown 21 23%
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 15 July 2021.
All research outputs
#12,947,444
of 22,851,489 outputs
Outputs from Machine Learning
#483
of 965 outputs
Outputs of similar age
#126,049
of 283,165 outputs
Outputs of similar age from Machine Learning
#4
of 6 outputs
Altmetric has tracked 22,851,489 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 965 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 48th percentile – i.e., 48% 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 283,165 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 54% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.