↓ Skip to main content

Rankboost+: an improvement to Rankboost

Overview of attention for article published in Machine Learning, August 2019
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
9 Mendeley
Title
Rankboost+: an improvement to Rankboost
Published in
Machine Learning, August 2019
DOI 10.1007/s10994-019-05826-x
Authors

Harold Connamacher, Nikil Pancha, Rui Liu, Soumya Ray

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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 22%
Student > Bachelor 1 11%
Student > Master 1 11%
Researcher 1 11%
Professor > Associate Professor 1 11%
Other 0 0%
Unknown 3 33%
Readers by discipline Count As %
Computer Science 5 56%
Unknown 4 44%
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 16 January 2020.
All research outputs
#14,454,522
of 23,153,849 outputs
Outputs from Machine Learning
#583
of 981 outputs
Outputs of similar age
#188,096
of 343,073 outputs
Outputs of similar age from Machine Learning
#3
of 6 outputs
Altmetric has tracked 23,153,849 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 981 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 35th percentile – i.e., 35% 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 343,073 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
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 3 of them.