↓ Skip to main content

Layered critical values: a powerful direct-adjustment approach to discovering significant patterns

Overview of attention for article published in Machine Learning, March 2008
Altmetric Badge

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
42 Dimensions

Readers on

mendeley
27 Mendeley
citeulike
1 CiteULike
Title
Layered critical values: a powerful direct-adjustment approach to discovering significant patterns
Published in
Machine Learning, March 2008
DOI 10.1007/s10994-008-5046-x
Authors

Geoffrey I. Webb

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 11%
Portugal 1 4%
Poland 1 4%
Slovenia 1 4%
Unknown 21 78%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 44%
Professor > Associate Professor 4 15%
Student > Ph. D. Student 3 11%
Student > Master 2 7%
Student > Doctoral Student 2 7%
Other 2 7%
Unknown 2 7%
Readers by discipline Count As %
Computer Science 19 70%
Mathematics 2 7%
Agricultural and Biological Sciences 1 4%
Nursing and Health Professions 1 4%
Social Sciences 1 4%
Other 1 4%
Unknown 2 7%
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 23 October 2013.
All research outputs
#7,454,951
of 22,790,780 outputs
Outputs from Machine Learning
#281
of 961 outputs
Outputs of similar age
#28,366
of 80,013 outputs
Outputs of similar age from Machine Learning
#1
of 2 outputs
Altmetric has tracked 22,790,780 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 961 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 53% 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 80,013 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 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