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Efficient On-Line Nonparametric Kernel Density Estimation

Overview of attention for article published in Algorithmica, May 1999
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)

Mentioned by

patent
3 patents

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
23 Mendeley
Title
Efficient On-Line Nonparametric Kernel Density Estimation
Published in
Algorithmica, May 1999
DOI 10.1007/pl00009282
Authors

C. G. Lambert, S. E. Harrington, C. R. Harvey, A. Glodjo

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 17%
Spain 1 4%
India 1 4%
Unknown 17 74%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 30%
Student > Ph. D. Student 3 13%
Student > Doctoral Student 2 9%
Student > Master 2 9%
Other 2 9%
Other 7 30%
Readers by discipline Count As %
Computer Science 9 39%
Mathematics 5 22%
Engineering 4 17%
Unspecified 2 9%
Business, Management and Accounting 1 4%
Other 2 9%

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 08 July 2014.
All research outputs
#3,501,477
of 12,228,633 outputs
Outputs from Algorithmica
#52
of 227 outputs
Outputs of similar age
#93,538
of 290,514 outputs
Outputs of similar age from Algorithmica
#2
of 4 outputs
Altmetric has tracked 12,228,633 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 227 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 28th percentile – i.e., 28% 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 290,514 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 64% 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 2 of them.