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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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Mentioned by

patent
3 patents

Citations

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30 Dimensions

Readers on

mendeley
29 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

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 14%
Spain 1 3%
India 1 3%
Unknown 23 79%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 24%
Student > Ph. D. Student 5 17%
Student > Master 5 17%
Student > Bachelor 2 7%
Student > Doctoral Student 2 7%
Other 6 21%
Unknown 2 7%
Readers by discipline Count As %
Computer Science 11 38%
Mathematics 6 21%
Engineering 4 14%
Economics, Econometrics and Finance 2 7%
Business, Management and Accounting 1 3%
Other 2 7%
Unknown 3 10%
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 08 July 2014.
All research outputs
#8,535,472
of 25,374,647 outputs
Outputs from Algorithmica
#86
of 487 outputs
Outputs of similar age
#11,895
of 36,590 outputs
Outputs of similar age from Algorithmica
#2
of 3 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 487 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 33rd percentile – i.e., 33% 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 36,590 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.