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Fast Multidimensional Entropy Estimation by $k$-d Partitioning

Overview of attention for article published in IEEE Signal Processing Letters, June 2009
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patent
2 patents

Readers on

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48 Mendeley
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1 CiteULike
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Article details
Title
Fast Multidimensional Entropy Estimation by $k$-d Partitioning
Published in
IEEE Signal Processing Letters, June 2009
DOI 10.1109/lsp.2009.2017346
Authors

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Timeline Attention over time Attention Score history
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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 3 6%
South Africa 1 2%
Poland 1 2%
Netherlands 1 2%
Malaysia 1 2%
Italy 1 2%
United Kingdom 1 2%
Canada 1 2%
Unknown 38 79%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 18 38%
Researcher 12 25%
Other 4 8%
Student > Master 4 8%
Student > Bachelor 3 6%
Other 7 15%
Readers by discipline
Readers by discipline Count As %
Computer Science 16 33%
Engineering 13 27%
Agricultural and Biological Sciences 5 10%
Mathematics 4 8%
Medicine and Dentistry 2 4%
Other 6 13%
Unknown 2 4%
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 27 July 2021.
All research outputs
#8,535,684
of 25,377,790 outputs
Outputs from IEEE Signal Processing Letters
#381
of 1,874 outputs
Outputs of similar age
#43,096
of 125,211 outputs
Outputs of similar age from IEEE Signal Processing Letters
#5
of 26 outputs
Altmetric has tracked 25,377,790 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 1,874 research outputs from this source. They receive a mean Attention Score of 2.9. 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 125,211 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.