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A linear-time algorithm for computing the voronoi diagram of a convex polygon

Overview of attention for article published in Discrete & Computational Geometry, December 1989
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Mentioned by

patent
1 patent

Citations

dimensions_citation
186 Dimensions

Readers on

mendeley
29 Mendeley
citeulike
1 CiteULike
Title
A linear-time algorithm for computing the voronoi diagram of a convex polygon
Published in
Discrete & Computational Geometry, December 1989
DOI 10.1007/bf02187749
Authors

Alok Aggarwal, Leonidas J. Guibas, James Saxe, Peter W. Shor

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 %
China 1 3%
Unknown 28 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 10%
Student > Ph. D. Student 3 10%
Student > Doctoral Student 2 7%
Lecturer > Senior Lecturer 2 7%
Student > Bachelor 2 7%
Other 1 3%
Unknown 16 55%
Readers by discipline Count As %
Engineering 4 14%
Computer Science 3 10%
Economics, Econometrics and Finance 1 3%
Earth and Planetary Sciences 1 3%
Physics and Astronomy 1 3%
Other 2 7%
Unknown 17 59%
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 12 January 2010.
All research outputs
#7,560,078
of 23,061,402 outputs
Outputs from Discrete & Computational Geometry
#112
of 484 outputs
Outputs of similar age
#11,507
of 58,566 outputs
Outputs of similar age from Discrete & Computational Geometry
#1
of 1 outputs
Altmetric has tracked 23,061,402 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 484 research outputs from this source. They receive a mean Attention Score of 4.6. 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 58,566 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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