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Applications of a new space-partitioning technique

Overview of attention for article published in Discrete & Computational Geometry, January 1993
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Mentioned by

patent
1 patent

Citations

dimensions_citation
47 Dimensions

Readers on

mendeley
13 Mendeley
Title
Applications of a new space-partitioning technique
Published in
Discrete & Computational Geometry, January 1993
DOI 10.1007/bf02189304
Authors

Pankaj K. Agarwal, Micha Sharir

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 8%
Unknown 12 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 31%
Student > Ph. D. Student 3 23%
Student > Master 2 15%
Student > Doctoral Student 1 8%
Student > Bachelor 1 8%
Other 1 8%
Unknown 1 8%
Readers by discipline Count As %
Computer Science 10 77%
Physics and Astronomy 1 8%
Engineering 1 8%
Unknown 1 8%
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 20 September 2016.
All research outputs
#7,473,822
of 22,849,304 outputs
Outputs from Discrete & Computational Geometry
#111
of 482 outputs
Outputs of similar age
#13,072
of 65,375 outputs
Outputs of similar age from Discrete & Computational Geometry
#1
of 5 outputs
Altmetric has tracked 22,849,304 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 482 research outputs from this source. They receive a mean Attention Score of 4.5. 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 65,375 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 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