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Classes of graphs which approximate the complete euclidean graph

Overview of attention for article published in Discrete & Computational Geometry, September 2005
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

patent
1 patent
wikipedia
4 Wikipedia pages

Citations

dimensions_citation
244 Dimensions

Readers on

mendeley
48 Mendeley
Title
Classes of graphs which approximate the complete euclidean graph
Published in
Discrete & Computational Geometry, September 2005
DOI 10.1007/bf02187821
Authors

J. Mark Keil, Carl A. Gutwin

Mendeley readers

Mendeley readers

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.

Geographical breakdown

Country Count As %
Germany 4 8%
United States 1 2%
Canada 1 2%
Unknown 42 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 31%
Researcher 8 17%
Student > Master 7 15%
Student > Doctoral Student 3 6%
Student > Bachelor 3 6%
Other 8 17%
Unknown 4 8%
Readers by discipline Count As %
Computer Science 27 56%
Engineering 4 8%
Mathematics 3 6%
Physics and Astronomy 3 6%
Business, Management and Accounting 2 4%
Other 6 13%
Unknown 3 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 June 2022.
All research outputs
#5,611,796
of 26,017,215 outputs
Outputs from Discrete & Computational Geometry
#67
of 615 outputs
Outputs of similar age
#13,959
of 73,209 outputs
Outputs of similar age from Discrete & Computational Geometry
#1
of 14 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 615 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 86% of its peers.
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 73,209 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 69% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.