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Approximation Algorithms for Maximum Independent Set of Pseudo-Disks

Overview of attention for article published in Discrete & Computational Geometry, March 2012
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

wikipedia
5 Wikipedia pages

Citations

dimensions_citation
89 Dimensions

Readers on

mendeley
29 Mendeley
citeulike
1 CiteULike
Title
Approximation Algorithms for Maximum Independent Set of Pseudo-Disks
Published in
Discrete & Computational Geometry, March 2012
DOI 10.1007/s00454-012-9417-5
Authors

Timothy M. Chan, Sariel Har-Peled

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 1 3%
Germany 1 3%
Unknown 27 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 38%
Student > Bachelor 3 10%
Professor > Associate Professor 3 10%
Lecturer 2 7%
Researcher 2 7%
Other 3 10%
Unknown 5 17%
Readers by discipline Count As %
Computer Science 20 69%
Agricultural and Biological Sciences 1 3%
Mathematics 1 3%
Decision Sciences 1 3%
Engineering 1 3%
Other 0 0%
Unknown 5 17%
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 25 February 2024.
All research outputs
#7,452,489
of 22,783,848 outputs
Outputs from Discrete & Computational Geometry
#111
of 482 outputs
Outputs of similar age
#51,549
of 156,335 outputs
Outputs of similar age from Discrete & Computational Geometry
#2
of 7 outputs
Altmetric has tracked 22,783,848 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 156,335 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.