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A GRASP for Coloring Sparse Graphs

Overview of attention for article published in Computational Optimization and Applications, July 2001
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About this Attention Score

  • Among the highest-scoring outputs from this source (#28 of 386)

Mentioned by

patent
1 patent

Citations

dimensions_citation
48 Dimensions

Readers on

mendeley
19 Mendeley
Title
A GRASP for Coloring Sparse Graphs
Published in
Computational Optimization and Applications, July 2001
DOI 10.1023/a:1011237503342
Authors

Manuel Laguna, Rafael Martí

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 5%
Portugal 1 5%
Belgium 1 5%
Unknown 16 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 21%
Student > Doctoral Student 3 16%
Professor > Associate Professor 2 11%
Researcher 2 11%
Professor 1 5%
Other 3 16%
Unknown 4 21%
Readers by discipline Count As %
Computer Science 10 53%
Mathematics 3 16%
Agricultural and Biological Sciences 1 5%
Economics, Econometrics and Finance 1 5%
Unknown 4 21%
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 30 July 2015.
All research outputs
#8,534,976
of 25,374,647 outputs
Outputs from Computational Optimization and Applications
#28
of 386 outputs
Outputs of similar age
#13,991
of 40,891 outputs
Outputs of similar age from Computational Optimization and Applications
#1
of 1 outputs
Altmetric has tracked 25,374,647 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 386 research outputs from this source. They receive a mean Attention Score of 1.4. This one has done well, scoring higher than 79% 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 40,891 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% 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