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Efficient Testing of Large Graphs

Overview of attention for article published in Combinatorica, April 2000
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#31 of 271)
  • High Attention Score compared to outputs of the same age (86th percentile)

Mentioned by

blogs
1 blog
wikipedia
1 Wikipedia page

Citations

dimensions_citation
195 Dimensions

Readers on

mendeley
40 Mendeley
Title
Efficient Testing of Large Graphs
Published in
Combinatorica, April 2000
DOI 10.1007/s004930070001
Authors

Noga Alon, Eldar Fischer, Michael Krivelevich, Mario Szegedy

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 8%
Russia 1 3%
France 1 3%
Unknown 35 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 23%
Student > Ph. D. Student 8 20%
Student > Master 8 20%
Professor 5 13%
Professor > Associate Professor 3 8%
Other 5 13%
Unknown 2 5%
Readers by discipline Count As %
Computer Science 25 63%
Mathematics 9 23%
Agricultural and Biological Sciences 1 3%
Physics and Astronomy 1 3%
Chemistry 1 3%
Other 0 0%
Unknown 3 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 22 November 2021.
All research outputs
#3,782,038
of 22,817,213 outputs
Outputs from Combinatorica
#31
of 271 outputs
Outputs of similar age
#5,210
of 39,709 outputs
Outputs of similar age from Combinatorica
#1
of 4 outputs
Altmetric has tracked 22,817,213 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 271 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 88% 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 39,709 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 4 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