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How to determine if a random graph with a fixed degree sequence has a giant component

Overview of attention for article published in Probability Theory and Related Fields, January 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
10 Mendeley
Title
How to determine if a random graph with a fixed degree sequence has a giant component
Published in
Probability Theory and Related Fields, January 2017
DOI 10.1007/s00440-017-0757-1
Authors

Felix Joos, Guillem Perarnau, Dieter Rautenbach, Bruce Reed

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 40%
Student > Doctoral Student 1 10%
Student > Master 1 10%
Researcher 1 10%
Professor > Associate Professor 1 10%
Other 0 0%
Unknown 2 20%
Readers by discipline Count As %
Mathematics 4 40%
Physics and Astronomy 2 20%
Business, Management and Accounting 1 10%
Engineering 1 10%
Unknown 2 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 01 February 2017.
All research outputs
#18,575,287
of 23,852,579 outputs
Outputs from Probability Theory and Related Fields
#203
of 276 outputs
Outputs of similar age
#297,353
of 422,867 outputs
Outputs of similar age from Probability Theory and Related Fields
#3
of 6 outputs
Altmetric has tracked 23,852,579 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 276 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 22nd percentile – i.e., 22% 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 422,867 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.