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Algorithms and Models for the Web-Graph

Overview of attention for book
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
1 blog
wikipedia
1 Wikipedia page

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
4 Mendeley
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Title
Algorithms and Models for the Web-Graph
Published by
ADS, January 2009
DOI 10.1007/978-3-540-95995-3
ISBNs
978-3-54-095994-6, 978-3-54-095995-3
Editors

Konstantin Avrachenkov, Debora Donato, Nelly Litvak

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 2 50%
Student > Ph. D. Student 1 25%
Lecturer 1 25%
Readers by discipline Count As %
Mathematics 2 50%
Computer Science 1 25%
Agricultural and Biological Sciences 1 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 03 December 2023.
All research outputs
#2,788,640
of 24,931,592 outputs
Outputs from ADS
#1,542
of 37,321 outputs
Outputs of similar age
#13,008
of 183,948 outputs
Outputs of similar age from ADS
#62
of 912 outputs
Altmetric has tracked 24,931,592 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 37,321 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 95% 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 183,948 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 912 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.