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Web Communities: Models and Algorithms

Overview of attention for article published in World Wide Web, March 2004
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About this Attention Score

  • Among the highest-scoring outputs from this source (#23 of 449)
  • Good Attention Score compared to outputs of the same age (69th percentile)

Mentioned by

blogs
1 blog

Readers on

mendeley
13 Mendeley
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Title
Web Communities: Models and Algorithms
Published in
World Wide Web, March 2004
DOI 10.1023/b:wwwj.0000015865.63749.b2
Authors

Gianluigi Greco, Sergio Greco, Ester Zumpano

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 38%
Other 2 15%
Student > Doctoral Student 2 15%
Professor 2 15%
Librarian 1 8%
Other 1 8%
Readers by discipline Count As %
Computer Science 10 77%
Business, Management and Accounting 1 8%
Social Sciences 1 8%
Unknown 1 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 19 August 2014.
All research outputs
#6,494,997
of 25,374,647 outputs
Outputs from World Wide Web
#23
of 449 outputs
Outputs of similar age
#19,112
of 63,045 outputs
Outputs of similar age from World Wide Web
#1
of 2 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 449 research outputs from this source. They receive a mean Attention Score of 1.4. This one has done particularly well, scoring higher than 94% 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 63,045 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 2 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