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A fast and robust kernel optimization method for core–periphery detection in directed and weighted graphs

Overview of attention for article published in Applied Network Science, September 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
12 Mendeley
Title
A fast and robust kernel optimization method for core–periphery detection in directed and weighted graphs
Published in
Applied Network Science, September 2019
DOI 10.1007/s41109-019-0173-9
Authors

Francesco Tudisco, Desmond J. Higham

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 17%
Professor 2 17%
Researcher 2 17%
Student > Ph. D. Student 2 17%
Other 1 8%
Other 2 17%
Unknown 1 8%
Readers by discipline Count As %
Mathematics 3 25%
Computer Science 2 17%
Business, Management and Accounting 1 8%
Psychology 1 8%
Social Sciences 1 8%
Other 1 8%
Unknown 3 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 09 October 2019.
All research outputs
#16,418,669
of 25,923,151 outputs
Outputs from Applied Network Science
#381
of 591 outputs
Outputs of similar age
#205,316
of 358,239 outputs
Outputs of similar age from Applied Network Science
#25
of 41 outputs
Altmetric has tracked 25,923,151 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 591 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 32nd percentile – i.e., 32% 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 358,239 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.