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Cross-validation of correlation networks using modular structure

Overview of attention for article published in Applied Network Science, November 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
7 Mendeley
Title
Cross-validation of correlation networks using modular structure
Published in
Applied Network Science, November 2022
DOI 10.1007/s41109-022-00516-5
Authors

Magnus Neuman, Viktor Jonsson, Joaquín Calatayud, Martin Rosvall

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 29%
Professor 1 14%
Unknown 4 57%
Readers by discipline Count As %
Psychology 1 14%
Physics and Astronomy 1 14%
Unknown 5 71%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 06 March 2023.
All research outputs
#8,205,556
of 25,420,980 outputs
Outputs from Applied Network Science
#234
of 582 outputs
Outputs of similar age
#141,947
of 429,557 outputs
Outputs of similar age from Applied Network Science
#5
of 18 outputs
Altmetric has tracked 25,420,980 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 582 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one has gotten more attention than average, scoring higher than 59% 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 429,557 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 66% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.