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Cascades in interdependent flow networks

Overview of attention for article published in Physica D, June 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
9 tweeters

Readers on

mendeley
28 Mendeley
citeulike
3 CiteULike
Title
Cascades in interdependent flow networks
Published in
Physica D, June 2016
DOI 10.1016/j.physd.2015.10.010
Authors

Antonio Scala, Pier Giorgio De Sanctis Lucentini, Guido Caldarelli, Gregorio D’Agostino

Twitter Demographics

The data shown below were collected from the profiles of 9 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 2 7%
Switzerland 1 4%
Brazil 1 4%
China 1 4%
Unknown 23 82%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 36%
Researcher 6 21%
Professor 3 11%
Unspecified 3 11%
Student > Bachelor 2 7%
Other 4 14%
Readers by discipline Count As %
Engineering 8 29%
Unspecified 5 18%
Physics and Astronomy 5 18%
Computer Science 4 14%
Economics, Econometrics and Finance 2 7%
Other 4 14%

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 29 December 2015.
All research outputs
#3,299,564
of 12,369,285 outputs
Outputs from Physica D
#78
of 758 outputs
Outputs of similar age
#72,895
of 266,849 outputs
Outputs of similar age from Physica D
#1
of 9 outputs
Altmetric has tracked 12,369,285 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 758 research outputs from this source. They receive a mean Attention Score of 1.9. This one has done well, scoring higher than 88% 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 266,849 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 72% of its contemporaries.
We're also able to compare this research output to 9 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