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Evolving activity cascades on socio-technological networks

Overview of attention for article published in Journal of Computational Social Science, December 2017
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About this Attention Score

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

Mentioned by

twitter
6 X users

Citations

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3 Dimensions

Readers on

mendeley
13 Mendeley
Title
Evolving activity cascades on socio-technological networks
Published in
Journal of Computational Social Science, December 2017
DOI 10.1007/s42001-017-0012-7
Authors

Javier Borge-Holthoefer, Pablo Piedrahita, Alex Arenas

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 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 %
Researcher 2 15%
Professor > Associate Professor 2 15%
Unspecified 1 8%
Student > Master 1 8%
Lecturer 1 8%
Other 2 15%
Unknown 4 31%
Readers by discipline Count As %
Social Sciences 4 31%
Business, Management and Accounting 2 15%
Decision Sciences 1 8%
Computer Science 1 8%
Unknown 5 38%
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 16 January 2018.
All research outputs
#7,871,475
of 24,593,555 outputs
Outputs from Journal of Computational Social Science
#58
of 122 outputs
Outputs of similar age
#148,316
of 449,726 outputs
Outputs of similar age from Journal of Computational Social Science
#6
of 10 outputs
Altmetric has tracked 24,593,555 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 122 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.1. This one has gotten more attention than average, scoring higher than 52% 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 449,726 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 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.