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How the interbank market becomes systemically dangerous: an agent-based network model of financial distress propagation

Overview of attention for article published in arXiv, February 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
12 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
11 Mendeley
Title
How the interbank market becomes systemically dangerous: an agent-based network model of financial distress propagation
Published in
arXiv, February 2017
DOI 10.21314/jntf.2017.025
Authors

Matteo Serri, Guido Caldarelli, Giulio Cimini

Twitter Demographics

The data shown below were collected from the profiles of 12 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 45%
Student > Ph. D. Student 2 18%
Professor 1 9%
Lecturer 1 9%
Student > Bachelor 1 9%
Other 1 9%
Readers by discipline Count As %
Economics, Econometrics and Finance 4 36%
Unspecified 3 27%
Physics and Astronomy 2 18%
Business, Management and Accounting 1 9%
Psychology 1 9%
Other 0 0%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 31 December 2016.
All research outputs
#1,353,041
of 9,069,116 outputs
Outputs from arXiv
#42,784
of 521,783 outputs
Outputs of similar age
#52,398
of 243,382 outputs
Outputs of similar age from arXiv
#2,876
of 24,489 outputs
Altmetric has tracked 9,069,116 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 521,783 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done particularly well, scoring higher than 91% 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 243,382 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 24,489 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.