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Network models of financial systemic risk: A review

Overview of attention for article published in arXiv, October 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 (75th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

twitter
10 tweeters
facebook
1 Facebook page
googleplus
1 Google+ user

Readers on

mendeley
18 Mendeley
citeulike
2 CiteULike
Title
Network models of financial systemic risk: A review
Published in
arXiv, October 2017
DOI 10.1007/s42001-017-0008-3
Authors

Fabio Caccioli, Paolo Barucca, Teruyoshi Kobayashi

Twitter Demographics

The data shown below were collected from the profiles of 10 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 33%
Lecturer > Senior Lecturer 4 22%
Unspecified 3 17%
Researcher 2 11%
Student > Bachelor 1 6%
Other 2 11%
Readers by discipline Count As %
Economics, Econometrics and Finance 6 33%
Unspecified 4 22%
Mathematics 3 17%
Computer Science 3 17%
Business, Management and Accounting 1 6%
Other 1 6%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 12 January 2018.
All research outputs
#1,846,076
of 11,454,620 outputs
Outputs from arXiv
#48,134
of 569,651 outputs
Outputs of similar age
#65,938
of 274,270 outputs
Outputs of similar age from arXiv
#3,443
of 32,236 outputs
Altmetric has tracked 11,454,620 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 569,651 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 274,270 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 75% of its contemporaries.
We're also able to compare this research output to 32,236 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.