| Title |
Assessing the risk of default propagation in interconnected sectoral financial networks
|
|---|---|
| Published in |
EPJ Data Science, November 2019
|
| DOI | 10.1140/epjds/s13688-019-0211-y |
| Authors |
Adrià Barja, Alejandro Martínez, Alex Arenas, Pablo Fleurquin, Jordi Nin, José J. Ramasco, Elena Tomás |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 17% |
| Russia | 1 | 17% |
| United Kingdom | 1 | 17% |
| Argentina | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 19% |
| Student > Doctoral Student | 4 | 15% |
| Student > Master | 2 | 8% |
| Other | 1 | 4% |
| Professor | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 10 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 19% |
| Economics, Econometrics and Finance | 4 | 15% |
| Engineering | 2 | 8% |
| Business, Management and Accounting | 2 | 8% |
| Linguistics | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 11 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 05 April 2020.
All research outputs
#5,645,008
of 23,170,347 outputs
Outputs from EPJ Data Science
#284
of 379 outputs
Outputs of similar age
#103,441
of 364,567 outputs
Outputs of similar age from EPJ Data Science
#8
of 9 outputs
Altmetric has tracked 23,170,347 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 379 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.1. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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 364,567 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 71% 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.