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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The multiplex nature of global financial contagions
|
|---|---|
| Published in |
Applied Network Science, October 2020
|
| DOI | 10.1007/s41109-020-00301-2 |
| Authors |
R. Maria del Rio-Chanona, Yevgeniya Korniyenko, Manasa Patnam, Mason A. Porter |
X Demographics
The data shown below were collected from the profiles of 37 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 7 | 19% |
| United States | 4 | 11% |
| Italy | 3 | 8% |
| Austria | 2 | 5% |
| Canada | 1 | 3% |
| Unknown | 20 | 54% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 18 | 49% |
| Members of the public | 18 | 49% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 17% |
| Researcher | 4 | 14% |
| Other | 3 | 10% |
| Student > Bachelor | 3 | 10% |
| Professor | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 11 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 6 | 21% |
| Business, Management and Accounting | 3 | 10% |
| Mathematics | 2 | 7% |
| Computer Science | 1 | 3% |
| Arts and Humanities | 1 | 3% |
| Other | 5 | 17% |
| Unknown | 11 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 25 February 2021.
All research outputs
#1,608,025
of 25,399,318 outputs
Outputs from Applied Network Science
#35
of 582 outputs
Outputs of similar age
#42,786
of 435,707 outputs
Outputs of similar age from Applied Network Science
#4
of 37 outputs
Altmetric has tracked 25,399,318 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 582 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one has done particularly well, scoring higher than 94% 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 435,707 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.