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The organization of the interbank network and how ECB unconventional measures affected the e-MID overnight market

Overview of attention for article published in Computational Management Science, October 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)

Mentioned by

twitter
9 tweeters

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
18 Mendeley
Title
The organization of the interbank network and how ECB unconventional measures affected the e-MID overnight market
Published in
Computational Management Science, October 2017
DOI 10.1007/s10287-017-0293-6
Authors

Paolo Barucca, Fabrizio Lillo

Twitter Demographics

The data shown below were collected from the profiles of 9 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 %
Germany 1 6%
United Kingdom 1 6%
Netherlands 1 6%
Unknown 15 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 33%
Researcher 5 28%
Student > Master 3 17%
Student > Bachelor 1 6%
Student > Postgraduate 1 6%
Other 2 11%
Readers by discipline Count As %
Economics, Econometrics and Finance 6 33%
Mathematics 4 22%
Unspecified 2 11%
Computer Science 1 6%
Business, Management and Accounting 1 6%
Other 4 22%

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 24 October 2018.
All research outputs
#3,234,940
of 12,400,657 outputs
Outputs from Computational Management Science
#6
of 36 outputs
Outputs of similar age
#91,372
of 296,129 outputs
Outputs of similar age from Computational Management Science
#1
of 4 outputs
Altmetric has tracked 12,400,657 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 36 research outputs from this source. They receive a mean Attention Score of 3.2. This one scored the same or higher as 30 of them.
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 296,129 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 68% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them