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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

  • Among the highest-scoring outputs from this source (#21 of 102)
  • Above-average Attention Score compared to outputs of the same age (63rd percentile)

Mentioned by

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8 X users

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29 Mendeley
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Article details
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

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

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.
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Geographical breakdown

Geographical breakdown
Country Count As %
Netherlands 1 3%
United Kingdom 1 3%
Germany 1 3%
Unknown 26 90%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 7 24%
Student > Master 5 17%
Researcher 5 17%
Professor > Associate Professor 3 10%
Student > Bachelor 1 3%
Other 2 7%
Unknown 6 21%
Readers by discipline
Readers by discipline Count As %
Economics, Econometrics and Finance 10 34%
Mathematics 5 17%
Business, Management and Accounting 3 10%
Computer Science 2 7%
Physics and Astronomy 1 3%
Other 1 3%
Unknown 7 24%
Attention Score in Context

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
#10,703,855
of 32,950,213 outputs
Outputs from Computational Management Science
#21
of 102 outputs
Outputs of similar age
#129,720
of 359,617 outputs
Outputs of similar age from Computational Management Science
#1
of 3 outputs
Altmetric has tracked 32,950,213 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 102 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has done well, scoring higher than 79% 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 359,617 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 63% of its contemporaries.
We're also able to compare this research output to 3 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