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Effects of dark pools on financial markets’ efficiency and price discovery function: an investigation by multi-agent simulations

Overview of attention for article published in Evolutionary and Institutional Economics Review, November 2015
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Title
Effects of dark pools on financial markets’ efficiency and price discovery function: an investigation by multi-agent simulations
Published in
Evolutionary and Institutional Economics Review, November 2015
DOI 10.1007/s40844-015-0020-3
Authors

Takanobu Mizuta, Shintaro Kosugi, Takuya Kusumoto, Wataru Matsumoto, Kiyoshi Izumi

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Estonia 1 9%
Unknown 10 91%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 3 27%
Researcher 2 18%
Student > Master 1 9%
Student > Doctoral Student 1 9%
Professor > Associate Professor 1 9%
Other 1 9%
Unknown 2 18%
Readers by discipline Count As %
Computer Science 3 27%
Business, Management and Accounting 2 18%
Mathematics 1 9%
Economics, Econometrics and Finance 1 9%
Physics and Astronomy 1 9%
Other 0 0%
Unknown 3 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 19 November 2015.
All research outputs
#17,031,736
of 25,028,065 outputs
Outputs from Evolutionary and Institutional Economics Review
#40
of 63 outputs
Outputs of similar age
#239,041
of 398,026 outputs
Outputs of similar age from Evolutionary and Institutional Economics Review
#2
of 2 outputs
Altmetric has tracked 25,028,065 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 63 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 12th percentile – i.e., 12% 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 398,026 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.