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Heterogeneous expectations leading to bubbles and crashes in asset markets: tipping point, herding behavior and group effect in an agent-based model

Overview of attention for article published in Journal of Open Innovation: Technology, Market, and Complexity, September 2015
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Mentioned by

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1 X user

Citations

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6 Dimensions

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5 Mendeley
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Title
Heterogeneous expectations leading to bubbles and crashes in asset markets: tipping point, herding behavior and group effect in an agent-based model
Published in
Journal of Open Innovation: Technology, Market, and Complexity, September 2015
DOI 10.1186/s40852-015-0014-8
Authors

Sunyoung Lee, Keun Lee

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 20%
Student > Doctoral Student 1 20%
Student > Master 1 20%
Unknown 2 40%
Readers by discipline Count As %
Economics, Econometrics and Finance 2 40%
Social Sciences 1 20%
Unknown 2 40%
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 09 April 2018.
All research outputs
#20,655,488
of 25,371,288 outputs
Outputs from Journal of Open Innovation: Technology, Market, and Complexity
#210
of 298 outputs
Outputs of similar age
#203,160
of 276,785 outputs
Outputs of similar age from Journal of Open Innovation: Technology, Market, and Complexity
#5
of 13 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 298 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 8th percentile – i.e., 8% 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 276,785 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.