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Econophysics and Data Driven Modelling of Market Dynamics

Overview of attention for book
Cover of 'Econophysics and Data Driven Modelling of Market Dynamics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Empirical Evidence of Market Inefficiency: Predicting Single-Stock Returns
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    Chapter 2 Calibration of a Stock’s Beta Using Option Prices
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    Chapter 3 Long-Term Evolution of the Topological Structure of Interactions Among Stocks in the New York Stock Exchange 1925–2012
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    Chapter 4 Bitcoin Dynamics: The Inverse Square Law of Price Fluctuations and Other Stylized Facts
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    Chapter 5 Are Firms that Are Awarded More Patents More Productive?
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    Chapter 6 Nonlinear Dynamics of Stock Markets During Critical Periods
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    Chapter 7 Probabilistic Flows of Inhabitants in Urban Areas and Self-organization in Housing Markets
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    Chapter 8 Performance of Inequality Indices
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    Chapter 9 A Dynamical View of Different Solution Paradigms in Two-Person Symmetric Games: Nash Versus Co-action Equilibria
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    Chapter 10 Spatio-Temporal Patterns of Development in India: Identifying Geographical Features of Growth and Urbanisation
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    Chapter 11 Physicists’ Approaches to a Few Economic Problems
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    Chapter 12 Socio-economic inequalities: a statistical physics perspective
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    Chapter 13 Judging the Impact of ‘Econophysics’ Through Response to Questionnaire
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    Chapter 14 Commentary: Influence of Econophysics Research on Contemporary Researches in Social Sciences
Attention for Chapter 12: Socio-economic inequalities: a statistical physics perspective
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

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17 X users
facebook
1 Facebook page

Readers on

mendeley
36 Mendeley
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Chapter title
Socio-economic inequalities: a statistical physics perspective
Chapter number 12
Book title
Econophysics and Data Driven Modelling of Market Dynamics
Published in
arXiv, September 2014
DOI 10.1007/978-3-319-08473-2_12
Book ISBNs
978-3-31-908472-5, 978-3-31-908473-2
Authors

Arnab Chatterjee

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 3%
United States 1 3%
Estonia 1 3%
Vietnam 1 3%
Unknown 32 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 25%
Student > Ph. D. Student 9 25%
Other 5 14%
Student > Master 3 8%
Student > Bachelor 2 6%
Other 5 14%
Unknown 3 8%
Readers by discipline Count As %
Physics and Astronomy 10 28%
Mathematics 6 17%
Social Sciences 3 8%
Computer Science 3 8%
Business, Management and Accounting 2 6%
Other 7 19%
Unknown 5 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 01 January 2017.
All research outputs
#3,655,215
of 25,193,883 outputs
Outputs from arXiv
#65,340
of 1,026,194 outputs
Outputs of similar age
#39,154
of 259,340 outputs
Outputs of similar age from arXiv
#450
of 11,410 outputs
Altmetric has tracked 25,193,883 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,026,194 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 93% 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 259,340 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 11,410 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 96% of its contemporaries.