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Chern and Fu-Kane-Mele invariants as topological obstructions

Overview of attention for book
Cover of 'Chern and Fu-Kane-Mele invariants as topological obstructions'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Shell Interactions for Dirac Operators
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    Chapter 2 Correlation Inequalities for Classical and Quantum XY Models
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    Chapter 3 Dissipatively Generated Entanglement
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    Chapter 4 Abelian Gauge Potentials on Cubic Lattices
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    Chapter 5 Relative-Zeta and Casimir Energy for a Semitransparent Hyperplane Selecting Transverse Modes
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    Chapter 6 Analysis of Fluctuations Around Non-linear Effective Dynamics
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    Chapter 7 Logarithmic Sobolev Inequalities for an Ideal Bose Gas
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    Chapter 8 Spherical Schrödinger Hamiltonians: Spectral Analysis and Time Decay
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    Chapter 9 On the Ground State for the NLS Equation on a General Graph
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    Chapter 10 Self-Adjoint Extensions of Dirac Operator with Coulomb Potential
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    Chapter 11 Dispersive Estimates for Schrödinger Operators with Point Interactions in ℝ 3
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    Chapter 12 Chern and Fu–Kane–Mele Invariants as Topological Obstructions
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    Chapter 13 Norm Approximation for Many-Body Quantum Dynamics and Bogoliubov Theory
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    Chapter 14 Effective Non-linear Dynamics of Binary Condensates and Open Problems
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    Chapter 15 Remarks on the Derivation of Gross-Pitaevskii Equation with Magnetic Laplacian
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    Chapter 16 On the Inverse Spectral Problems for Quantum Graphs
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    Chapter 17 Double-Barrier Resonances and Time Decay of the Survival Probability: A Toy Model
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
8 tweeters
facebook
1 Facebook page

Readers on

mendeley
7 Mendeley
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Title
Chern and Fu-Kane-Mele invariants as topological obstructions
Published by
arXiv, May 2017
DOI 10.1007/978-3-319-58904-6
ISBNs
978-3-31-958903-9, 978-3-31-958904-6
Authors

Domenico Monaco

Editors

Michelangeli, Alessandro, Dell'Antonio, Gianfausto

Twitter Demographics

The data shown below were collected from the profiles of 8 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 14%
Unknown 6 86%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 29%
Researcher 2 29%
Student > Ph. D. Student 2 29%
Other 1 14%
Professor 1 14%
Other 2 29%
Readers by discipline Count As %
Physics and Astronomy 5 71%
Mathematics 3 43%
Computer Science 1 14%
Materials Science 1 14%

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 09 October 2017.
All research outputs
#3,878,443
of 13,459,635 outputs
Outputs from arXiv
#81,673
of 523,048 outputs
Outputs of similar age
#90,528
of 264,667 outputs
Outputs of similar age from arXiv
#3,211
of 20,054 outputs
Altmetric has tracked 13,459,635 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 523,048 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 83% 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 264,667 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 65% of its contemporaries.
We're also able to compare this research output to 20,054 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.