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Spin-resolved Andreev levels and parity crossings in hybrid superconductor–semiconductor nanostructures

Overview of attention for article published in Nature Nanotechnology, December 2013
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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 (94th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

news
2 news outlets
twitter
7 X users
facebook
1 Facebook page
wikipedia
3 Wikipedia pages

Citations

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516 Dimensions

Readers on

mendeley
321 Mendeley
Title
Spin-resolved Andreev levels and parity crossings in hybrid superconductor–semiconductor nanostructures
Published in
Nature Nanotechnology, December 2013
DOI 10.1038/nnano.2013.267
Pubmed ID
Authors

Eduardo J. H. Lee, Xiaocheng Jiang, Manuel Houzet, Ramón Aguado, Charles M. Lieber, Silvano De Franceschi

Abstract

The physics and operating principles of hybrid superconductor-semiconductor devices rest ultimately on the magnetic properties of their elementary subgap excitations, usually called Andreev levels. Here we report a direct measurement of the Zeeman effect on the Andreev levels of a semiconductor quantum dot with large electron g-factor, strongly coupled to a conventional superconductor with a large critical magnetic field. This material combination allows spin degeneracy to be lifted without destroying superconductivity. We show that a spin-split Andreev level crossing the Fermi energy results in a quantum phase transition to a spin-polarized state, which implies a change in the fermionic parity of the system. This crossing manifests itself as a zero-bias conductance anomaly at finite magnetic field with properties that resemble those expected for Majorana modes in a topological superconductor. Although this resemblance is understood without evoking topological superconductivity, the observed parity transitions could be regarded as precursors of Majorana modes in the long-wire limit.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 321 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 6 2%
United States 4 1%
Denmark 2 <1%
France 2 <1%
Netherlands 1 <1%
Brazil 1 <1%
Switzerland 1 <1%
Turkey 1 <1%
Israel 1 <1%
Other 2 <1%
Unknown 300 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 75 23%
Student > Ph. D. Student 73 23%
Student > Master 41 13%
Professor 19 6%
Student > Bachelor 18 6%
Other 46 14%
Unknown 49 15%
Readers by discipline Count As %
Physics and Astronomy 210 65%
Materials Science 20 6%
Engineering 17 5%
Chemistry 8 2%
Agricultural and Biological Sciences 2 <1%
Other 9 3%
Unknown 55 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 15 December 2022.
All research outputs
#1,608,275
of 25,748,735 outputs
Outputs from Nature Nanotechnology
#1,290
of 3,772 outputs
Outputs of similar age
#17,335
of 323,325 outputs
Outputs of similar age from Nature Nanotechnology
#26
of 63 outputs
Altmetric has tracked 25,748,735 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,772 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.5. This one has gotten more attention than average, scoring higher than 65% 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 323,325 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.