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Superconductor to Mott insulator transition in YBa2Cu3O7/LaCaMnO3 heterostructures

Overview of attention for article published in Scientific Reports, September 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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4 news outlets
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2 X users

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49 Mendeley
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2 CiteULike
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Article details
Title
Superconductor to Mott insulator transition in YBa2Cu3O7/LaCaMnO3 heterostructures
Published in
Scientific Reports, September 2016
DOI 10.1038/srep33184
Pubmed ID
Authors
Abstract

The superconductor-to-insulator transition (SIT) induced by means such as external magnetic fields, disorder or spatial confinement is a vivid illustration of a quantum phase transition dramatically affecting the superconducting order parameter. In pursuit of a new realization of the SIT by interfacial charge transfer, we developed extremely thin superlattices composed of high Tc superconductor YBa2Cu3O7 (YBCO) and colossal magnetoresistance ferromagnet La0.67Ca0.33MnO3 (LCMO). By using linearly polarized resonant X-ray absorption spectroscopy and magnetic circular dichroism, combined with hard X-ray photoelectron spectroscopy, we derived a complete picture of the interfacial carrier doping in cuprate and manganite atomic layers, leading to the transition from superconducting to an unusual Mott insulating state emerging with the increase of LCMO layer thickness. In addition, contrary to the common perception that only transition metal ions may respond to the charge transfer process, we found that charge is also actively compensated by rare-earth and alkaline-earth metal ions of the interface. Such deterministic control of Tc by pure electronic doping without any hindering effects of chemical substitution is another promising route to disentangle the role of disorder on the pseudo-gap and charge density wave phases of underdoped cuprates.

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 2%
Japan 1 2%
Canada 1 2%
Unknown 46 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 14 29%
Student > Ph. D. Student 12 24%
Student > Doctoral Student 4 8%
Student > Master 4 8%
Professor 3 6%
Other 5 10%
Unknown 7 14%
Readers by discipline
Readers by discipline Count As %
Physics and Astronomy 26 53%
Materials Science 9 18%
Chemistry 2 4%
Engineering 2 4%
Agricultural and Biological Sciences 1 2%
Other 1 2%
Unknown 8 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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 31 October 2016.
All research outputs
#936,409
of 22,882,389 outputs
Outputs from Scientific Reports
#9,777
of 123,615 outputs
Outputs of similar age
#18,719
of 321,185 outputs
Outputs of similar age from Scientific Reports
#330
of 3,552 outputs
Altmetric has tracked 22,882,389 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 123,615 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one has done particularly well, scoring higher than 92% 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 321,185 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 3,552 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 90% of its contemporaries.