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Van der Waals stacks of few-layer h-AlN with graphene: an ab initio study of structural, interaction and electronic properties

Overview of attention for article published in Nanotechnology, February 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

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1 news outlet
twitter
1 X user

Citations

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93 Dimensions

Readers on

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27 Mendeley
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Title
Van der Waals stacks of few-layer h-AlN with graphene: an ab initio study of structural, interaction and electronic properties
Published in
Nanotechnology, February 2016
DOI 10.1088/0957-4484/27/14/145601
Pubmed ID
Authors

Renato B dos Santos, F de Brito Mota, R Rivelino, A Kakanakova-Georgieva, G K Gueorguiev

Abstract

Graphite-like hexagonal AlN (h-AlN) multilayers have been experimentally manifested and theoretically modeled. The development of any functional electronics applications of h-AlN would most certainly require its integration with other layered materials, particularly graphene. Here, by employing vdW-corrected density functional theory calculations, we investigate structure, interaction energy, and electronic properties of van der Waals stacking sequences of few-layer h-AlN with graphene. We find that the presence of a template such as graphene induces enough interlayer charge separation in h-AlN, favoring a graphite-like stacking formation. We also find that the interface dipole, calculated per unit cell of the stacks, tends to increase with the number of stacked layers of h-AlN and graphene.

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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 19%
Researcher 3 11%
Professor 2 7%
Other 2 7%
Student > Master 2 7%
Other 4 15%
Unknown 9 33%
Readers by discipline Count As %
Physics and Astronomy 5 19%
Chemistry 4 15%
Computer Science 2 7%
Engineering 2 7%
Materials Science 2 7%
Other 2 7%
Unknown 10 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 02 December 2020.
All research outputs
#4,527,265
of 22,851,489 outputs
Outputs from Nanotechnology
#778
of 4,527 outputs
Outputs of similar age
#70,269
of 298,745 outputs
Outputs of similar age from Nanotechnology
#34
of 95 outputs
Altmetric has tracked 22,851,489 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,527 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done well, scoring higher than 82% 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 298,745 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 76% of its contemporaries.
We're also able to compare this research output to 95 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 64% of its contemporaries.