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Electron-Beam Manipulation of Silicon Dopants in Graphene

Overview of attention for article published in Nano Letters, June 2018
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
13 news outlets
blogs
4 blogs
twitter
12 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
26 Mendeley
Title
Electron-Beam Manipulation of Silicon Dopants in Graphene
Published in
Nano Letters, June 2018
DOI 10.1021/acs.nanolett.8b02406
Pubmed ID
Authors

Mukesh Tripathi, Andreas Mittelberger, Nicholas A. Pike, Clemens Mangler, Jannik C. Meyer, Matthieu J. Verstraete, Jani Kotakoski, Toma Susi

Abstract

The direct manipulation of individual atoms in materials using scanning probe microscopy has been a seminal achievement of nanotechnology. Recent advances in imaging resolution and sample stability have made scanning transmission electron microscopy a promising alternative for single-atom manipulation of covalently bound materials. Pioneering experiments using an atomically focused electron beam have demonstrated the directed movement of silicon atoms over a handful of sites within the graphene lattice. Here, we achieve a much greater degree of control, allowing us to precisely move silicon impurities along an extended path, circulating a single hexagon, or back and forth between the two graphene sublattices. Even with manual operation, our manipulation rate is already comparable to the state-of-the-art in any atomically precise technique. We further explore the influence of electron energy on the manipulation rate, supported by improved theoretical modeling taking into account the vibrations of atoms near the impurities, and implement feedback to detect manipulation events in real time. In addition to atomic-level engineering of its structure and properties, graphene also provides an excellent platform for refining the accuracy of quantitative models and for the development of automated manipulation.

Twitter Demographics

The data shown below were collected from the profiles of 12 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 35%
Unspecified 5 19%
Student > Master 4 15%
Student > Postgraduate 2 8%
Researcher 2 8%
Other 4 15%
Readers by discipline Count As %
Unspecified 9 35%
Materials Science 8 31%
Physics and Astronomy 5 19%
Business, Management and Accounting 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Other 2 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 117. 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 27 July 2018.
All research outputs
#105,061
of 12,064,071 outputs
Outputs from Nano Letters
#85
of 7,737 outputs
Outputs of similar age
#5,231
of 249,608 outputs
Outputs of similar age from Nano Letters
#5
of 186 outputs
Altmetric has tracked 12,064,071 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,737 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one has done particularly well, scoring higher than 98% 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 249,608 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 97% of its contemporaries.
We're also able to compare this research output to 186 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 97% of its contemporaries.