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Programmable hydrogenation of graphene for novel nanocages

Overview of attention for article published in Scientific Reports, November 2013
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Title
Programmable hydrogenation of graphene for novel nanocages
Published in
Scientific Reports, November 2013
DOI 10.1038/srep03162
Pubmed ID
Authors

Liuyang Zhang, Xiaowei Zeng, Xianqiao Wang

Abstract

Folded graphene has exhibited novel electrical and mechanical properties unmatched by pristine graphene, which implies that morphology of graphene adds the dimensionality of design space to tailor its properties. However, how to overcome the energy barrier of the folding process to fold the graphene with the specific morphology remains unexplored. Here we propose a programmable chemical functionalization by doping a pristine graphene sheet in a certain pattern with hydrogen atoms to precisely control its folding morphology. Molecular dynamics simulation has been performed to create a cross-shaped cubic graphene nanocage encapsulating a biomolecule by warping the top graphene layer downward and the bottom graphene layer upward to mimic the drug delivery vehicle. Such a paradigm, programmable enabled graphene nanocage, opens up a new avenue to control the 3D architecture of folded graphene and therefore provides a feasible way to exploit and fabricate the graphene-based unconventional nanomaterials and nanodevices for drug delivery.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 2 5%
Netherlands 1 2%
Unknown 40 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 23%
Researcher 7 16%
Professor > Associate Professor 4 9%
Student > Master 4 9%
Student > Bachelor 3 7%
Other 5 12%
Unknown 10 23%
Readers by discipline Count As %
Physics and Astronomy 10 23%
Engineering 10 23%
Chemistry 5 12%
Materials Science 5 12%
Agricultural and Biological Sciences 1 2%
Other 4 9%
Unknown 8 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 07 November 2013.
All research outputs
#20,209,145
of 22,729,647 outputs
Outputs from Scientific Reports
#104,639
of 122,531 outputs
Outputs of similar age
#187,803
of 215,614 outputs
Outputs of similar age from Scientific Reports
#610
of 724 outputs
Altmetric has tracked 22,729,647 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 122,531 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 215,614 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 724 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.