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Growth mechanism of carbon nanotubes: a nano Czochralski model

Overview of attention for article published in Discover Nano, July 2012
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32 Mendeley
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Title
Growth mechanism of carbon nanotubes: a nano Czochralski model
Published in
Discover Nano, July 2012
DOI 10.1186/1556-276x-7-356
Pubmed ID
Authors

Jingyu Lu, Jianmin Miao

Abstract

Carbon nanotubes (CNTs) have been under intense investigations during the past two decades due to their unique physical and chemical properties; however, there is still no commonly accepted growth mechanism to describe the growth behavior of CNTs. Here, we propose a nano Czochralski (CZ) model which regards the catalytic growth of a CNT as a CZ process taking place on the nano scale. The main idea is that, during the CNT growth, each catalyst particle acts as a nano crucible to nucleate and maintain the CNT growth, and the extruding CNT rotates relative to the nano crucible, leading to a chirality-dependent growth rate. In this case, the structural quality gradually changes along the CNT due to the dynamic generation-reconstruction-diffusion of defects during the CNT growth. The nano CZ mechanism may also apply to the catalytic growth of many other one-dimensional (1D) nanostructures (including various nanotubes and nanowires), thus further efforts will be stimulated in the quality and property control, as well as application explorations of these 1D nanomaterials.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Russia 1 3%
Argentina 1 3%
Unknown 30 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 25%
Student > Master 7 22%
Professor > Associate Professor 5 16%
Researcher 4 13%
Student > Bachelor 2 6%
Other 2 6%
Unknown 4 13%
Readers by discipline Count As %
Materials Science 6 19%
Engineering 5 16%
Chemistry 5 16%
Physics and Astronomy 4 13%
Chemical Engineering 1 3%
Other 1 3%
Unknown 10 31%
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 01 July 2012.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from Discover Nano
#798
of 1,146 outputs
Outputs of similar age
#159,964
of 176,747 outputs
Outputs of similar age from Discover Nano
#19
of 43 outputs
Altmetric has tracked 25,374,647 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 1,146 research outputs from this source. They receive a mean Attention Score of 3.5. 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 176,747 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 43 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.