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Modular assembly of superstructures from polyphenol-functionalized building blocks

Overview of attention for article published in Nature Nanotechnology, October 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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
15 news outlets
blogs
2 blogs
twitter
15 X users
patent
2 patents
wikipedia
1 Wikipedia page

Citations

dimensions_citation
357 Dimensions

Readers on

mendeley
257 Mendeley
Title
Modular assembly of superstructures from polyphenol-functionalized building blocks
Published in
Nature Nanotechnology, October 2016
DOI 10.1038/nnano.2016.172
Pubmed ID
Authors

Junling Guo, Blaise L. Tardy, Andrew J. Christofferson, Yunlu Dai, Joseph J. Richardson, Wei Zhu, Ming Hu, Yi Ju, Jiwei Cui, Raymond R. Dagastine, Irene Yarovsky, Frank Caruso

Abstract

The organized assembly of particles into superstructures is typically governed by specific molecular interactions or external directing factors associated with the particle building blocks, both of which are particle-dependent. These superstructures are of interest to a variety of fields because of their distinct mechanical, electronic, magnetic and optical properties. Here, we establish a facile route to a diverse range of superstructures based on the polyphenol surface-functionalization of micro- and nanoparticles, nanowires, nanosheets, nanocubes and even cells. This strategy can be used to access a large number of modularly assembled superstructures, including core-satellite, hollow and hierarchically organized supraparticles. Colloidal-probe atomic force microscopy and molecular dynamics simulations provide detailed insights into the role of surface functionalization and how this facilitates superstructure construction. Our work provides a platform for the rapid generation of superstructured assemblies across a wide range of length scales, from nanometres to centimetres.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 X users 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 257 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Denmark 1 <1%
Australia 1 <1%
Unknown 254 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 73 28%
Researcher 48 19%
Student > Master 30 12%
Student > Doctoral Student 13 5%
Student > Bachelor 8 3%
Other 27 11%
Unknown 58 23%
Readers by discipline Count As %
Chemistry 61 24%
Materials Science 48 19%
Engineering 22 9%
Chemical Engineering 14 5%
Agricultural and Biological Sciences 11 4%
Other 28 11%
Unknown 73 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 130. 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 September 2021.
All research outputs
#307,122
of 24,694,993 outputs
Outputs from Nature Nanotechnology
#246
of 3,646 outputs
Outputs of similar age
#6,070
of 326,396 outputs
Outputs of similar age from Nature Nanotechnology
#9
of 67 outputs
Altmetric has tracked 24,694,993 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,646 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.0. This one has done particularly well, scoring higher than 93% 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 326,396 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 98% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.