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| Title |
Selective control of reconfigurable chiral plasmonic metamolecules
|
|---|---|
| Published in |
Science Advances, April 2017
|
| DOI | 10.1126/sciadv.1602803 |
| Pubmed ID | |
| Authors |
Anton Kuzyk, Maximilian J Urban, Andrea Idili, Francesco Ricci, Na Liu |
| Abstract |
Selective configuration control of plasmonic nanostructures using either top-down or bottom-up approaches has remained challenging in the field of active plasmonics. We demonstrate the realization of DNA-assembled reconfigurable plasmonic metamolecules, which can respond to a wide range of pH changes in a programmable manner. This programmability allows for selective reconfiguration of different plasmonic metamolecule species coexisting in solution through simple pH tuning. This approach enables discrimination of chiral plasmonic quasi-enantiomers and arbitrary tuning of chiroptical effects with unprecedented degrees of freedom. Our work outlines a new blueprint for implementation of advanced active plasmonic systems, in which individual structural species can be programmed to perform multiple tasks and functions in response to independent external stimuli. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Congo, The Democratic Republic of the | 1 | 33% |
| United Kingdom | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 132 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 24% |
| Researcher | 24 | 18% |
| Student > Master | 17 | 13% |
| Student > Bachelor | 11 | 8% |
| Student > Doctoral Student | 8 | 6% |
| Other | 20 | 15% |
| Unknown | 20 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 33 | 25% |
| Physics and Astronomy | 24 | 18% |
| Engineering | 20 | 15% |
| Biochemistry, Genetics and Molecular Biology | 9 | 7% |
| Materials Science | 8 | 6% |
| Other | 11 | 8% |
| Unknown | 27 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 50. 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 04 May 2021.
All research outputs
#833,223
of 25,382,440 outputs
Outputs from Science Advances
#4,974
of 12,215 outputs
Outputs of similar age
#17,020
of 323,266 outputs
Outputs of similar age from Science Advances
#97
of 193 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,215 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 120.3. This one has gotten more attention than average, scoring higher than 59% 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 323,266 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 94% of its contemporaries.
We're also able to compare this research output to 193 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.