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Negative Refractive Index Metasurfaces for Enhanced Biosensing

Overview of attention for article published in Materials, December 2010
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Title
Negative Refractive Index Metasurfaces for Enhanced Biosensing
Published in
Materials, December 2010
DOI 10.3390/ma4010001
Pubmed ID
Authors

Zoran Jakšić, Slobodan Vuković, Jovan Matovic, Dragan Tanasković

Abstract

In this paper we review some metasurfaces with negative values of effective refractive index, as scaffolds for a new generation of surface plasmon polariton-based biological or chemical sensors. The electromagnetic properties of a metasurface may be tuned by its full immersion into analyte, or by the adsorption of a thin layer on it, both of which change its properties as a plasmonic guide. We consider various simple forms of plasmonic crystals suitable for this purpose. We start with the basic case of a freestanding, electromagnetically symmetrical plasmonic slab and analyze different ultrathin, multilayer structures, to finally consider some two-dimensional "wallpaper" geometries like split ring resonator arrays and fishnet structures. A part of the text is dedicated to the possibility of multifunctionalization where a metasurface structure is simultaneously utilized both for sensing and for selectivity enhancement. Finally we give an overview of surface-bound intrinsic electromagnetic noise phenomena that limits the ultimate performance of a metasurfaces sensor.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 <1%
Spain 1 <1%
Unknown 116 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 24%
Student > Master 14 12%
Researcher 13 11%
Professor > Associate Professor 9 8%
Student > Bachelor 7 6%
Other 17 14%
Unknown 30 25%
Readers by discipline Count As %
Engineering 35 30%
Physics and Astronomy 26 22%
Materials Science 11 9%
Social Sciences 3 3%
Biochemistry, Genetics and Molecular Biology 2 2%
Other 5 4%
Unknown 36 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 12 December 2022.
All research outputs
#7,688,781
of 23,393,513 outputs
Outputs from Materials
#1,153
of 8,047 outputs
Outputs of similar age
#55,600
of 184,597 outputs
Outputs of similar age from Materials
#11
of 16 outputs
Altmetric has tracked 23,393,513 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,047 research outputs from this source. They receive a mean Attention Score of 2.1. This one has done well, scoring higher than 80% 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 184,597 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.