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Detection of single amino acid mutation in human breast cancer by disordered plasmonic self-similar chain

Overview of attention for article published in Science Advances, September 2015
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Title
Detection of single amino acid mutation in human breast cancer by disordered plasmonic self-similar chain
Published in
Science Advances, September 2015
DOI 10.1126/sciadv.1500487
Pubmed ID
Authors

Maria Laura Coluccio, Francesco Gentile, Gobind Das, Annalisa Nicastri, Angela Mena Perri, Patrizio Candeloro, Gerardo Perozziello, Remo Proietti Zaccaria, Juan Sebastian Totero Gongora, Salma Alrasheed, Andrea Fratalocchi, Tania Limongi, Giovanni Cuda, Enzo Di Fabrizio

Abstract

Control of the architecture and electromagnetic behavior of nanostructures offers the possibility of designing and fabricating sensors that, owing to their intrinsic behavior, provide solutions to new problems in various fields. We show detection of peptides in multicomponent mixtures derived from human samples for early diagnosis of breast cancer. The architecture of sensors is based on a matrix array where pixels constitute a plasmonic device showing a strong electric field enhancement localized in an area of a few square nanometers. The method allows detection of single point mutations in peptides composing the BRCA1 protein. The sensitivity demonstrated falls in the picomolar (10(-12) M) range. The success of this approach is a result of accurate design and fabrication control. The residual roughness introduced by fabrication was taken into account in optical modeling and was a further contributing factor in plasmon localization, increasing the sensitivity and selectivity of the sensors. This methodology developed for breast cancer detection can be considered a general strategy that is applicable to various pathologies and other chemical analytical cases where complex mixtures have to be resolved in their constitutive components.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 21%
Researcher 7 21%
Student > Master 4 12%
Professor > Associate Professor 3 9%
Student > Doctoral Student 2 6%
Other 5 15%
Unknown 6 18%
Readers by discipline Count As %
Engineering 7 21%
Chemistry 4 12%
Biochemistry, Genetics and Molecular Biology 3 9%
Physics and Astronomy 3 9%
Materials Science 3 9%
Other 6 18%
Unknown 8 24%
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 10 September 2015.
All research outputs
#18,426,826
of 22,828,180 outputs
Outputs from Science Advances
#9,406
of 9,787 outputs
Outputs of similar age
#192,525
of 267,011 outputs
Outputs of similar age from Science Advances
#93
of 94 outputs
Altmetric has tracked 22,828,180 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,787 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 121.5. This one is in the 2nd percentile – i.e., 2% 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 267,011 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 94 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.