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Sensing of p53 and EGFR Biomarkers Using High Efficiency SERS Substrates

Overview of attention for article published in Biosensors, October 2015
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About this Attention Score

  • Among the highest-scoring outputs from this source (#23 of 206)
  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
30 Mendeley
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Title
Sensing of p53 and EGFR Biomarkers Using High Efficiency SERS Substrates
Published in
Biosensors, October 2015
DOI 10.3390/bios5040664
Pubmed ID
Authors

Peter Owens, Nigel Phillipson, Jayakumar Perumal, Gerard O’Connor, Malini Olivo

Abstract

In this paper we describe a method for the determination of protein concentration using Surface Enhanced Raman Resonance Scattering (SERRS) immunoassays. We use two different Raman active linkers, 4-aminothiophenol and 6-mercaptopurine, to bind to a high sensitivity SERS substrate and investigate the influence of varying concentrations of p53 and EGFR on the Raman spectra. Perturbations in the spectra are due to the influence of protein-antibody binding on Raman linker molecules and are attributed to small changes in localised mechanical stress, which are enhanced by SERRS. These influences are greatest for peaks due to the C-S functional group and the Full Width Half Maximum (FWHM) was found to be inversely proportional to protein concentration.

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 30%
Researcher 4 13%
Student > Master 3 10%
Professor 2 7%
Professor > Associate Professor 2 7%
Other 5 17%
Unknown 5 17%
Readers by discipline Count As %
Engineering 5 17%
Materials Science 4 13%
Agricultural and Biological Sciences 3 10%
Physics and Astronomy 3 10%
Chemistry 3 10%
Other 5 17%
Unknown 7 23%

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 28 September 2017.
All research outputs
#3,350,010
of 11,834,873 outputs
Outputs from Biosensors
#23
of 206 outputs
Outputs of similar age
#98,516
of 266,746 outputs
Outputs of similar age from Biosensors
#3
of 29 outputs
Altmetric has tracked 11,834,873 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 206 research outputs from this source. They receive a mean Attention Score of 2.0. This one has done well, scoring higher than 83% 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 266,746 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.