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Mendeley readers
Attention Score in Context
| 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 M. 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 24% |
| Researcher | 6 | 14% |
| Student > Doctoral Student | 3 | 7% |
| Student > Bachelor | 3 | 7% |
| Professor > Associate Professor | 3 | 7% |
| Other | 7 | 17% |
| Unknown | 10 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 6 | 14% |
| Engineering | 6 | 14% |
| Physics and Astronomy | 5 | 12% |
| Materials Science | 4 | 10% |
| Agricultural and Biological Sciences | 3 | 7% |
| Other | 6 | 14% |
| Unknown | 12 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 08 November 2022.
All research outputs
#4,765,602
of 23,056,273 outputs
Outputs from Biosensors
#133
of 1,375 outputs
Outputs of similar age
#65,346
of 285,261 outputs
Outputs of similar age from Biosensors
#3
of 8 outputs
Altmetric has tracked 23,056,273 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,375 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done well, scoring higher than 89% 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 285,261 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.