| Title |
Raman spectroscopy and multivariate analysis of serum samples from breast cancer patients
|
|---|---|
| Published in |
Lasers in Medical Science, February 2007
|
| DOI | 10.1007/s10103-006-0432-8 |
| Pubmed ID | |
| Authors |
J. L. Pichardo-Molina, C. Frausto-Reyes, O. Barbosa-García, R. Huerta-Franco, J. L. González-Trujillo, C. A. Ramírez-Alvarado, G. Gutiérrez-Juárez, C. Medina-Gutiérrez |
| Abstract |
Serum samples were studied using Raman spectroscopy and analyzed through the multivariate statistical methods of principal component analysis (PCA) and linear discriminant analysis (LDA). The blood samples were obtained from 11 patients who were clinically diagnosed with breast cancer and 12 healthy volunteer controls. The PCA allowed us to define the wavelength differences between the spectral bands of the control and patient groups. However, since the differences in the involved molecules were in their tertiary or quaternary structure, it was not possible to determine what molecule caused the observed differences in the spectra. The ratio of the corresponding band intensities were analyzed by calculating the p values and it was found that only seven of these band ratios were significant and corresponded to proteins, phospholipids, and polysaccharides. These specific bands might be helpful during screening for breast cancer using Raman Spectroscopy of serum samples. It is also shown that serum samples from patients with breast cancer and from the control group can be discriminated when the LDA is applied to their Raman spectra. |
Mendeley readers
The data shown below were compiled from readership statistics for 176 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 2% |
| Pakistan | 1 | <1% |
| France | 1 | <1% |
| Canada | 1 | <1% |
| Japan | 1 | <1% |
| Unknown | 169 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 47 | 27% |
| Researcher | 31 | 18% |
| Student > Master | 22 | 13% |
| Other | 9 | 5% |
| Student > Bachelor | 8 | 5% |
| Other | 23 | 13% |
| Unknown | 36 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 36 | 20% |
| Engineering | 23 | 13% |
| Physics and Astronomy | 20 | 11% |
| Agricultural and Biological Sciences | 19 | 11% |
| Biochemistry, Genetics and Molecular Biology | 8 | 5% |
| Other | 17 | 10% |
| Unknown | 53 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 26 June 2018.
All research outputs
#3,697,445
of 22,768,097 outputs
Outputs from Lasers in Medical Science
#74
of 1,307 outputs
Outputs of similar age
#17,776
of 162,260 outputs
Outputs of similar age from Lasers in Medical Science
#1
of 10 outputs
Altmetric has tracked 22,768,097 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,307 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done particularly well, scoring higher than 94% 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 162,260 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 89% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them