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Evaluation of Staining-Dependent Colour Changes in Resin Composites Using Principal Component Analysis

Overview of attention for article published in Scientific Reports, October 2015
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Title
Evaluation of Staining-Dependent Colour Changes in Resin Composites Using Principal Component Analysis
Published in
Scientific Reports, October 2015
DOI 10.1038/srep14638
Pubmed ID
Authors

D. Manojlovic, L. Lenhardt, B. Milićević, M. Antonov, V. Miletic, M. D. Dramićanin

Abstract

Colour changes in Gradia Direct™ composite after immersion in tea, coffee, red wine, Coca-Cola, Colgate mouthwash, and distilled water were evaluated using principal component analysis (PCA) and the CIELAB colour coordinates. The reflection spectra of the composites were used as input data for the PCA. The output data (scores and loadings) provided information about the magnitude and origin of the surface reflection changes after exposure to the staining solutions. The reflection spectra of the stained samples generally exhibited lower reflection in the blue spectral range, which was manifested in the lower content of the blue shade for the samples. Both analyses demonstrated the high staining abilities of tea, coffee, and red wine, which produced total colour changes of 4.31, 6.61, and 6.22, respectively, according to the CIELAB analysis. PCA revealed subtle changes in the reflection spectra of composites immersed in Coca-Cola, demonstrating Coca-Cola's ability to stain the composite to a small degree.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Serbia 1 2%
Unknown 40 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 10%
Student > Ph. D. Student 4 10%
Student > Bachelor 4 10%
Professor 3 7%
Student > Master 3 7%
Other 9 22%
Unknown 14 34%
Readers by discipline Count As %
Medicine and Dentistry 16 39%
Materials Science 2 5%
Nursing and Health Professions 1 2%
Agricultural and Biological Sciences 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 4 10%
Unknown 16 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 October 2015.
All research outputs
#13,755,002
of 22,829,683 outputs
Outputs from Scientific Reports
#63,469
of 123,256 outputs
Outputs of similar age
#136,549
of 278,742 outputs
Outputs of similar age from Scientific Reports
#1,235
of 2,389 outputs
Altmetric has tracked 22,829,683 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 123,256 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one is in the 47th percentile – i.e., 47% 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 278,742 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 50% of its contemporaries.
We're also able to compare this research output to 2,389 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.