Automated Author ProfileGallagher, Emily
0009-0009-6467-4278
Gallagher, Emily
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 2.8 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
No description available
Authors
- Maldonado Lopez, Alexandra ;
- Gallagher, Emily ;
- Curry, Aiden ;
- Sahloff, Kylie ;
- da Silva Souza, Ivan
The study addresses a significant gap in sunscreen development. No official method exists to quantify white cast, and consumer compliance with sunscreen application depends largely on its cosmetic elegance. Therefore, designing mineral sunscreens for diverse skin tones that are cosmetically elegant is a challenge. The published study presents a validated white cast scoring protocol that combines objective L* value measurements with subjective consumer feedback to provide a quantitative approach for evaluating the cosmetic elegance of mineral sunscreens across diverse skin tones. The available data are the results of our in vitro and in vivo protocols, which are presented as L* values to measure whiteness and subjective data from the volunteers' demographics and their thoughts on white cast from mineral sunscreens. Using these results, we developed a scoring system that offers an innovative and standardized quantitative tool for evaluating and refining mineral sunscreen formulations. This is critical for cosmetic scientists and formulators who aim to contribute to the development of more cosmetically elegant sunscreens suitable for a wide range of skin tones.
Authors
- Maldonado Lopez, Alexandra ;
- Gallagher, Emily ;
- Curry, Aiden ;
- Sahloff, Kylie ;
- da Silva Souza, Ivan
The study addresses a significant gap in sunscreen development. No official method exists to quantify white cast, and consumer compliance with sunscreen application depends largely on its cosmetic elegance. Therefore, designing mineral sunscreens for diverse skin tones that are cosmetically elegant is a challenge. The published study presents a validated white cast scoring protocol that combines objective L* value measurements with subjective consumer feedback to provide a quantitative approach for evaluating the cosmetic elegance of mineral sunscreens across diverse skin tones. The available data are the results of our in vitro and in vivo protocols, which are presented as L* values to measure whiteness and subjective data from the volunteers' demographics and their thoughts on white cast from mineral sunscreens. Using these results, we developed a scoring system that offers an innovative and standardized quantitative tool for evaluating and refining mineral sunscreen formulations. This is critical for cosmetic scientists and formulators who aim to contribute to the development of more cosmetically elegant sunscreens suitable for a wide range of skin tones.
Authors
- Maldonado Lopez, Alexandra ;
- Gallagher, Emily ;
- Curry, Aiden ;
- Sahloff, Kylie ;
- da Silva Souza, Ivan