Automated Author ProfileFelicori, Liza
Felicori, Liza
Current S-Index
2.4
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
1.2
Average Dataset Index per dataset
Total Datasets
2
Total datasets for this author
Average FAIR Score
80.8%
Average FAIR Score per dataset
Total Citations
2
Total citations to the author's datasets
Total Mentions
0
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: 2.4 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Table S1. Comparison of 75 known epitopes with PEPOP predictions. (XLSX 12 kb)
Authors
- Demolombe, Vincent ;
- Brevern, Alexandre ;
- Felicori, Liza ;
- NGuyen, Christophe ;
- Avila, Ricardo Machado De ;
- Valera, Lionel ;
- Jardin-Watelet, Bénédicte ;
- Lavigne, Géraldine ;
- Lebreton, Aurélien ;
- Molina, Franck ;
- Moreau, Violaine
1 Citation0 Mentions81% FAIR1.2 Dataset Index
10.6084/m9.figshare.8863334January 2019
Table S1. Comparison of 75 known epitopes with PEPOP predictions. (XLSX 12 kb)
Authors
- Demolombe, Vincent ;
- Brevern, Alexandre ;
- Felicori, Liza ;
- NGuyen, Christophe ;
- Avila, Ricardo Machado De ;
- Valera, Lionel ;
- Jardin-Watelet, Bénédicte ;
- Lavigne, Géraldine ;
- Lebreton, Aurélien ;
- Molina, Franck ;
- Moreau, Violaine
1 Citation0 Mentions81% FAIR1.2 Dataset Index
10.6084/m9.figshare.8863334.v1January 2019