Automated Organization ProfileUniversité Côte d’Azur, CNRS, GREDEG; Observatoire des Scienceset Techniques, Hcéres; and ICRIOS, Bocconi University
Université Côte d’Azur, CNRS, GREDEG; Observatoire des Scienceset Techniques, Hcéres; and ICRIOS, Bocconi University
Current S-Index
1.7
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
1.7
Average Dataset Index per dataset
Total Datasets
1
Total datasets in this organization
Average FAIR Score
53.9%
Average FAIR Score per dataset
Total Citations
1
Total citations to the organization's datasets
Total Mentions
0
Total mentions of the organization'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: 1.7 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The data and programs replicate tables and figures from "Social connections and editorship in economics", by Miniaci and Pezzoni. Please see the ReadMe file for additional details.
Authors
- Miniaci, Raffaele ;
- Pezzoni, Michele
1 Citation0 Mentions54% FAIR1.7 Dataset Index
10.5683/sp3/mlqfe62022