Automated Author ProfilePerlotti, Lorenzo
Perlotti, Lorenzo
Current S-Index
2.0
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
2.0
Average Dataset Index per dataset
Total Datasets
1
Total datasets for this author
Average FAIR Score
80.8%
Average FAIR Score per dataset
Total Citations
0
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: 2.0 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This file contains the supplementary materials of the paper "Potential Use of Superabsorbent Polymer on Drought-Stressed Processing Tomato (Solanum lycopersicum L.) in a Mediterranean Climate".
Authors
- Cerasola, Vito Aurelio ;
- Perlotti, Lorenzo ;
- Pennisi, Giuseppina ;
- Orsini, Francesco ;
- Gianquinto, Giorgio
0 Citations0 Mentions81% FAIR2.0 Dataset Index
10.6092/unibo/amsacta/8163January 2022