Automated Organization ProfileCIRAD-PERSYST-UPR AIDA, Sénégal
CIRAD-PERSYST-UPR AIDA, Sénégal
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets in this organization
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the organization's datasets
Total Mentions
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: 1.0 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
A generic model built in Netlogo to explore the features of insect pests and biocides that encourage the success of boosted SIT. The model represents individuals of a same insect species, characterized by variables such as sex (male/female), developmental stage (immature/mature), age, health status. More specific characteristics are attributed depending of their sex. The biocide used for the boosted SIT is defined by transmission routes and induced mortality. The effects of conventional SIT and boosted SIT are compared on the same population to see if the additional aspect of entomovectoring is more effective in the management of the insect species. See the ODD protocol in the associated publication for more details on variables and simulation design.
Authors
- Herbillon, Fanny ;
- Diouf, Esther ;
- Piou, Cyril ;
- Brevault, Thierry ;
- Fellous, Simon ;
- Haramboure, Marion