Automated Author ProfileMondher Toumi
Mondher Toumi
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: 7.1 (sum of 6 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Input parameters for the deterministic sensitivity analyses. The table contains the low and high values for every parameter which was tested in the deterministic sensitivity analyses as well as the sources for these values. (XLSX 15 kb)
Authors
- Jamotte, Aurélien ;
- Chong, Chui ;
- Manton, Andrew ;
- Macabeo, Bérengère ;
- Mondher Toumi
Input parameters for the deterministic sensitivity analyses. The table contains the low and high values for every parameter which was tested in the deterministic sensitivity analyses as well as the sources for these values. (XLSX 15 kb)
Authors
- Jamotte, Aurélien ;
- Chong, Chui ;
- Manton, Andrew ;
- Macabeo, Bérengère ;
- Mondher Toumi
Probabilisitic sensitivity analysis (alcohol consumption simulation coefficients) - Confidence intervals of number of events per 100,000 patient-years by HDD category. Table S2b. Probabilisitic sensitivity analysis (alcohol consumption simulation coefficients) - Confidence intervals of number of events per 100,000 patient-years by TAC category. (ZIP 30 kb)
Authors
- Rahhali, Nora ;
- Millier, Aurélie ;
- Briquet, Benjamin ;
- Laramée, Philippe ;
- Aballéa, Samuel ;
- Mondher Toumi ;
- François, Clément ;
- Rehm, Jürgen ;
- Jean-Bernard Daeppen
Deterministic sensitivity analysis (risk parameters) - Confidence intervals of number of events per 100,000 patient-years by HDD category. Table S1b. Deterministic sensitivity analysis (risk parameters) - Confidence intervals of number of events per 100,000 patient-years by TAC category. (ZIP 30 kb)
Authors
- Rahhali, Nora ;
- Millier, Aurélie ;
- Briquet, Benjamin ;
- Laramée, Philippe ;
- Aballéa, Samuel ;
- Mondher Toumi ;
- François, Clément ;
- Rehm, Jürgen ;
- Jean-Bernard Daeppen
Deterministic sensitivity analysis (risk parameters) - Confidence intervals of number of events per 100,000 patient-years by HDD category. Table S1b. Deterministic sensitivity analysis (risk parameters) - Confidence intervals of number of events per 100,000 patient-years by TAC category. (ZIP 30 kb)
Authors
- Rahhali, Nora ;
- Millier, Aurélie ;
- Briquet, Benjamin ;
- Laramée, Philippe ;
- Aballéa, Samuel ;
- Mondher Toumi ;
- François, Clément ;
- Rehm, Jürgen ;
- Jean-Bernard Daeppen
Probabilisitic sensitivity analysis (alcohol consumption simulation coefficients) - Confidence intervals of number of events per 100,000 patient-years by HDD category. Table S2b. Probabilisitic sensitivity analysis (alcohol consumption simulation coefficients) - Confidence intervals of number of events per 100,000 patient-years by TAC category. (ZIP 30 kb)
Authors
- Rahhali, Nora ;
- Millier, Aurélie ;
- Briquet, Benjamin ;
- Laramée, Philippe ;
- Aballéa, Samuel ;
- Mondher Toumi ;
- François, Clément ;
- Rehm, Jürgen ;
- Jean-Bernard Daeppen