Automated Author ProfileFranconi, F.
Franconi, F.
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: 2.0 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The aim of this study was to evaluate whether the number of women recruited for studies to establish the efficacy of medications approved for treatment of alcohol dependence (AD) and of alcohol withdrawal syndrome (AWS) is sufficient to reveal possible gender differences in the response to these medications and in suggesting the use of different doses in female patients. Our results show that the rates of women recruited for studies evaluating the efficacy of disulfiram (1%), benzodiazepines (3%), and anticonvulsants (13%) were too low to establish possible gender differences. The rates of women recruited for studies evaluating the efficacy of acamprosate (22%), naltrexone (23%), and nalmefene (30%) were higher and allowed evaluation of data obtained for female patients. Women receive medications for treatment of AD and/or AWS for which efficacy has been demonstrated in studies in which men were more largely represented.
Authors
- Agabio, R. ;
- Pani, P.P. ;
- Preti, A. ;
- Gessa, G.L. ;
- Franconi, F.
The aim of this study was to evaluate whether the number of women recruited for studies to establish the efficacy of medications approved for treatment of alcohol dependence (AD) and of alcohol withdrawal syndrome (AWS) is sufficient to reveal possible gender differences in the response to these medications and in suggesting the use of different doses in female patients. Our results show that the rates of women recruited for studies evaluating the efficacy of disulfiram (1%), benzodiazepines (3%), and anticonvulsants (13%) were too low to establish possible gender differences. The rates of women recruited for studies evaluating the efficacy of acamprosate (22%), naltrexone (23%), and nalmefene (30%) were higher and allowed evaluation of data obtained for female patients. Women receive medications for treatment of AD and/or AWS for which efficacy has been demonstrated in studies in which men were more largely represented.
Authors
- Agabio, R. ;
- Pani, P.P. ;
- Preti, A. ;
- Gessa, G.L. ;
- Franconi, F.
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
Authors
- Zoroddu, M.A. ;
- Grepioni, F. ;
- Franconi, F.