Automated Author ProfileFarooqi, I.S.
Farooqi, I.S.
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: 0.6 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Heterogeneity of interindividual and intraindividual responses to interventions is often observed in randomized, controlled trials for obesity. To address the global epidemic of obesity and move toward more personalized treatment regimens, the global research community must come together to identify factors that may drive these heterogeneous responses to interventions. This project, called OBEDIS (OBEsity Diverse Interventions Sharing – focusing on dietary and other interventions), provides a set of European guidelines for a minimal set of variables to include in future clinical trials on obesity, regardless of the specific endpoints. Broad adoption of these guidelines will enable researchers to harmonize and merge data from multiple intervention studies, allowing stratification of patients according to precise phenotyping criteria which are measured using standardized methods. In this way, studies across Europe may be pooled for better prediction of individuals’ responses to an intervention for obesity – ultimately leading to better patient care and improved obesity outcomes.
Authors
- Alligier, M. ;
- Barrès, R. ;
- Blaak, E.E. ;
- Boirie, Y. ;
- Bouwman, J. ;
- Brunault, P. ;
- Campbell, K. ;
- Clément, K. ;
- Farooqi, I.S. ;
- Farpour-Lambert, N.J. ;
- Frühbeck, G. ;
- Goossens, G.H. ;
- Hager, J. ;
- Halford J.C.G. ;
- Hauner, H. ;
- Jacobi, D. ;
- Julia, C. ;
- Langin, D. ;
- Natali, A. ;
- Neovius, M. ;
- Oppert, J.M. ;
- Pagotto, U. ;
- Palmeira, A.L. ;
- Roche, H. ;
- Rydén, M. ;
- Scheen, A.J. ;
- Simon, C. ;
- Sorensen T.I.A. ;
- Tappy, L. ;
- Yki-Järvinen, H. ;
- Ziegler, O. ;
- Laville, M.
Heterogeneity of interindividual and intraindividual responses to interventions is often observed in randomized, controlled trials for obesity. To address the global epidemic of obesity and move toward more personalized treatment regimens, the global research community must come together to identify factors that may drive these heterogeneous responses to interventions. This project, called OBEDIS (OBEsity Diverse Interventions Sharing – focusing on dietary and other interventions), provides a set of European guidelines for a minimal set of variables to include in future clinical trials on obesity, regardless of the specific endpoints. Broad adoption of these guidelines will enable researchers to harmonize and merge data from multiple intervention studies, allowing stratification of patients according to precise phenotyping criteria which are measured using standardized methods. In this way, studies across Europe may be pooled for better prediction of individuals’ responses to an intervention for obesity – ultimately leading to better patient care and improved obesity outcomes.
Authors
- Alligier, M. ;
- Barrès, R. ;
- Blaak, E.E. ;
- Boirie, Y. ;
- Bouwman, J. ;
- Brunault, P. ;
- Campbell, K. ;
- Clément, K. ;
- Farooqi, I.S. ;
- Farpour-Lambert, N.J. ;
- Frühbeck, G. ;
- Goossens, G.H. ;
- Hager, J. ;
- Halford J.C.G. ;
- Hauner, H. ;
- Jacobi, D. ;
- Julia, C. ;
- Langin, D. ;
- Natali, A. ;
- Neovius, M. ;
- Oppert, J.M. ;
- Pagotto, U. ;
- Palmeira, A.L. ;
- Roche, H. ;
- Rydén, M. ;
- Scheen, A.J. ;
- Simon, C. ;
- Sorensen T.I.A. ;
- Tappy, L. ;
- Yki-Järvinen, H. ;
- Ziegler, O. ;
- Laville, M.