Automated Author ProfileBergner, Thilo
Heidelberg University Hospital
Bergner, Thilo
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: 0.4 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This dataset contains all data and R code necessary to follow the tutorial "Sensitivity analysis in psychological and medical research: A tutorial using multiple imputation in a longitudinal case study".People interested in learning sensitivity analysis with multiple imputation are free to download the data and R code and follow along.
Authors
- Dönnhoff, Ivo ;
- Bergner, Thilo ;
- Riedel, Caroline ;
- Friederich, Hans-Christoph ;
- Bugaj, Till J.