Automated Organization ProfileUFZ Leipzig
UFZ Leipzig
Current S-Index
3.5
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
1.2
Average Dataset Index per dataset
Total Datasets
3
Total datasets in this organization
Average FAIR Score
50.0%
Average FAIR Score per dataset
Total Citations
0
Total citations to the organization's datasets
Total Mentions
0
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: 3.5 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
2x Python codes, 1x EMI data set
Authors
- Altdorff, Daniel ;
- Schrön, Martin
0 Citations0 Mentions15% FAIR0.2 Dataset Index
10.7910/dvn/9gdpnaJanuary 2024
Test data for a Galaxy tutorial of MITOS
Authors
- Bernt. Matthias
0 Citations0 Mentions69% FAIR1.7 Dataset Index
10.5281/zenodo.4274626November 2020