Automated Author ProfileHäußler, Max
Universität Stuttgart0000-0001-7306-7503
Häußler, Max
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: 11.2 (sum of 19 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
:unav
Authors
- Häussler, Max
Kinetic parameter estimates for small laccase (SLAC) catalyzed oxidation of ABTS, investigated across the temperature range between 25 °C and 45°C. This dataset contains the following files: Unprocessed absorption data from the respective enzyme assays (.txt) Derived calibration data for the respective calibration measurements (.json) EnzymeML Documents (.omex) with Experimental conditions Measurement data Estimated parameters and applied models Analysis notebook (.ipynb) Python requirements.txt for all dependencies
Authors
- Häussler, Max
:unav
Authors
- Häussler, Max
:unav
Authors
- Häussler, Max
:unav
Authors
- Häussler, Max
:unav
Authors
- Häussler, Max
:unav
Authors
- Häussler, Max
:unav
Authors
- Häussler, Max
:unav
Authors
- Häussler, Max