Automated Author ProfileBecker, Tabea
RWTH Aachen University, Institute of Inorganic Chemistry, Landoltweg 1a, 5207 Aachen, Germany and Bioeconomy Science Center (BioSC), Forschungszentrum Jülich GmbH, 52425 Jülich, Germany0009-0007-5243-1952
Becker, Tabea
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: 3.2 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Further NMR and IR spectroscopic data, SEC data and TGA and DSC data for the ring opening polymerisation of 14C-lactide with a non toxic Zn catalyst were deposited.
Authors
- Adeleh, Sara ;
- Becker, Tabea ;
- Herres-Pawlis, Sonja ;
- Bol, Roland ;
- Drewes, Birte ;
- Pütz, Thomas
NMR spectroscopic data, GPC data, kinetic data and data for the determination of the activation energy, activation enthalpy and the activation entropy via an Eyring plot for the depolymerisation activity of polylactide, catalyst recycling, scale-up experiments and solvent-free alcoholysis of a non toxic Zn catalyst were deposited.
Authors
- Becker, Tabea ;
- Hermann, Alina ;
- Saritas, Nazik ;
- Hoffmann, Alexander ;
- Herres-Pawlis, Sonja