Automated Author ProfileKaramanos, TheodorosK.
Karamanos, TheodorosK.
Current S-Index
0.5
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
0.2
Average Dataset Index per dataset
Total Datasets
2
Total datasets for this author
Average FAIR Score
84.6%
Average FAIR Score per dataset
Total Citations
0
Total citations to the author's datasets
Total Mentions
0
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: 0.5 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
- 15N_relaxation: This folder contains the relaxation and chemical shift data (as defined in the filenames) used in the fits to the 4 state model for WT and T142A in the corresponding folders. The R2_R1.txt file contains the values of R2 and R1 for the main state A. The fit4state.py file fits the data to the 4 state model (requires the numpy and lmift modules) (currently set up for WT fit) states.py contains the chemical shift, relaxation and exchange matrices for various models
2. csp_fits Contains the chemical shift titration data for WT (Figure S11). The concentration of total CTD added is noted in the filename and each file has the format atom1;atom2 chemShift_atom1(Hz) chemShift_atom2(Hz)
3. methyl_relaxation 1H and 13C methyl CPMG data. The data are separated in two datasets, termed 'B1' and 'Cterm' for residues in proximity to ST16, ST17 and those in the C-terminus respectively. 1H and 13C exchange induced chemical shifts are provided in the X_ExchShifts_*.txt files The CPMG 3kHz folder contains the 1H, 13C r2eff values at 3kHz cpmg field used to derive r relationships between R2a at 600 MHz and 800 MHz fitCPMG_CS_2state.py performs fits to a 2-state model (requires the numpy and lmift modules) and states.py contains the chemical shift, relaxation and exchange matrices
Authors
- Karamanos, TheodorosK. ;
- Tugarinov, Vitali ;
- Clore, G Marius
0 Citations0 Mentions85% FAIR0.1 Dataset Index
10.6084/m9.figshare.130126822021
- 15N_relaxation: This folder contains the relaxation and chemical shift data (as defined in the filenames) used in the fits to the 4 state model for WT and T142A in the corresponding folders. The R2_R1.txt file contains the values of R2 and R1 for the main state A. The fit4state.py file fits the data to the 4 state model (requires the numpy and lmift modules) (currently set up for WT fit) states.py contains the chemical shift, relaxation and exchange matrices for various models
2. csp_fits Contains the chemical shift titration data for WT (Figure S11). The concentration of total CTD added is noted in the filename and each file has the format atom1;atom2 chemShift_atom1(Hz) chemShift_atom2(Hz)
3. methyl_relaxation 1H and 13C methyl CPMG data. The data are separated in two datasets, termed 'B1' and 'Cterm' for residues in proximity to ST16, ST17 and those in the C-terminus respectively. 1H and 13C exchange induced chemical shifts are provided in the X_ExchShifts_*.txt files The CPMG 3kHz folder contains the 1H, 13C r2eff values at 3kHz cpmg field used to derive r relationships between R2a at 600 MHz and 800 MHz fitCPMG_CS_2state.py performs fits to a 2-state model (requires the numpy and lmift modules) and states.py contains the chemical shift, relaxation and exchange matrices
Authors
- Karamanos, TheodorosK. ;
- Tugarinov, Vitali ;
- Clore, G Marius
0 Citations0 Mentions85% FAIR0.3 Dataset Index
10.6084/m9.figshare.13012682.v12021