Automated Author ProfileCoenen, Samuel
Coenen, Samuel
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: 4.4 (sum of 4 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
T-cell receptor sequencing (TCR-seq) was performed on enriched CD8+ T-cells. TCR clonotype annotation was performed using MiXCR v.3.0.13 with the default input parameters.Full origin and method description available in:Celluloepidemiology: a novel paradigm for quantifying infectious disease dynamics through T-cell modelling on a population level
Authors
- Ha, My ;
- Postovskaya, Anna ;
- Meysman, Pieter ;
- Van Ierssel, Sabrina ;
- De Reu, Hans ;
- Schippers, Jolien ;
- Peeters, Karin ;
- Vereecken, Joke ;
- Matteijssens, Maria ;
- Van Goethem, Sam ;
- Van Gassen, Sofie ;
- Saeys, Yvan ;
- Bartholomeus, Esther ;
- Vercauteren, Koen ;
- Goossens, Herman ;
- Beutels, Philippe ;
- Van Damme, Pierre ;
- Lion, Eva ;
- Vlieghe, Erika ;
- Laukens, Kris ;
- Coenen, Samuel ;
- Naesens, Reinout ;
- Arien, Kevin ;
- Ogunjimi, Benson
T-cell receptor sequencing (TCR-seq) was performed on enriched CD8+ T-cells. TCR clonotype annotation was performed using MiXCR v.3.0.13 with the default input parameters.Full origin and method description available in:Celluloepidemiology: a novel paradigm for quantifying infectious disease dynamics through T-cell modelling on a population level
Authors
- Ha, My ;
- Postovskaya, Anna ;
- Meysman, Pieter ;
- Van Ierssel, Sabrina ;
- De Reu, Hans ;
- Schippers, Jolien ;
- Peeters, Karin ;
- Vereecken, Joke ;
- Matteijssens, Maria ;
- Van Goethem, Sam ;
- Van Gassen, Sofie ;
- Saeys, Yvan ;
- Bartholomeus, Esther ;
- Vercauteren, Koen ;
- Goossens, Herman ;
- Beutels, Philippe ;
- Van Damme, Pierre ;
- Lion, Eva ;
- Vlieghe, Erika ;
- Laukens, Kris ;
- Coenen, Samuel ;
- Naesens, Reinout ;
- Arien, Kevin ;
- Ogunjimi, Benson
Convergence coding matrix. (XLSX 13 kb)
Authors
- Tonkin-Crine, Sarah ;
- Anthierens, Sibyl ;
- Kerenza Hood ;
- Yardley, Lucy ;
- Cals, Jochen ;
- Francis, Nick ;
- Coenen, Samuel ;
- Alike Van Der Velden ;
- Maciek Godycki-Cwirko ;
- Llor, Carl ;
- Butler, Chris ;
- Verheij, Theo ;
- Goossens, Herman ;
- Little, Paul
Convergence coding matrix. (XLSX 13 kb)
Authors
- Tonkin-Crine, Sarah ;
- Anthierens, Sibyl ;
- Kerenza Hood ;
- Yardley, Lucy ;
- Cals, Jochen ;
- Francis, Nick ;
- Coenen, Samuel ;
- Alike Van Der Velden ;
- Maciek Godycki-Cwirko ;
- Llor, Carl ;
- Butler, Chris ;
- Verheij, Theo ;
- Goossens, Herman ;
- Little, Paul