Automated Author ProfileCarsten Sticht
Medical Research Center, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
Carsten Sticht
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: 1.3 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The dataset contains bulk RNA-seq read count matrices of NK cells from healthy donors after 48 h of co-culture with hepatitis D virus infected and non-infected HepG2-hNTCP cells. The samples are described in the table RNA-seq_samples.xls that is included with the count matrices. Further details are given in the publication associated with this dataset (Groth et al., Front Immunol, 2023, https://doi.org/10.3389/fimmu.2023.1287367).
Authors
- Christopher Groth ;
- Jovana Maric ;
- Irene Garcés Lázaro ;
- Tomáš Hofman ;
- Zhenfeng Zhang ;
- Yi Ni ;
- Franziska Keller ;
- Isabelle Seufert ;
- Maike Hofmann ;
- Christoph Neumann-Haefelin ;
- Carsten Sticht ;
- Karsten Rippe ;
- Stephan Urban ;
- Adelheid Cerwenka
The dataset contains bulk RNA-seq read count matrices of NK cells from healthy donors after 48 h of co-culture with hepatitis D virus infected and non-infected HepG2-hNTCP cells. The samples are described in the table RNA-seq_samples.xls that is included with the count matrices. Further details are given in the publication associated with this dataset (Groth et al., Front Immunol, 2023, https://doi.org/10.3389/fimmu.2023.1287367).
Authors
- Christopher Groth ;
- Jovana Maric ;
- Irene Garcés Lázaro ;
- Tomáš Hofman ;
- Zhenfeng Zhang ;
- Yi Ni ;
- Franziska Keller ;
- Isabelle Seufert ;
- Maike Hofmann ;
- Christoph Neumann-Haefelin ;
- Carsten Sticht ;
- Karsten Rippe ;
- Stephan Urban ;
- Adelheid Cerwenka