Automated Author ProfileSuttorp, Norbert
Suttorp, Norbert
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: 5.1 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Single-cell RNA-Seq of airway samples of COVID-19 patients and healthy controls
This dataset comprises single-cell RNA-Seq data of nasopharyngeal, protected specimen brush, and bronchial lavage samples of 19 COVID-19 patients (eight moderate and eleven critical according to the WHO classification) and five healthy controls, for a total of 36 samples.
An in-depth description is presented in the manuscript "Cross-talk between the airway epithelium and activated immune cells defines severity in COVID-19" (https://www.medrxiv.org/content/10.1101/2020.04.29.20084327v1).
The data is uploaded as two .rds files of Seurat objects that can be imported into R. The _main file contains all samples from the nasopharynx, while the _loc file contains data from nasopharyngeal, protected specimen brush, and bronchial lavage samples of two patients.
A quantification of viral RNA reads (as CPM, in total over cells and background) is provided as .xlsx file. Please note that these values may differ from viral load estimates obtained from diagnostic procedures and may be less accurate.Raw count values (cellranger output) are provided in the file count_matrices_NBT.tar.
Authors
- Chua, Robert Lorenz ;
- Lukassen, Soeren ;
- Trump, Saskia ;
- Hennig, Bianca P. ;
- Wendisch, Daniel ;
- Pott, Fabian ;
- Debnath, Olivia ;
- Thürmann, Loreen ;
- Kurth, Florian ;
- Völker, Maria Theresa ;
- Kazmierski, Julia ;
- Timmermann, Bernd ;
- Twardziok, Sven ;
- Schneider, Stefan ;
- Machleidt, Felix ;
- Müller-Redetzky, Holger ;
- Maier, Melanie ;
- Krannich, Alexander ;
- Schmidt, Sein ;
- Balzer, Felix ;
- Liebig, Johannes ;
- Loske, Jennifer ;
- Suttorp, Norbert ;
- Eils, Jürgen ;
- Ishaque, Naveed ;
- Gerd Liebert, Uwe ;
- von Kalle, Christof ;
- Hocke, Andreas ;
- Witzenrath, Martin ;
- Goffinet, Christine ;
- Drosten, Christian ;
- Laudi, Sven ;
- Lehmann, Irina ;
- Conrad, Christian ;
- Sander, Leif-Erik ;
- Eils, Roland