Automated Organization Profile5) Pathology at Josefshaus, D-44137 Dortmund, Germany
5) Pathology at Josefshaus, D-44137 Dortmund, Germany
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets in this organization
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the organization's datasets
Total Mentions
Total mentions of the organization'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: 2.8 (sum of 4 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
ometiff: Imaging Data Cell Masks: Masks generated with cellprofiler from ilastik segmentation training cp-output_config: All relevant cellprofiler output and additional configuration files (for example clinical data) necessary to generate the single cell experiments. IMC Data Objects: Single cell experiment RDS files.
Authors
- Cords, Lena ;
- Tietscher, Sandra ;
- Anzeneder, Tobias ;
- Langwieder, Claus ;
- Rees, Martin ;
- De Souza, Natalie ;
- Bodenmiller, Bernd
ometiff: Imaging Data Cell Masks: Masks generated with cellprofiler from ilastik segmentation training cp-output_config: All relevant cellprofiler output and additional configuration files (for example clinical data) necessary to generate the single cell experiments. IMC Data Objects: Single cell experiment RDS files. scRNA-seq_dataobjects: .Rds files containing the clustered breast cancer, colon cancer, HNSCC, NSCLC and PDAC datasets as well as the integrated validation dataset.
Authors
- Cords, Lena ;
- Tietscher, Sandra ;
- Anzeneder, Tobias ;
- Langwieder, Claus ;
- Rees, Martin ;
- De Souza, Natalie ;
- Bodenmiller, Bernd
ometiff: Imaging Data Cell Masks: Masks generated with cellprofiler from ilastik segmentation training cp-output_config: All relevant cellprofiler output and additional configuration files (for example clinical data) necessary to generate the single cell experiments. IMC Data Objects: Single cell experiment RDS files.
Authors
- Cords, Lena ;
- Tietscher, Sandra ;
- Anzeneder, Tobias ;
- Langwieder, Claus ;
- Rees, Martin ;
- De Souza, Natalie ;
- Bodenmiller, Bernd
ometiff: Imaging Data Cell Masks: Masks generated with cellprofiler from ilastik segmentation training cp-output_config: All relevant cellprofiler output and additional configuration files (for example clinical data) necessary to generate the single cell experiments. IMC Data Objects: Single cell experiment RDS files. scRNA-seq_dataobjects: .Rds files containing the clustered breast cancer, colon cancer, HNSCC, NSCLC and PDAC datasets as well as the integrated validation dataset.
Authors
- Cords, Lena ;
- Tietscher, Sandra ;
- Anzeneder, Tobias ;
- Langwieder, Claus ;
- Rees, Martin ;
- De Souza, Natalie ;
- Bodenmiller, Bernd