Automated Author ProfileHryhorii Chereda
Hryhorii Chereda
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: 2.8 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Additional file 2 Worksheet Subnetwork genes 8 samples provides identifiers and gene symbols of 167 subnetwork genes, in how many and in which samples they were selected. Worksheet Gene module enrichment presents results of Fisher test calculations comparing subnetwork gene sets to gene modules and DE gene sets. Each row contains data for a DE gene set or a gene module consisting of the total group size and column tripletts with p-value, adjusted p-value as well as the number of hits, respectively, observed in comparisons to the union of genes from 8 subnetworks, the set of genes occurring in the majority, the set of genes found in all of the subnetworks and each of the 8 samples. Highlighted are rows corresponding to green and turquoise gene modules, which were most often significantly associated with subnetwork gene sets (grey), adjusted p-values below 0.05 (red) and between 0.05 and 0.1 (yellow).
Authors
- Hryhorii Chereda ;
- Annalen Bleckmann ;
- Menck, Kerstin ;
- Perera-Bel, Júlia ;
- Stegmaier, Philip ;
- Auer, Florian ;
- Kramer, Frank ;
- Leha, Andreas ;
- Beißbarth, Tim
Additional file 2 Worksheet Subnetwork genes 8 samples provides identifiers and gene symbols of 167 subnetwork genes, in how many and in which samples they were selected. Worksheet Gene module enrichment presents results of Fisher test calculations comparing subnetwork gene sets to gene modules and DE gene sets. Each row contains data for a DE gene set or a gene module consisting of the total group size and column tripletts with p-value, adjusted p-value as well as the number of hits, respectively, observed in comparisons to the union of genes from 8 subnetworks, the set of genes occurring in the majority, the set of genes found in all of the subnetworks and each of the 8 samples. Highlighted are rows corresponding to green and turquoise gene modules, which were most often significantly associated with subnetwork gene sets (grey), adjusted p-values below 0.05 (red) and between 0.05 and 0.1 (yellow).
Authors
- Hryhorii Chereda ;
- Annalen Bleckmann ;
- Menck, Kerstin ;
- Perera-Bel, Júlia ;
- Stegmaier, Philip ;
- Auer, Florian ;
- Kramer, Frank ;
- Leha, Andreas ;
- Beißbarth, Tim