Automated Author ProfileDetre, Simone
Detre, Simone
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: 1.7 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Demographics for study I and study II. Table S2. Correlation of paired expression levels in 13 genes reported in breast cancer (complementing Table 1). Table S3. A) Canonical pathways and B) top networks identified in study I. Table S4. Genes correlated with time elapsed in study I. Table S5. Top pathways identified from 116 genes correlated with time elapsed. Table S6. Top networks identified from 116 genes correlated with time elapsed. Table S7. Intrinsic subtype concordance between pairs. Table S8. Top pathways identified in study II. Table S9. Top networks identified in study II. Table S10. Top 20 genes identified in study I and their p value in study II. (XLSX 50 kb)
Authors
- LĂłpez-Knowles, Elena ;
- Gao, Qiong ;
- Cheang, Maggie ;
- Morden, James ;
- Parker, Joel ;
- Lesley-Ann Martin ;
- Pinhel, Isabel ;
- McNeill, Fiona ;
- Hills, Margaret ;
- Detre, Simone ;
- Afentakis, Maria ;
- Zabaglo, Lila ;
- Dodson, Andrew ;
- Skene, Anthony ;
- Holcombe, Chris ;
- Robertson, John ;
- Smith, Ian ;
- Bliss, Judith ;
- Dowsett, Mitch
Demographics for study I and study II. Table S2. Correlation of paired expression levels in 13 genes reported in breast cancer (complementing Table 1). Table S3. A) Canonical pathways and B) top networks identified in study I. Table S4. Genes correlated with time elapsed in study I. Table S5. Top pathways identified from 116 genes correlated with time elapsed. Table S6. Top networks identified from 116 genes correlated with time elapsed. Table S7. Intrinsic subtype concordance between pairs. Table S8. Top pathways identified in study II. Table S9. Top networks identified in study II. Table S10. Top 20 genes identified in study I and their p value in study II. (XLSX 50 kb)
Authors
- LĂłpez-Knowles, Elena ;
- Gao, Qiong ;
- Cheang, Maggie ;
- Morden, James ;
- Parker, Joel ;
- Lesley-Ann Martin ;
- Pinhel, Isabel ;
- McNeill, Fiona ;
- Hills, Margaret ;
- Detre, Simone ;
- Afentakis, Maria ;
- Zabaglo, Lila ;
- Dodson, Andrew ;
- Skene, Anthony ;
- Holcombe, Chris ;
- Robertson, John ;
- Smith, Ian ;
- Bliss, Judith ;
- Dowsett, Mitch