Automated Author ProfileStergiakouli, Evie
Stergiakouli, Evie
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: 11.2 (sum of 10 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Pathway-based dissection of additive genetic variance in SDQ-ADHD and SCDC scores according to 50 molecular signatures database hallmark gene set collections. (XLSX 20 kb)
Authors
- Stergiakouli, Evie ;
- Smith, George Davey ;
- Martin, Joanna ;
- Skuse, David ;
- Viechtbauer, Wolfgang ;
- Ring, Susan ;
- Ronald, Angelica ;
- Evans, David ;
- Fisher, Simon ;
- Thapar, Anita ;
- Pourcain, Beate St
Additional tables. Table S1: EWAS results for CpGs differentially methylated in the CPOvsCLO comparison with Bonferroni P value <0.05. Table S2: EWAS results for CpGs differentially methylated in association with age at sampling with an uncorrected P value <0.05. Table S3: Differentially methylated regions (DMRs). Table S4: Top 5 GO terms and KEGG pathways for CpGs in DMRs. Table S5: Genes that have previously been implicated in OFCs (in DisGeNET as of January 2017 and in a bioinformatics study by Funato et al., 2017). (XLSX 3061Â kb)
Authors
- Sharp, Gemma ;
- Ho, Karen ;
- Davies, Amy ;
- Stergiakouli, Evie ;
- Humphries, Kerry ;
- McArdle, Wendy ;
- Sandy, Jonathan ;
- Smith, George Davey ;
- Lewis, Sarah ;
- Relton, Caroline
Full EWAS results for CLOvsCLP in blood. (RDS 18.9 mb)
Authors
- Sharp, Gemma ;
- Ho, Karen ;
- Davies, Amy ;
- Stergiakouli, Evie ;
- Humphries, Kerry ;
- McArdle, Wendy ;
- Sandy, Jonathan ;
- Smith, George Davey ;
- Lewis, Sarah ;
- Relton, Caroline
Full EWAS results for CPOvsCLP in blood. (RDS 18.9 mb)
Authors
- Sharp, Gemma ;
- Ho, Karen ;
- Davies, Amy ;
- Stergiakouli, Evie ;
- Humphries, Kerry ;
- McArdle, Wendy ;
- Sandy, Jonathan ;
- Smith, George Davey ;
- Lewis, Sarah ;
- Relton, Caroline
Full EWAS results for CPOvsCLO in blood. (RDS 18.9 mb)
Authors
- Sharp, Gemma ;
- Ho, Karen ;
- Davies, Amy ;
- Stergiakouli, Evie ;
- Humphries, Kerry ;
- McArdle, Wendy ;
- Sandy, Jonathan ;
- Smith, George Davey ;
- Lewis, Sarah ;
- Relton, Caroline
Full EWAS results for CPOvsCLO in blood. (RDS 18.9 mb)
Authors
- Sharp, Gemma ;
- Ho, Karen ;
- Davies, Amy ;
- Stergiakouli, Evie ;
- Humphries, Kerry ;
- McArdle, Wendy ;
- Sandy, Jonathan ;
- Smith, George Davey ;
- Lewis, Sarah ;
- Relton, Caroline
Full EWAS results for CPOvsCLP in blood. (RDS 18.9 mb)
Authors
- Sharp, Gemma ;
- Ho, Karen ;
- Davies, Amy ;
- Stergiakouli, Evie ;
- Humphries, Kerry ;
- McArdle, Wendy ;
- Sandy, Jonathan ;
- Smith, George Davey ;
- Lewis, Sarah ;
- Relton, Caroline
Full EWAS results for CLOvsCLP in blood. (RDS 18.9 mb)
Authors
- Sharp, Gemma ;
- Ho, Karen ;
- Davies, Amy ;
- Stergiakouli, Evie ;
- Humphries, Kerry ;
- McArdle, Wendy ;
- Sandy, Jonathan ;
- Smith, George Davey ;
- Lewis, Sarah ;
- Relton, Caroline
Additional tables. Table S1: EWAS results for CpGs differentially methylated in the CPOvsCLO comparison with Bonferroni P value <0.05. Table S2: EWAS results for CpGs differentially methylated in association with age at sampling with an uncorrected P value <0.05. Table S3: Differentially methylated regions (DMRs). Table S4: Top 5 GO terms and KEGG pathways for CpGs in DMRs. Table S5: Genes that have previously been implicated in OFCs (in DisGeNET as of January 2017 and in a bioinformatics study by Funato et al., 2017). (XLSX 3061Â kb)
Authors
- Sharp, Gemma ;
- Ho, Karen ;
- Davies, Amy ;
- Stergiakouli, Evie ;
- Humphries, Kerry ;
- McArdle, Wendy ;
- Sandy, Jonathan ;
- Smith, George Davey ;
- Lewis, Sarah ;
- Relton, Caroline
Pathway-based dissection of additive genetic variance in SDQ-ADHD and SCDC scores according to 50 molecular signatures database hallmark gene set collections. (XLSX 20 kb)
Authors
- Stergiakouli, Evie ;
- Smith, George Davey ;
- Martin, Joanna ;
- Skuse, David ;
- Viechtbauer, Wolfgang ;
- Ring, Susan ;
- Ronald, Angelica ;
- Evans, David ;
- Fisher, Simon ;
- Thapar, Anita ;
- Pourcain, Beate St