Automated Author ProfileGordon, Scott D
Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
Gordon, Scott D
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: 0.0 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This repository contains Genome-wide association study (GWAS) summary statistics for nevus count integrating 11 GWASs used in a previously published nevus meta-analysis (Duffy et al. 2020) and 3 new GWASs (QSkin phase I using sample size weighted method in METAL, QSkin phase II and AGDSSex-stratified GWAS meta-analysis integrating QSkin phase I, QSkin phase II and AGDS using inverse variance weighted method in METALPRS weights generated from nevus GWAS meta-analysis excluding QSkin phase II using SBayesRC method
Authors
- Jayasinghe, G J M Shanika R ;
- Zhu, Gu ;
- Pandeya, Nirmala ;
- Olsen, Catherine M ;
- Martin, Nicholas G ;
- Lind, Penelope A ;
- Medland, Sarah E ;
- Gordon, Scott D ;
- Diaz-Torres, Santiago ;
- Lingham, Gareth ;
- Lee, Samantha S Y ;
- Nijsten, Tamar ;
- Kayser, Manfred ;
- Pardo, Luba M ;
- Montgomery, Grant W ;
- Hayward, Nicholas K ;
- Palmer, Jane M ;
- Hunter, David J ;
- Han, Jiali ;
- Hewitt, Alex W ;
- Falchi, Mario ;
- Bishop, D Timothy ;
- Brown, Kevin M ;
- Bataille, Veronique ;
- Mackey, David A ;
- Iles, Mark M ;
- Whiteman, David C ;
- Duffy, David L ;
- MacGregor, Stuart ;
- Law, Matthew H
This repository contains Genome-wide association study (GWAS) summary statistics for nevus count integrating 11 GWASs used in a previously published nevus meta-analysis (Duffy et al. 2020) and 3 new GWASs (QSkin phase I using sample size weighted method in METAL, QSkin phase II and AGDSSex-stratified GWAS meta-analysis integrating QSkin phase I, QSkin phase II and AGDS using inverse variance weighted method in METALPRS weights generated from nevus GWAS meta-analysis excluding QSkin phase II using SBayesRC method
Authors
- Jayasinghe, G J M Shanika R ;
- Zhu, Gu ;
- Pandeya, Nirmala ;
- Olsen, Catherine M ;
- Martin, Nicholas G ;
- Lind, Penelope A ;
- Medland, Sarah E ;
- Gordon, Scott D ;
- Diaz-Torres, Santiago ;
- Lingham, Gareth ;
- Lee, Samantha S Y ;
- Nijsten, Tamar ;
- Kayser, Manfred ;
- Pardo, Luba M ;
- Montgomery, Grant W ;
- Hayward, Nicholas K ;
- Palmer, Jane M ;
- Hunter, David J ;
- Han, Jiali ;
- Hewitt, Alex W ;
- Falchi, Mario ;
- Bishop, D Timothy ;
- Brown, Kevin M ;
- Bataille, Veronique ;
- Mackey, David A ;
- Iles, Mark M ;
- Whiteman, David C ;
- Duffy, David L ;
- MacGregor, Stuart ;
- Law, Matthew H