Automated Author ProfileShen, Chun
Shen, Chun
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 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Genome-wide association studies (GWASs) on plasma protein abundance, using protein level for individual proteins and module eigengene for protein networks, were conducted in Caucasian participants with QC-ed genotyping data from the UK Biobank. To avoid bias due to participant overlap, separate GWASs for social isolation (N = 297,396) and loneliness (N = 288,696) were performed using a distinct set of Caucasian participants, excluding those involved in the protein-related GWASs. Age, sex, and the first 20 genetic PCs were adjusted for in all GWASs, while protein technical factors were additionally accounted for in GWASs of proteins and protein modules.
Authors
- Shen, Chun
Genome-wide association studies (GWASs) on plasma protein abundance, using protein level for individual proteins and module eigengene for protein networks, were conducted in Caucasian participants with QC-ed genotyping data from the UK Biobank. To avoid bias due to participant overlap, separate GWASs for social isolation (N = 297,396) and loneliness (N = 288,696) were performed using a distinct set of Caucasian participants, excluding those involved in the protein-related GWASs. Age, sex, and the first 20 genetic PCs were adjusted for in all GWASs, while protein technical factors were additionally accounted for in GWASs of proteins and protein modules.
Authors
- Shen, Chun
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
Authors
- Shen, Chun