Automated Author ProfileRoberts, Amelie
Imperial College London
Roberts, Amelie
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 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Supplemental Data files, showing full datasets and/or calculations Table S1. APXS compositional data, z-score analysis and % change (Δ), for targets from sol 3078 to sol 4028. Table S2 lists targets included in the calculation of mean Mount Sharp group, using modified z-score analysis (Text S3) to identify outliers. Table S3 shows details for variance calculation and assessment of statistical significance. Table S4 shows the iterative modelling used for Section 4.2.
Authors
- O'Connell-Cooper, Catherine ;
- Thompson, Lucy ;
- Spray, John ;
- Berger, Jeff ;
- Gellert, Ralf ;
- Caravaca, Gweneal ;
- VanBommel, Scott ;
- Boyd, Nicholas ;
- McCraig, Michael ;
- Fey, Deirdre ;
- Bryk, Alexander ;
- Dietrich, William ;
- Gupta, Sanjeev ;
- Roberts, Amelie ;
- Yen, Albert