Automated Author ProfileGodfrey, Megan
Cardiff University
Godfrey, Megan
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: 0.7 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Data are provided in two Matlab cell arrays. 'AECmatrices' contains AEC connectivity matrices for 10 frequency bands and 'MRVEmatrices' contains MRVE correlation matrices for 25 scale frequencies. For each frequency band and scale frequency, a 183x90x90 matrix is provided. This corresponds to one 90x90 connectivity matrix per participant (n=183). Each connectivity matrix contains the Z scores indicating the connectivity between the 90 regions of the AAL atlas, obtained by correlation of amplitude envelopes (AEC) or multiscale rank-vector entropy timecourses (MRVE correlation). The diagonal elements are set to NaN as these elements would correspond to the connectivity between each region and itself.
Authors
- Godfrey, Megan ;
- Singh, Krish D