Automated Author ProfileRavagni, Sara
Consejo Superior de Investigaciones Científicas0000-0003-0320-3447
Ravagni, Sara
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: 0.4 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
In this study, we focused on common quails (Coturnix coturnix) from the Azores archipelago and used morphological, stable isotope, genetic and genomic data to characterise this lineage and to assess the divergence from neighbouring common quail populations. We detected the presence of a large chromosomal inversion that had been already described in other populations and we studied its role in this remote archipelago. The genotyping-by-sequencing data generated in this project were analysed together with those from Sanchez-Donoso et al. 2022 (https://doi.org/10.1016/j.cub.2021.11.019).
Authors
- Ravagni, Sara