Automated Author ProfileVøllestad, Leif
University of Oslo
Vøllestad, Leif
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: 2.0 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Reproductive success and its determinants are difficult to infer for wild populations of species with no parental care where behavioral observations are difficult or impossible. In this study, we characterized the breeding system and provide estimates of individual reproductive success under natural conditions for a stream-resident, semi-isolated brown trout (Salmo trutta) population. We inferred parentage using a full probability Bayesian model that combines genetic (microsatellite) with phenotypic data. We had tried to exhaustively sample all individuals from a population, including large sib-ship families from three consecutive offspring cohorts. This allowed us to make inferences about the parental genotypes that had produced these families, and thus to augment the parent file with the inferred parental genotypes in cases where large families had unsampled parents. We observed both polygamous and monogamous matings and large reproductive skew for both sexes, but particularly so in males. We found no impact of individual neutral genetic variation or between-partners genetic similarity on reproductive success. Combining parentage analysis with sib-ship reconstruction allows for more precise inference on variance of family sizes and more definite statements on the determinants of reproductive success.
Authors
- Serbezov, Dimitar ;
- Bernatchez, Louis ;
- Olsen, Esben ;
- Vøllestad, Leif