Automated Author ProfileLaurentino, Telma G.
0000-0001-7879-5251
Laurentino, Telma G.
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: 3.0 (sum of 6 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Supplementary Material 1
Authors
- Laurentino, Telma G. ;
- Scheller, Meike ;
- Glover, Gillian ;
- Proulx, Michael J. ;
- de Sousa, Alexandra A.
Variation in lateral plating in stickleback fish represents a classical example of rapid and parallel adaptation in morphology. The underlying genetic architecture involves polymorphism at the ectodysplasin-A (EDA) gene. However, lateral plate number is influenced by additional loci that remain poorly characterized. Here we search for such loci by performing genome-wide differentiation mapping based on pooled whole-genome sequence data from a European stickleback population variable in the extent of lateral plating, while tightly controlling for the phenotypic effect of EDA. This suggests a new candidate locus, the EDA receptor (EDAR) gene, for which additional support is obtained by individual-level targeted Sanger sequencing and by comparing allele frequencies among natural populations. Overall, our study illustrates the power of pooled whole-genome sequencing for searching phenotypically relevant loci and opens opportunities for exploring the population genetics and ecological significance of a new candidate locus for stickleback armor evolution.
Authors
- Laurentino, Telma G. ;
- Boileau, Nicolas ;
- Ronco, Fabrizia ;
- Berner, Daniel
Additional file 3. Anonymised raw data.
Authors
- Laurentino, Telma G. ;
- Xavier, Marisa ;
- Ronco, Fabrizia ;
- Pina-Martins, Francisco ;
- Domingues, Iolanda ;
- Penha, Bruno ;
- Dias, Marta ;
- Sousa, Alexandra De ;
- Carrilho, Tiago ;
- Rodrigues, Leonor R. ;
- Pinheiro, Carlota ;
- Rato, Daniela ;
- Balata, Duarte ;
- Ayala-Botto, Gonçalo ;
- Matos, Margarida ;
- Campelo, Maria ;
- Botelho, Rafael
Additional file 3. Anonymised raw data.
Authors
- Laurentino, Telma G. ;
- Xavier, Marisa ;
- Ronco, Fabrizia ;
- Pina-Martins, Francisco ;
- Domingues, Iolanda ;
- Penha, Bruno ;
- Dias, Marta ;
- Sousa, Alexandra De ;
- Carrilho, Tiago ;
- Rodrigues, Leonor R. ;
- Pinheiro, Carlota ;
- Rato, Daniela ;
- Balata, Duarte ;
- Ayala-Botto, Gonçalo ;
- Matos, Margarida ;
- Campelo, Maria ;
- Botelho, Rafael
Additional file 8. R code for data analysis.
Authors
- Laurentino, Telma G. ;
- Xavier, Marisa ;
- Ronco, Fabrizia ;
- Pina-Martins, Francisco ;
- Domingues, Iolanda ;
- Penha, Bruno ;
- Dias, Marta ;
- Sousa, Alexandra De ;
- Carrilho, Tiago ;
- Rodrigues, Leonor R. ;
- Pinheiro, Carlota ;
- Rato, Daniela ;
- Balata, Duarte ;
- Ayala-Botto, Gonçalo ;
- Matos, Margarida ;
- Campelo, Maria ;
- Botelho, Rafael
Additional file 8. R code for data analysis.
Authors
- Laurentino, Telma G. ;
- Xavier, Marisa ;
- Ronco, Fabrizia ;
- Pina-Martins, Francisco ;
- Domingues, Iolanda ;
- Penha, Bruno ;
- Dias, Marta ;
- Sousa, Alexandra De ;
- Carrilho, Tiago ;
- Rodrigues, Leonor R. ;
- Pinheiro, Carlota ;
- Rato, Daniela ;
- Balata, Duarte ;
- Ayala-Botto, Gonçalo ;
- Matos, Margarida ;
- Campelo, Maria ;
- Botelho, Rafael