Automated Author ProfileGuimaraes, Silvia
Guimaraes, Silvia
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 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Description of all samples analyzed. Table S2. Population diversity parameters based on the HVR sequences. Table S3. GenBank accession numbers of the sequences used in the Bayesian analysis of the HVR phylogeny of Fig. 2. Table S4. Depth of coverage and number of covered positions of the captured mitogenomes. Table S5. GenBank accession numbers of the sequences used in the Bayesian analysis of the mitogenome phylogeny of Fig. 3. Table S6. PCR primers used for amplification of the mitochondrial HVR DNA of Bison sp. Table S7. Primer sequences for amplification of the mitochondrial genome of Bos taurus to synthesize capture baits. (XLSX 177 kb)
Authors
- Diyendo Massilani ;
- Guimaraes, Silvia ;
- Jean-Philip Brugal ;
- E. Bennett ;
- Malgorzata Tokarska ;
- Rose-Marie Arbogast ;
- Baryshnikov, Gennady ;
- Boeskorov, Gennady ;
- Jean-Christophe Castel ;
- Davydov, Sergey ;
- StĂŠphane Madelaine ;
- Putelat, Olivier ;
- Spasskaya, Natalia ;
- Hans-Peter Uerpmann ;
- Grange, Thierry ;
- Eva-Maria Geigl
Description of all samples analyzed. Table S2. Population diversity parameters based on the HVR sequences. Table S3. GenBank accession numbers of the sequences used in the Bayesian analysis of the HVR phylogeny of Fig. 2. Table S4. Depth of coverage and number of covered positions of the captured mitogenomes. Table S5. GenBank accession numbers of the sequences used in the Bayesian analysis of the mitogenome phylogeny of Fig. 3. Table S6. PCR primers used for amplification of the mitochondrial HVR DNA of Bison sp. Table S7. Primer sequences for amplification of the mitochondrial genome of Bos taurus to synthesize capture baits. (XLSX 177 kb)
Authors
- Diyendo Massilani ;
- Guimaraes, Silvia ;
- Jean-Philip Brugal ;
- E. Bennett ;
- Malgorzata Tokarska ;
- Rose-Marie Arbogast ;
- Baryshnikov, Gennady ;
- Boeskorov, Gennady ;
- Jean-Christophe Castel ;
- Davydov, Sergey ;
- StĂŠphane Madelaine ;
- Putelat, Olivier ;
- Spasskaya, Natalia ;
- Hans-Peter Uerpmann ;
- Grange, Thierry ;
- Eva-Maria Geigl