Automated Author ProfileFernandez-Fernandez, Felicidad
Fernandez-Fernandez, Felicidad
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: 1.9 (sum of 4 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
List of the 2446 accessions considered in the present study with their accession code (AcceNumber), name (AcceName), the name of the providing collection (Collection), their duplicate code according to the SSR profile (FBUNQ, see text), their ploidy level (Ploidy) determined according to the occurrences of three alleles per locus (see text), their status (Analyzed) as analyzed or not-analyzed within the duplicate group (when adequate), their documented European geographic region of origin (Eur_reg_orig), their putative country of origin (Country_orig), their group assignment (Group) inferred by the Structure analysis with the highest proportion of ancestry (qImax), and their subgroup assignment (Subgroup) inferred by the nested Structure analysis with the highest proportion of ancestry (qImax nested). (XLSX 394 kb)
Authors
- Urrestarazu, Jorge ;
- DenancĂŠ, Caroline ;
- Ravon, Elisa ;
- Guyader, Arnaud ;
- RĂŠmi Guisnel ;
- Feugey, Laurence ;
- Poncet, Charles ;
- Lateur, Marc ;
- Houben, Patrick ;
- Ordidge, Matthew ;
- Fernandez-Fernandez, Felicidad ;
- Evans, Kate ;
- Frantisek Paprstein ;
- Jiri Sedlak ;
- Nybom, Hilde ;
- Garkava-Gustavsson, Larisa ;
- Miranda, Carlos ;
- Gassmann, Jennifer ;
- Kellerhals, Markus ;
- Suprun, Ivan ;
- Pikunova, Anna ;
- Krasova, Nina ;
- Elnura Torutaeva ;
- Dondini, Luca ;
- Tartarini, Stefano ;
- FrançOis Laurens ;
- Charles-Eric Durel
Characteristics of the 16 SSR markers used in this study with indication of the corresponding multiplex and dye. Footnotes: a [61]; b [60]; c [59]; d [62]; e Primer concentration within a given multiplex has been adjusted to get more homogeneous SSR marker amplification intensities. (XLSX 10 kb)
Authors
- Urrestarazu, Jorge ;
- DenancĂŠ, Caroline ;
- Ravon, Elisa ;
- Guyader, Arnaud ;
- RĂŠmi Guisnel ;
- Feugey, Laurence ;
- Poncet, Charles ;
- Lateur, Marc ;
- Houben, Patrick ;
- Ordidge, Matthew ;
- Fernandez-Fernandez, Felicidad ;
- Evans, Kate ;
- Frantisek Paprstein ;
- Jiri Sedlak ;
- Nybom, Hilde ;
- Garkava-Gustavsson, Larisa ;
- Miranda, Carlos ;
- Gassmann, Jennifer ;
- Kellerhals, Markus ;
- Suprun, Ivan ;
- Pikunova, Anna ;
- Krasova, Nina ;
- Elnura Torutaeva ;
- Dondini, Luca ;
- Tartarini, Stefano ;
- FrançOis Laurens ;
- Charles-Eric Durel
Characteristics of the 16 SSR markers used in this study with indication of the corresponding multiplex and dye. Footnotes: a [61]; b [60]; c [59]; d [62]; e Primer concentration within a given multiplex has been adjusted to get more homogeneous SSR marker amplification intensities. (XLSX 10 kb)
Authors
- Urrestarazu, Jorge ;
- DenancĂŠ, Caroline ;
- Ravon, Elisa ;
- Guyader, Arnaud ;
- RĂŠmi Guisnel ;
- Feugey, Laurence ;
- Poncet, Charles ;
- Lateur, Marc ;
- Houben, Patrick ;
- Ordidge, Matthew ;
- Fernandez-Fernandez, Felicidad ;
- Evans, Kate ;
- Frantisek Paprstein ;
- Jiri Sedlak ;
- Nybom, Hilde ;
- Garkava-Gustavsson, Larisa ;
- Miranda, Carlos ;
- Gassmann, Jennifer ;
- Kellerhals, Markus ;
- Suprun, Ivan ;
- Pikunova, Anna ;
- Krasova, Nina ;
- Elnura Torutaeva ;
- Dondini, Luca ;
- Tartarini, Stefano ;
- FrançOis Laurens ;
- Charles-Eric Durel
List of the 2446 accessions considered in the present study with their accession code (AcceNumber), name (AcceName), the name of the providing collection (Collection), their duplicate code according to the SSR profile (FBUNQ, see text), their ploidy level (Ploidy) determined according to the occurrences of three alleles per locus (see text), their status (Analyzed) as analyzed or not-analyzed within the duplicate group (when adequate), their documented European geographic region of origin (Eur_reg_orig), their putative country of origin (Country_orig), their group assignment (Group) inferred by the Structure analysis with the highest proportion of ancestry (qImax), and their subgroup assignment (Subgroup) inferred by the nested Structure analysis with the highest proportion of ancestry (qImax nested). (XLSX 394 kb)
Authors
- Urrestarazu, Jorge ;
- DenancĂŠ, Caroline ;
- Ravon, Elisa ;
- Guyader, Arnaud ;
- RĂŠmi Guisnel ;
- Feugey, Laurence ;
- Poncet, Charles ;
- Lateur, Marc ;
- Houben, Patrick ;
- Ordidge, Matthew ;
- Fernandez-Fernandez, Felicidad ;
- Evans, Kate ;
- Frantisek Paprstein ;
- Jiri Sedlak ;
- Nybom, Hilde ;
- Garkava-Gustavsson, Larisa ;
- Miranda, Carlos ;
- Gassmann, Jennifer ;
- Kellerhals, Markus ;
- Suprun, Ivan ;
- Pikunova, Anna ;
- Krasova, Nina ;
- Elnura Torutaeva ;
- Dondini, Luca ;
- Tartarini, Stefano ;
- FrançOis Laurens ;
- Charles-Eric Durel