Automated Author ProfileBarajas-Nava, Leticia
Barajas-Nava, Leticia
Current S-Index
1.3
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
0.7
Average Dataset Index per dataset
Total Datasets
2
Total datasets for this author
Average FAIR Score
84.6%
Average FAIR Score per dataset
Total Citations
2
Total citations to the author's datasets
Total Mentions
0
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: 1.3 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Spreadsheet Self-perception and knowledge of EBM. (XLSX 87 kb)
Authors
- Aguirre-Raya, Karen ;
- Castilla-Peón, María ;
- Barajas-Nava, Leticia ;
- Torres-Rodríguez, Violeta ;
- Onofre Muñoz-Hernández ;
- Garduño-Espinosa, Juan
1 Citation0 Mentions85% FAIR0.7 Dataset Index
10.6084/m9.figshare.c.3626603_d22016
Spreadsheet Self-perception and knowledge of EBM. (XLSX 87 kb)
Authors
- Aguirre-Raya, Karen ;
- Castilla-Peón, María ;
- Barajas-Nava, Leticia ;
- Torres-Rodríguez, Violeta ;
- Onofre Muñoz-Hernández ;
- Garduño-Espinosa, Juan
1 Citation0 Mentions85% FAIR0.7 Dataset Index
10.6084/m9.figshare.c.3626603_d2.v12016