Automated Author ProfileGalindo-González, Leonardo
Canadian Food Inspection Agency
Galindo-González, Leonardo
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: 2.9 (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 2: Additional file 2 (.Xlsx) Protein biotyping database. Details of all accessions used.
Authors
- Murphy, Maxime ;
- Hubert, Julia ;
- Wang, Ruojing ;
- Galindo-González, Leonardo
Supplementary Material 2: Additional file 2 (.Xlsx) Protein biotyping database. Details of all accessions used.
Authors
- Murphy, Maxime ;
- Hubert, Julia ;
- Wang, Ruojing ;
- Galindo-González, Leonardo
Supplementary Material 4: Additional file 4. (.Xlsx) Blind sample testing for samples from AAFC in Table 1. For each sample, three seeds were tested, and for each seed three technical replicates were ran.
Authors
- Murphy, Maxime ;
- Hubert, Julia ;
- Wang, Ruojing ;
- Galindo-González, Leonardo
Supplementary Material 4: Additional file 4. (.Xlsx) Blind sample testing for samples from AAFC in Table 1. For each sample, three seeds were tested, and for each seed three technical replicates were ran.
Authors
- Murphy, Maxime ;
- Hubert, Julia ;
- Wang, Ruojing ;
- Galindo-González, Leonardo
Supplementary Material 5: Additional file 5. (.Xlsx) Blind sample testing for samples from CFIA SSST in Table 2. Three technical replicates were run per seed.
Authors
- Murphy, Maxime ;
- Hubert, Julia ;
- Wang, Ruojing ;
- Galindo-González, Leonardo
Supplementary Material 5: Additional file 5. (.Xlsx) Blind sample testing for samples from CFIA SSST in Table 2. Three technical replicates were run per seed.
Authors
- Murphy, Maxime ;
- Hubert, Julia ;
- Wang, Ruojing ;
- Galindo-González, Leonardo