Automated Author ProfileKocher, Jacob
Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
Kocher, Jacob
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: 1.6 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Genotype calls from the MUGA array for an F2 cross between the mouse strains CC003/Unc and CC053/Unc. The results of this F2 cross are in press at G3 Gralinski, L. E., V. D. Menachery, A. P. Morgan, A. Totura, A. Beall et al., 2017 Allelic variation in mouse Ticam2 contributes to SARS-CoV pathogenesis. G3 7: xx-xx.
Authors
- Gralinski, Lisa E ;
- Menachery, Vineet D ;
- Morgan, Andrew P. ;
- Totura, Allison L ;
- Beall, Anne ;
- Kocher, Jacob ;
- Plante, Jessica ;
- Harrison-Shostak, D. Corinne ;
- Schafer, Alexandra ;
- Pardo-Manuel de Villena, Fernando ;
- Ferris, Martin T. ;
- Baric, Ralph S.