Automated Author ProfileLin, Ruogu
Carnegie Mellon University
Lin, Ruogu
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: 0.6 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The fLoc localizer by Stigliani et al. (Journal of Neuroscience 2015) was adapted to include a food condition that was constructed by identifying images of food items from different categories and with different shapes, converting them to grayscale and superposing them on the scrambled images from the fLoc localizer. Other conditions included faces, bodies, places and written words.
The current dataset is published as part of the following publication:
Jain, N., Wang, A., Henderson, M. M., Lin, R., Prince, J. S., Tarr, M. J., & Wehbe, L. (2023). Food for thought: selectivity for food in human ventral visual cortex. Communications Biology.
Please see the paper above for more detail and cite it if the dataset is used.
Authors
- Jain, Nidhi ;
- Wang, Aria ;
- Henderson, Margaret ;
- Lin, Ruogu ;
- Prince, Jacob ;
- Tarr, Michael ;
- Wehbe, Leila
The fLoc localizer by Stigliani et al. (Journal of Neuroscience 2015) was adapted to include a food condition that was constructed by identifying images of food items from different categories and with different shapes, converting them to grayscale and superposing them on the scrambled images from the fLoc localizer. Other conditions included faces, bodies, places and written words.
The current dataset is published as part of the following publication:
Jain, N., Wang, A., Henderson, M. M., Lin, R., Prince, J. S., Tarr, M. J., & Wehbe, L. (2023). Food for thought: selectivity for food in human ventral visual cortex. Communications Biology.
Please see the paper above for more detail and cite it if the dataset is used.
Authors
- Jain, Nidhi ;
- Wang, Aria ;
- Henderson, Margaret ;
- Lin, Ruogu ;
- Prince, Jacob ;
- Tarr, Michael ;
- Wehbe, Leila