Automated Author ProfileTruex, Rory
Princeton
Truex, Rory
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: 0.4 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This paper presents the first analysis of ethnic discrimination in sentencing patterns in the People's Republic of China, focusing on drug cases in Yunnan province. We posit the ``problem minority" hypothesis, which holds that discrimination in an authoritarian system emerges when an ethnic group becomes associated with behavior that generates social instability. On average, minority defendants in Yunnan receive sentences that are about 2.1 to 7.5 months longer than Han defendants that have committed similar drug crimes. Further analysis of data from all provinces reveals that this bias is largest for groups heavily involved in the drug trade, and in provinces with significant minority populations and drugs.
Authors
- Hou, Yue ;
- Truex, Rory