Automated Author Profile, Liang
Yu
, Liang
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: 2.5 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The core problem in the distribution dilemma is how to trade-off between equity and efficiency. With the development of socio-economic conditions, the optimal decision will also change between equitable and efficient options. How to nudge decision-makers to make optimal allocation decisions without changing the event itself is extremely important. This study used a mixed design of 3 (division schemes: 12:15:23, 15:23:12, 23:12:15) x 2 (maxim: equity, efficiency) x 2 (stakes: low, medium, high), which explores the impact of additional maximal information on the trade-off between equity and efficiency, and explores whether the stakes and division scheme will affect the nudging effect of the maxim in a Trade-Off Game (TOG). We found that participants were affected by maxim information in decision-making scenarios, and participants showed different equal preference as the maxim information changed, no matter the stakes is small, medium or high. We also found that the nudging effect of the maxim only exists under the condition that the distributor's own interests are not affected.
Authors
- , Long ;
- Wangsheng ;
- Fuming ;
- Hairong ;
- , Liang ;
- Fujun ;
- , Lei
The core problem in the distribution dilemma is how to trade-off between equity and efficiency. With the development of socio-economic conditions, the optimal decision will also change between equitable and efficient options. How to nudge decision-makers to make optimal allocation decisions without changing the event itself is extremely important. This study used a mixed design of 3 (division schemes: 12:15:23, 15:23:12, 23:12:15) x 2 (maxim: equity, efficiency) x 2 (stakes: low, medium, high), which explores the impact of additional maximal information on the trade-off between equity and efficiency, and explores whether the stakes and division scheme will affect the nudging effect of the maxim in a Trade-Off Game (TOG). We found that participants were affected by maxim information in decision-making scenarios, and participants showed different equal preference as the maxim information changed, no matter the stakes is small, medium or high. We also found that the nudging effect of the maxim only exists under the condition that the distributor's own interests are not affected.
Authors
- , Long ;
- Wangsheng ;
- Fuming ;
- Hairong ;
- , Liang ;
- Fujun ;
- , Lei