Automated Author ProfileSwift, Clint S.
VoteShield0000-0002-8767-3384
Swift, Clint S.
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: 0.7 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Recent scholarship has argued that female legislators are more prone to collaborate than their male counterparts. Though collaboration may be more or less evident in particular situations, we seek to more adequately establish how collaborative women are in general and in varied political contexts using the framework of marginalization. In this paper, we use co-sponsorship data from 74 state legislative chambers from 2011-2014 to analyze the collaborative patterns of female legislators. We find that female legislators are more collaborative than men, and that this collaborative advantage is greater in chambers where women are systematically excluded from positions of influence. Furthermore, the advantage does extend to bipartisan collaboration, but only where we find women's caucuses and even then only where party polarization is moderate to low.
Authors
- Swift, Clint S. ;
- VanderMolen, Kathryn