Automated Author ProfileHjermitslev, Ida B.
Hjermitslev, Ida B.
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: 1.7 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Foundational manuscripts examined whether niche parties and mainstream parties differed in their party-voter linkages. Specifically, they examine “mean electorate” and “partisan electorate” forms of party responsiveness using data from the twentieth century. Importantly, these early studies followed a party family approach and defined all nationalist, communist, and ecological parties as “niche parties”. Using data covering 75 European parties in the period 2006-2019, we show that this foundational difference between niche and mainstream parties is still valid, though not on the same set of party families. Economically-focused mainstream parties continue to respond to the mean electorate rather than their partisans, but so do communist parties, which have previously been classified as niche. We propose an alternative operationalization of niche party families, which include ethno-regional and rural-interest parties and in turn exclude communist parties. With this distinction, we do indeed find that niche parties respond to their partisans on both the general left-right dimension as well as on two issue dimensions. These results also serve to caution future users of the niche party concept to focus on parties whose raison d'etre are noneconomic issues when using a party family approach.
Authors
- Hjermitslev, Ida B. ;
- Bergman, Matthew E.
Foundational manuscripts examined whether niche parties and mainstream parties differed in their party-voter linkages. Specifically, they examine “mean electorate” and “partisan electorate” forms of party responsiveness using data from the twentieth century. Importantly, these early studies followed a party family approach and defined all nationalist, communist, and ecological parties as “niche parties”. Using data covering 75 European parties in the period 2006-2019, we show that this foundational difference between niche and mainstream parties is still valid, though not on the same set of party families. Economically-focused mainstream parties continue to respond to the mean electorate rather than their partisans, but so do communist parties, which have previously been classified as niche. We propose an alternative operationalization of niche party families, which include ethno-regional and rural-interest parties and in turn exclude communist parties. With this distinction, we do indeed find that niche parties respond to their partisans on both the general left-right dimension as well as on two issue dimensions. These results also serve to caution future users of the niche party concept to focus on parties whose raison d'etre are noneconomic issues when using a party family approach.
Authors
- Hjermitslev, Ida B. ;
- Bergman, Matthew E.