Automated Organization ProfileDept. of Political Science, Aarhus University
Dept. of Political Science, Aarhus University
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets in this organization
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the organization's datasets
Total Mentions
Total mentions of the organization'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: 8.3 (sum of 21 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Abstract: While there is growing interest in the relationship between pathogen avoidance motivations and partisanship, the extant findings remain contradictory and suffer from a number of methodological limitations related to measurement and internal and external validity. We address these limitations and marshal the most complete test to date of the relationship between the behavioral immune system and partisanship, as indexed by which party people identify with and vote for. Using a unique research design, including multiple well-powered, nationally representative samples from the United States and Denmark collected in election and non-election contexts, our study is the first to establish in cross-national data a consistent, substantial, and replicable connection between deep-seated pathogen avoidance motivations and socially conservative party preferences across multiple validated measures of individual differences in disgust sensitivity, and using large representative samples. We explore the relative contribution of the pathogen avoidance model and sexual strategies for accounting for this relationship.
Authors
- Aarøe, Lene ;
- Petersen, Michael Bang ;
- Arceneaux, Kevin
:unav
Authors
- Aarøe, Lene ;
- Petersen, Michael Bang ;
- Arceneaux, Kevin
Excel version of the replication dataset for Figure 1-2 and A1-A2
Authors
- Aarøe, Lene ;
- Petersen, Michael Bang ;
- Arceneaux, Kevin
:unav
Authors
- Aarøe, Lene ;
- Petersen, Michael Bang ;
- Arceneaux, Kevin
:unav
Authors
- Aarøe, Lene ;
- Petersen, Michael Bang ;
- Arceneaux, Kevin
:unav
Authors
- Aarøe, Lene ;
- Petersen, Michael Bang ;
- Arceneaux, Kevin
:unav
Authors
- Aarøe, Lene ;
- Petersen, Michael Bang ;
- Arceneaux, Kevin
:unav
Authors
- Aarøe, Lene ;
- Petersen, Michael Bang ;
- Arceneaux, Kevin
:unav
Authors
- Aarøe, Lene ;
- Petersen, Michael Bang ;
- Arceneaux, Kevin