Automated Author ProfileJanda, Kenneth
Janda, Kenneth
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: 5.4 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This data collection contains the observed characteristics of 158 diverse political parties operating in 53 countries between 1950 and 1962. The variables consist of both substantive coding of party characteristics and data quality measures. A base of 111 variables place party characteristics in a conceptual framework of 11 categories: institutionalization, governmental status, social attraction, social concentration, social reflection, issue orientation, goal orientation, autonomy, degree of organization, centralization of power, coherence, and involvement. Every variable that was coded was selected because of its relevance to a concept in the framework. The remaining variables are derived measures of the quality of those data.
Authors
- Janda, Kenneth
This data collection contains the observed characteristics of 158 diverse political parties operating in 53 countries between 1950 and 1962. The variables consist of both substantive coding of party characteristics and data quality measures. A base of 111 variables place party characteristics in a conceptual framework of 11 categories: institutionalization, governmental status, social attraction, social concentration, social reflection, issue orientation, goal orientation, autonomy, degree of organization, centralization of power, coherence, and involvement. Every variable that was coded was selected because of its relevance to a concept in the framework. The remaining variables are derived measures of the quality of those data.
Authors
- Janda, Kenneth