Automated Author ProfileHofmann, Wilhelm
University of Cologne
Hofmann, Wilhelm
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: 3.7 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
To study morality in everyday life, we recruited a demographically and geographically diverse sample (1,252 adults aged 18 to 68 years) from the US and Canada. Each participant was randomly signaled five times daily for three days between 9 a.m. and 9 p.m. At each assessment, participants indicated whether they committed, were the target of, witnessed, or learned about a moral or immoral act within the last hour. For each moral/immoral event participants provided contextual information on the moral event, and completed state measures of nine distinct moral emotions, momentary happiness, and sense of purpose. Demographic variables such as religiosity and political ideology were assessed during an intake survey upon study registration.
Authors
- Hofmann, Wilhelm ;
- Wisneski, Daniel C. ;
- Brandt, Mark J. ;
- Skitka, Linda J.