Automated Author ProfileDelnevo, Cristine
Rutgers University Center for Tobacco Studies
Delnevo, Cristine
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: 0.9 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This project draws on data from the National Young Adult Health Survey (NYAHS). NYAHS is a longitudinal study of adults aged 18-34 initially recruited in 2019 through RDD sampling of cell phone numbers nationwide. Prior to recruitment, cell phone numbers were randomly assigned to one of the following modes of data collection for the main interviews: 1) telephone only, 2) telephone mostly, 3) web mostly. This project explores the impact of mode switching on young adults’ likelihood of participating in later surveys and on nonresponse bias in key survey outcomes.
Authors
- Delnevo, Cristine ;
- Gundersen, Daniel
This project draws on data from the National Young Adult Health Survey (NYAHS). NYAHS is a longitudinal study of adults aged 18-34 initially recruited in 2019 through RDD sampling of cell phone numbers nationwide. Prior to recruitment, cell phone numbers were randomly assigned to one of the following modes of data collection for the main interviews: 1) telephone only, 2) telephone mostly, 3) web mostly. This project explores the impact of mode switching on young adults’ likelihood of participating in later surveys and on nonresponse bias in key survey outcomes.
Authors
- Delnevo, Cristine ;
- Gundersen, Daniel