Automated Author ProfileBartle, J.
Bartle, J.
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: 0.2 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The main aim of this project was to assess the stability of a measure of party identification based on a new question. The data generated in this study was compared with data based on the traditional <i>British Election Study</i> (BES)* measure of party identification, provided by Professor Harold Clarke of the University of North Texas. Users should note, however, the comparative data are not included in this dataset. Please see documentation for further details.<br> The project also included some qualitative material from focus group work, which is also available alongside the quantitative element. <br> *The BES series is held at the Data Archive under GN:33066.
Authors
- Bartle, J. ;
- Crewe, I. M.