Automated Author ProfileDawson, Brian
Dawson, Brian
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: 3.9 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
A comparative investigation into the skill constraint frequencies of elite Australian Rules football.
This study allows Australian football coaches to directly compare the skill demands of match-scenario training drills with game conditions. Analysing skill constraint frequencies may assist practitioners in identifying specific facets of training, which may require modification to better align training prescription with the skill patterns of a game. This information may enhance current training practices and assist in the development of innovative training drills to better prepare players for specific skill requirements of competition.
Authors
- Ireland, Danielle ;
- Peeling, Peter ;
- Dawson, Brian
A comparative investigation into the skill constraint frequencies of elite Australian Rules football.
This study allows Australian football coaches to directly compare the skill demands of match-scenario training drills with game conditions. Analysing skill constraint frequencies may assist practitioners in identifying specific facets of training, which may require modification to better align training prescription with the skill patterns of a game. This information may enhance current training practices and assist in the development of innovative training drills to better prepare players for specific skill requirements of competition.
Authors
- Ireland, Danielle ;
- Peeling, Peter ;
- Dawson, Brian