Automated Author ProfileReynolds, Samantha
Reynolds, Samantha
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: 0.0 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This dataset is from a study that is the first to use biotelemetric data to assess the effects of drones on the natural behaviour of a water-breathing marine species. Rather than relying on observations of behaviour that can be impacted by observer bias, we employed behavioural data-logging tags, incorporating tri-axial accelerometers and magnetometers, to record fine-scale whale shark activity and diving behaviour in the presence and absence of a drone. Reynolds et al. 2026 - accepted for publication in Ecosphere (manuscript number: ECS25-0418)
Authors
- Reynolds, Samantha ;
- Redcliffe, James ;
- Cornet, Valerie ;
- Raoult, Vincent ;
- Holton, Mark D. ;
- Wilson, Rory P ;
- Norman, Bradley M
This dataset is from a study that is the first to use biotelemetric data to assess the effects of drones on the natural behaviour of a water-breathing marine species. Rather than relying on observations of behaviour that can be impacted by observer bias, we employed behavioural data-logging tags, incorporating tri-axial accelerometers and magnetometers, to record fine-scale whale shark activity and diving behaviour in the presence and absence of a drone. Reynolds et al. 2026 - accepted for publication in Ecosphere (manuscript number: ECS25-0418)
Authors
- Reynolds, Samantha ;
- Redcliffe, James ;
- Cornet, Valerie ;
- Raoult, Vincent ;
- Holton, Mark D. ;
- Wilson, Rory P ;
- Norman, Bradley M