Automated Author ProfileWall, Taylar
Queens University. Department of Medicine, Kingston Health Sciences Centre
Wall, Taylar
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: 2.5 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The physiologic variables distinguishing classic asthma (CA), cough variant asthma (CVA), and methacholine (MCh)-induced cough with normal airway sensitivity (COUGH) are incompletely understood. Defining the range of normal responses associated with deep inspirations (DIs) during high-dose MCh is crucial to understand the clinical relevance of COUGH with respect to CA and CVA. The purpose of this study is to characterize responses to DI in healthy normal individuals (without asthma, chronic cough or asymptomatic airway hyperresponsiveness) during high-dose MCh and compare with responses in CA, CVA and COUGH.
Authors
- Sood, Nilita ;
- Wall, Taylar ;
- Fisher, Thomas ;
- Fisher, John T. ;
- Lougheed, M. Diane