Automated Author ProfileTurner, Noel
Turner, Noel
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: 4.4 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Successful treatment of keratoacanthoma-like atypical squamous proliferations on the lower legs of elderly patients with intralesional triamcinolone suggests a unique reactive pathogenesis and response to therapy that differs from conventional squamous cell carcinoma
Authors
- Turner, Noel
Successful treatment of keratoacanthoma-like atypical squamous proliferations on the lower legs of elderly patients with intralesional triamcinolone suggests a unique reactive pathogenesis and response to therapy that differs from conventional squamous cell carcinoma
Authors
- Turner, Noel
Springs and sinkholes in the Ozark Plateaus Physiographic Province (Ozarks) in Arkansas were digitized from 1:24,000 scale topographic maps to produce a digital dataset of karst features. Karst landscapes generally are created from bedrock dissolution that results in distinctive landforms, including sinkholes, springs, caves, and sinking streams, and a high degree of interaction between surface water and groundwater. The dataset can be used to better understand groundwater flow in the karst landscape of the Arkansas Ozarks and potential effects of karst-feature density on water quality, geomorphology, water resources, and karst hazards. In the Ozarks, karst features are present in several limestone and dolomite formations (for example, the Boone Formation, Pitkin Limestone, and Powell Dolomite). Springs (points) and sinkholes (polygons and centroid points) were digitized from over 200 topographic quadrangle maps from 22 different counties with published dates ranging from 1942 to 2014. The digitization efforts using the topographic maps resulted in 805 springs and 1,242 sinkholes across the Arkansas Ozarks. Topographic maps were the only source of data used to provide an unbiased distribution over the Ozarks in Arkansas. This karst-feature dataset will be a resource for years to come in karst science, water science, geomorphology, and other fields.
Authors
- Turner, Noel