Automated Author ProfileHarris, Lauren
Colorado State University
Harris, Lauren
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: 1.0 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Additional file 3: Supplementary Table 1A. Signalment and clinical features of dogs in this study. Supplementary Table 1B. Flow cytometric features of canine PTCLs. Supplementary Table 1C. Flow cytometric features of normal control nodal and circulating lymphocytes. Supplementary Table 1D. Flow cytometric features of normal control canine thymocytes. Supplementary Table 2A. Top 500 differentially expressed genes in canine CD4+ PTCL compared to control canine CD4+ lymphocytes. Supplementary Table 2B. Normalized RNA-seq read counts. Supplementary Table 3A. GSEA results for MSigDB gene sets using the Broad Institute GSEAPreranked tool. Supplementary Table 3B. GSEA results for curated gene sets using the Broad Institute GSEAPreranked tool. Supplementary Table 4A. GSEA results for MSigDB gene sets using clusterProfiler. Supplementary Table 4B. GSEA results for curated gene sets using clusterProfiler. Supplementary Table 5. GSVA scores. Supplementary Table 6A. Novogene RNA-seq QA/QC report. Supplementary Table 6B. MultiQC RNA-seq QA/QC report. Supplementary Table 7. Software programs and packages. Supplementary Table 8. Correlation of protein expression by flow cytometry and gene expression by RNA-seq.
Authors
- Owens, Eileen ;
- Harris, Lauren ;
- Harris, Adam ;
- Yoshimoto, Janna ;
- Burnett, Robert ;
- Avery, Anne
Additional file 3: Supplementary Table 1A. Signalment and clinical features of dogs in this study. Supplementary Table 1B. Flow cytometric features of canine PTCLs. Supplementary Table 1C. Flow cytometric features of normal control nodal and circulating lymphocytes. Supplementary Table 1D. Flow cytometric features of normal control canine thymocytes. Supplementary Table 2A. Top 500 differentially expressed genes in canine CD4+ PTCL compared to control canine CD4+ lymphocytes. Supplementary Table 2B. Normalized RNA-seq read counts. Supplementary Table 3A. GSEA results for MSigDB gene sets using the Broad Institute GSEAPreranked tool. Supplementary Table 3B. GSEA results for curated gene sets using the Broad Institute GSEAPreranked tool. Supplementary Table 4A. GSEA results for MSigDB gene sets using clusterProfiler. Supplementary Table 4B. GSEA results for curated gene sets using clusterProfiler. Supplementary Table 5. GSVA scores. Supplementary Table 6A. Novogene RNA-seq QA/QC report. Supplementary Table 6B. MultiQC RNA-seq QA/QC report. Supplementary Table 7. Software programs and packages. Supplementary Table 8. Correlation of protein expression by flow cytometry and gene expression by RNA-seq.
Authors
- Owens, Eileen ;
- Harris, Lauren ;
- Harris, Adam ;
- Yoshimoto, Janna ;
- Burnett, Robert ;
- Avery, Anne