Automated Author ProfileMiller, Miles
Miller, Miles
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 8 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Additional file 1: Table S1. Sample Annotations and Patient Demographics: ‘QC passed’ indicates samples passing both RNA and Affymetrix quality control, and used for analysis. APOE; genotype data consist of combinations of the ε2, ε3 and ε4 alleles, with ε4 carrying the highest risk for brain injury; Bioanalyzer (BA); RNA Integrity (RIN).
Authors
- Stopa, Edward ;
- Tanis, Keith ;
- Miller, Miles ;
- Nikonova, Elena ;
- Podtelezhnikov, Alexei ;
- Finney, Eva ;
- Stone, David ;
- Luiz Camargo ;
- Parker, Lisan ;
- Verma, Ajay ;
- Baird, Andrew ;
- Donahue, John ;
- Torabi, Tara ;
- Eliceiri, Brian ;
- Silverberg, Gerald ;
- Johanson, Conrad
Additional file 1: Table S1. Sample Annotations and Patient Demographics: ‘QC passed’ indicates samples passing both RNA and Affymetrix quality control, and used for analysis. APOE; genotype data consist of combinations of the ε2, ε3 and ε4 alleles, with ε4 carrying the highest risk for brain injury; Bioanalyzer (BA); RNA Integrity (RIN).
Authors
- Stopa, Edward ;
- Tanis, Keith ;
- Miller, Miles ;
- Nikonova, Elena ;
- Podtelezhnikov, Alexei ;
- Finney, Eva ;
- Stone, David ;
- Luiz Camargo ;
- Parker, Lisan ;
- Verma, Ajay ;
- Baird, Andrew ;
- Donahue, John ;
- Torabi, Tara ;
- Eliceiri, Brian ;
- Silverberg, Gerald ;
- Johanson, Conrad
Additional file 2: Table S2. T-test results for choroid plexus RNA from 6 control, 7 Alzheimer’s disease, 4 FTD and 3HUD subjects: T-test p-values and expression differences (Log10 Disease/Ctrl) for each disease type are provided for all 5760 Affymetrix probesets measured. Values for the AD vs. HuD + FTD subject comparison are also provided.
Authors
- Stopa, Edward ;
- Tanis, Keith ;
- Miller, Miles ;
- Nikonova, Elena ;
- Podtelezhnikov, Alexei ;
- Finney, Eva ;
- Stone, David ;
- Luiz Camargo ;
- Parker, Lisan ;
- Verma, Ajay ;
- Baird, Andrew ;
- Donahue, John ;
- Torabi, Tara ;
- Eliceiri, Brian ;
- Silverberg, Gerald ;
- Johanson, Conrad
Additional file 2: Table S2. T-test results for choroid plexus RNA from 6 control, 7 Alzheimer’s disease, 4 FTD and 3HUD subjects: T-test p-values and expression differences (Log10 Disease/Ctrl) for each disease type are provided for all 5760 Affymetrix probesets measured. Values for the AD vs. HuD + FTD subject comparison are also provided.
Authors
- Stopa, Edward ;
- Tanis, Keith ;
- Miller, Miles ;
- Nikonova, Elena ;
- Podtelezhnikov, Alexei ;
- Finney, Eva ;
- Stone, David ;
- Luiz Camargo ;
- Parker, Lisan ;
- Verma, Ajay ;
- Baird, Andrew ;
- Donahue, John ;
- Torabi, Tara ;
- Eliceiri, Brian ;
- Silverberg, Gerald ;
- Johanson, Conrad
Additional file 3: Table S3. Geneset Annotations: Worksheets contain pathways enriched among genes upregulated in AD vs. Ctrl (S3a); downregulated in AD vs. Ctrl (S3b); upregulated in AD but not in HuD + FTD vs. Ctrl (S3c); and upregulated in HuD + FTD but not AD vs. Ctrl (S3d). Hypergeometric p-values (p-value), Bonferroni-corrected p-values (E-value), overlaps and input and background set sizes are provided.
Authors
- Stopa, Edward ;
- Tanis, Keith ;
- Miller, Miles ;
- Nikonova, Elena ;
- Podtelezhnikov, Alexei ;
- Finney, Eva ;
- Stone, David ;
- Luiz Camargo ;
- Parker, Lisan ;
- Verma, Ajay ;
- Baird, Andrew ;
- Donahue, John ;
- Torabi, Tara ;
- Eliceiri, Brian ;
- Silverberg, Gerald ;
- Johanson, Conrad
Additional file 3: Table S3. Geneset Annotations: Worksheets contain pathways enriched among genes upregulated in AD vs. Ctrl (S3a); downregulated in AD vs. Ctrl (S3b); upregulated in AD but not in HuD + FTD vs. Ctrl (S3c); and upregulated in HuD + FTD but not AD vs. Ctrl (S3d). Hypergeometric p-values (p-value), Bonferroni-corrected p-values (E-value), overlaps and input and background set sizes are provided.
Authors
- Stopa, Edward ;
- Tanis, Keith ;
- Miller, Miles ;
- Nikonova, Elena ;
- Podtelezhnikov, Alexei ;
- Finney, Eva ;
- Stone, David ;
- Luiz Camargo ;
- Parker, Lisan ;
- Verma, Ajay ;
- Baird, Andrew ;
- Donahue, John ;
- Torabi, Tara ;
- Eliceiri, Brian ;
- Silverberg, Gerald ;
- Johanson, Conrad
Additional file 4: Table S4. The top 10 most upregulated and top 10 most downregulated genes in the AD vs. Ctrl comparison, with p
Authors
- Stopa, Edward ;
- Tanis, Keith ;
- Miller, Miles ;
- Nikonova, Elena ;
- Podtelezhnikov, Alexei ;
- Finney, Eva ;
- Stone, David ;
- Luiz Camargo ;
- Parker, Lisan ;
- Verma, Ajay ;
- Baird, Andrew ;
- Donahue, John ;
- Torabi, Tara ;
- Eliceiri, Brian ;
- Silverberg, Gerald ;
- Johanson, Conrad
Additional file 4: Table S4. The top 10 most upregulated and top 10 most downregulated genes in the AD vs. Ctrl comparison, with p
Authors
- Stopa, Edward ;
- Tanis, Keith ;
- Miller, Miles ;
- Nikonova, Elena ;
- Podtelezhnikov, Alexei ;
- Finney, Eva ;
- Stone, David ;
- Luiz Camargo ;
- Parker, Lisan ;
- Verma, Ajay ;
- Baird, Andrew ;
- Donahue, John ;
- Torabi, Tara ;
- Eliceiri, Brian ;
- Silverberg, Gerald ;
- Johanson, Conrad