Automated Organization ProfileStanford University School of Medicine, Department of Neurosurgery
Stanford University School of Medicine, Department of Neurosurgery
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets in this organization
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the organization's datasets
Total Mentions
Total mentions of the organization'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: 2.6 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This collection of data accompanies the study: Umeh Garcia et al. Spatial Profiling Reveals Equivalence-Derived Molecular Signatures of Brain Mimicry and Adaptation in Breast Cancer Brain Metastases. (2024). Data collected and processed as a part of this study of breast cancer brain metastases (BCBM) include: Nanostring GeoMx Digitial Spatial Profiling collected from 149 unique patients, across 235 tissue tissue cores, generating 473 Area Of Interest (AOI) transcriptome profiles (reduced to 450 after quality control filtering), including technical replicates.Tissue cores from BCBM (including adjacent normal brain), primary invasive breast cancers, and normal (non-cancer) brainAnalysis of 18,677 RNAs (whole transcriptome atlas probe set) in 450 areas of interest (AOIs)Introduction the “Equivalent Expression Index” a highly specific and accurate algorithm that identifies statistically significant "Equivalently-Expressed Genes" (EEGs)Uploaded data include: DCC count filesLabWorksheet / Annotation file including biospecimen metadata informationProbe Kit Configuration (PKC) fileCount MatricesProcessed raw data frame (AOI x gene matrix)Processed Q3 normalized data frame (AOI x gene matrix)GeoMx DSP Scan Images: high resolution PNGs of DSP slides (w/ AOIs)PNG file names correspond to "scan name" column in Lab Worksheet / Annotation fileEquivalence Expression Index (EEI) Folder containing: LICENSEEEI README.mdEquivalent_Expression_Index.RmdInputs - example files for demoOutputs - example files for demo
Authors
- Umeh-Garcia, Maxine
This collection of data accompanies the study: Umeh Garcia et al. Spatial Profiling Reveals Equivalence-Derived Molecular Signatures of Brain Mimicry and Adaptation in Breast Cancer Brain Metastases. (2024). Data collected and processed as a part of this study of breast cancer brain metastases (BCBM) include: Nanostring GeoMx Digitial Spatial Profiling collected from 149 unique patients, across 235 tissue tissue cores, generating 473 Area Of Interest (AOI) transcriptome profiles (reduced to 450 after quality control filtering), including technical replicates.Tissue cores from BCBM (including adjacent normal brain), primary invasive breast cancers, and normal (non-cancer) brainAnalysis of 18,677 RNAs (whole transcriptome atlas probe set) in 450 areas of interest (AOIs)Introduction the “Equivalent Expression Index” a highly specific and accurate algorithm that identifies statistically significant "Equivalently-Expressed Genes" (EEGs)Uploaded data include: DCC count filesLabWorksheet / Annotation file including biospecimen metadata informationProbe Kit Configuration (PKC) fileCount MatricesProcessed raw data frame (AOI x gene matrix)Processed Q3 normalized data frame (AOI x gene matrix)GeoMx DSP Scan Images: high resolution PNGs of DSP slides (w/ AOIs)PNG file names correspond to "scan name" column in Lab Worksheet / Annotation fileEquivalence Expression Index (EEI) Folder containing: LICENSEEEI README.mdEquivalent_Expression_Index.RmdInputs - example files for demoOutputs - example files for demo
Authors
- Umeh-Garcia, Maxine
This collection of data accompanies the study: Umeh Garcia et al. Spatial Profiling Reveals Equivalence-Derived Molecular Signatures of Brain Mimicry and Adaptation in Breast Cancer Brain Metastases. (2024). Data collected and processed as a part of this study of breast cancer brain metastases (BCBM) include: Nanostring GeoMx Digitial Spatial Profiling collected from 149 unique patients, across 235 tissue tissue cores, generating 473 Area Of Interest (AOI) transcriptome profiles (reduced to 450 after quality control filtering), including technical replicates.Tissue cores from BCBM (including adjacent normal brain), primary invasive breast cancers, and normal (non-cancer) brainAnalysis of 18,677 RNAs (whole transcriptome atlas probe set) in 450 areas of interest (AOIs)Introduction the “Equivalent Expression Index” a highly specific and accurate algorithm that identifies statistically significant "Equivalently-Expressed Genes" (EEGs)Uploaded data include: DCC count filesLabWorksheet / Annotation file including biospecimen metadata informationProbe Kit Configuration (PKC) fileProcessed raw data frame (AOI x gene matrix)Processed Q3 normalized data frame (AOI x gene matrix)Equivalence Expression Index (EEI) Folder containing:LICENSEEEI README.mdEquivalent_Expression_Index.RmdInputs - example files for demoOutputs - example files for demoLink to Equivalence Expression Index code on Github - currently private
Authors
- Umeh-Garcia, Maxine