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Automated Author Profile

Botvinnik, Olga

Current S-Index

3.9

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.7

Average Dataset Index per dataset

Total Datasets

6

Total datasets for this author

Average FAIR Score

84.6%

Average FAIR Score per dataset

Total Citations

7

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Single-cell RNA-seq data from microfluidic emulsion (v2)

Gene-count files and metadata files for single cells from different organs of mice processed on the 10X Genomics Platform. The counts are given using the .mtx file output by the CellRanger program, with one folder per run.
Includes data for 422,803 droplets, 55,656 of which passed a QC cutoff of 500 genes and 1000 UMI.
Cell annotations using the Cell Ontology [1] controlled vocabulary are in a separate csv.
[1] http://purl.obolibrary.org/obo/cl.owl
Update 2018-09-20: Updated Annotations to latest version
Why it's different from the previous version (https://figshare.com/account/projects/27733/articles/5715025):Renamed tissues for nomenclature standards: "Colon" --> "Large_Intestine" "Heart" --> "Heart_and_Aorta" "Muscle" --> "Limb_Muscle" "Mammary" --> "Mammary_Gland" "Brain_Microglia" --> "Brain_Myeloid" "Brain_Non-microglia" --> "Brain_Non-Myeloid"Update 2018-03-28: Uploaded resubmitted annotations, with within-tissue (organ) tSNE coordinates

Authors

  • Botvinnik, Olga ;
  • Webber, James ;
  • Batson, Joshua ;
  • Pisco, Angela
0 Citations0 Mentions85% FAIR0.1 Dataset Index
10.6084/m9.figshare.59689602018

Single-cell RNA-seq data from microfluidic emulsion (v2)

Gene-count files and metadata files for single cells from different organs of mice processed on the 10X Genomics Platform. The counts are given using the .mtx file output by the CellRanger program, with one folder per run.
Includes data for 422,803 droplets, 55,656 of which passed a QC cutoff of 500 genes and 1000 UMI.
Cell annotations using the Cell Ontology [1] controlled vocabulary are in a separate csv.
[1] http://purl.obolibrary.org/obo/cl.owl
Why it's different from the previous version (https://figshare.com/account/projects/27733/articles/5715025):Renamed tissues for nomenclature standards: "Colon" --> "Large_Intestine" "Heart" --> "Heart_and_Aorta" "Muscle" --> "Limb_Muscle" "Mammary" --> "Mammary_Gland" "Brain_Microglia" --> "Brain_Myeloid" "Brain_Non-microglia" --> "Brain_Non-Myeloid"

Authors

  • Botvinnik, Olga ;
  • Webber, James ;
  • Batson, Joshua
0 Citations0 Mentions85% FAIR0.1 Dataset Index
10.6084/m9.figshare.5968960.v12018

Single-cell RNA-seq data from microfluidic emulsion (v2)

Gene-count files and metadata files for single cells from different organs of mice processed on the 10X Genomics Platform. The counts are given using the .mtx file output by the CellRanger program, with one folder per run.
Includes data for 422,803 droplets, 55,656 of which passed a QC cutoff of 500 genes and 1000 UMI.
Cell annotations using the Cell Ontology [1] controlled vocabulary are in a separate csv.
[1] http://purl.obolibrary.org/obo/cl.owl
Why it's different from the previous version (https://figshare.com/account/projects/27733/articles/5715025):Renamed tissues for nomenclature standards: "Colon" --> "Large_Intestine" "Heart" --> "Heart_and_Aorta" "Muscle" --> "Limb_Muscle" "Mammary" --> "Mammary_Gland" "Brain_Microglia" --> "Brain_Myeloid" "Brain_Non-microglia" --> "Brain_Non-Myeloid"Update 2018-03-28: Uploaded resubmitted annotations, with within-tissue (organ) tSNE coordinates

Authors

  • Botvinnik, Olga ;
  • Webber, James ;
  • Batson, Joshua
4 Citations0 Mentions85% FAIR1.6 Dataset Index
10.6084/m9.figshare.5968960.v22018

Single-cell RNA-seq data from microfluidic emulsion (v2)

Gene-count files and metadata files for single cells from different organs of mice processed on the 10X Genomics Platform. The counts are given using the .mtx file output by the CellRanger program, with one folder per run.
Includes data for 422,803 droplets, 55,656 of which passed a QC cutoff of 500 genes and 1000 UMI.
Cell annotations using the Cell Ontology [1] controlled vocabulary are in a separate csv.
[1] http://purl.obolibrary.org/obo/cl.owl
Update 2018-09-20: Updated Annotations to latest version
Why it's different from the previous version (https://figshare.com/account/projects/27733/articles/5715025):Renamed tissues for nomenclature standards: "Colon" --> "Large_Intestine" "Heart" --> "Heart_and_Aorta" "Muscle" --> "Limb_Muscle" "Mammary" --> "Mammary_Gland" "Brain_Microglia" --> "Brain_Myeloid" "Brain_Non-microglia" --> "Brain_Non-Myeloid"Update 2018-03-28: Uploaded resubmitted annotations, with within-tissue (organ) tSNE coordinates

Authors

  • Botvinnik, Olga ;
  • Webber, James ;
  • Batson, Joshua ;
  • Pisco, Angela
3 Citations0 Mentions85% FAIR1.7 Dataset Index
10.6084/m9.figshare.5968960.v32018

How to get free money (aka, why social media is an important part of your graduate school game)

Presentation aimed for bioinformatics gradaute students about how to have an online presence and get free money.

Authors

  • Botvinnik, Olga
0 Citations0 Mentions85% FAIR0.3 Dataset Index
10.6084/m9.figshare.11844312014

How to get free money (aka, why social media is an important part of your graduate school game)

Presentation aimed for bioinformatics gradaute students about how to have an online presence and get free money.

Authors

  • Botvinnik, Olga
0 Citations0 Mentions85% FAIR0.3 Dataset Index
10.6084/m9.figshare.1184431.v12014