Data Quality Metrics Visualization
Data Quality Metrics Visualization is a scholarly method that represents the qualitative characteristics of data through visual means to enable the assessment and communication of data quality indicators within a given dataset.
4
Publications
117
Citations
15
Authors
7
Institutions
Publications per year
2017–2026
3
Parents
4
scruff: an R/Bioconductor package for preprocessing single-cell RNA-sequencing data
Zhe Wang, Junming Hu, W. Evan Johnson et al. · BMC Bioinformatics · 2019 · 32 citations · Full text
1–5 of 4
15
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 15
7
ZHAW Zurich University of Applied Sciences
Winterthur, Switzerland
1 h-index
1 publications
18 citations
Boston University
Boston, United States
1 h-index
4 publications
128 citations

Scania (Sweden)
Södertälje, Sweden
1 h-index
1 publications
39 citations

KTH Royal Institute of Technology
Stockholm, Sweden
1 h-index
2 publications
78 citations

TU Wien
Vienna, Austria
1 h-index
5 publications
140 citations
University of Zurich
Zurich, Switzerland
1 h-index
1 publications
18 citations

University of South Australia
Adelaide, Australia
1 h-index
1 publications
18 citations
European Molecular Biology Laboratory
Heidelberg, Germany
1 publications
14 citations
1–8 of 7
1 publications · 32 citations
1
h-index
1 publications · 18 citations
1
h-index
1 publications · 39 citations
1
h-index
JDIQ · 1 publications · 28 citations
1
h-index
1 publications · 14 citations
1–5