Single-cell ATAC-seq of fetal human retina and stem-cell-derived retinal organoids shows changing chromatin landscapes during cell fate acquisition is a research paper published in Cell Reports (2022). On theSindex it has a DataRank of 0.691. It has been cited 99 times.
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DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
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Base Score Contribution
0.691
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →Generalitat Valenciana
Grant: APOSTD/2020/245
Foundation Fighting Blindness Inc
Grant: FFB TA-RM-0620-0788-UWA
The Paul G Allen Frontiers Group
Foundation Fighting Blindness
FWCI
6.98
Citation Percentile
1.0%
Influential Citations
1
Citation Trend
Fields of Study
MeSH Terms
Keywords
Additional file 1 of scTour: a deep learning architecture for robust inference and accurate prediction of cellular dynamics
Additional file 1 of scTour: a deep learning architecture for robust inference and accurate prediction of cellular dynamics
Additional file 5 of scTour: a deep learning architecture for robust inference and accurate prediction of cellular dynamics
Additional file 5 of scTour: a deep learning architecture for robust inference and accurate prediction of cellular dynamics
Additional file 4 of scTour: a deep learning architecture for robust inference and accurate prediction of cellular dynamics
Additional file 4 of scTour: a deep learning architecture for robust inference and accurate prediction of cellular dynamics
Additional file 2 of scTour: a deep learning architecture for robust inference and accurate prediction of cellular dynamics
Additional file 3 of scTour: a deep learning architecture for robust inference and accurate prediction of cellular dynamics
Additional file 2 of scTour: a deep learning architecture for robust inference and accurate prediction of cellular dynamics
Additional file 3 of scTour: a deep learning architecture for robust inference and accurate prediction of cellular dynamics