Canfam_GSD: De novo chromosome-length genome assembly of the German Shepherd Dog (Canis lupus familiaris) using a combination of long reads, optical mapping, and Hi-C is a dataset published in GigaScience (2020). On theSindex it has a DataRank of 1.8, placing it in the top 11.4% of the data-sharing corpus. It has been cited 70 times, with 50 citing works in its 1-hop citation network.
Ranks in the top 11% for downstream scientific impact
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.639
From this paper's citation signal
Citation Network Contribution
1.2
From 39 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 50 citers.
National Science Foundation
Grant: PHY1427654
Welch Foundation
Grant: Q-1866
U.S. Department of Agriculture
Grant: 2017–05741
National Institutes of Health
Grant: U01HL130010
National Institutes of Health
Grant: UM1HG009375
Australian Research Council
Grant: LE150100031
FWCI
7.69
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Supporting data for "Canfam_GSD: De novo chromosome-length genome assembly of the German Shepherd Dog (Canis lupus familiaris) using a combination of long reads, optical mapping and Hi-C"
Peer review of "Canfam_GSD: De novo chromosome-length genome assembly of the German Shepherd Dog (Canis lupus familiaris) using a combination of long reads, optical mapping, and Hi-C"
Peer review of "Canfam_GSD: De novo chromosome-length genome assembly of the German Shepherd Dog (Canis lupus familiaris) using a combination of long reads, optical mapping, and Hi-C"
Peer review of "Canfam_GSD: De novo chromosome-length genome assembly of the German Shepherd Dog (Canis lupus familiaris) using a combination of long reads, optical mapping, and Hi-C"