TriTrypDB: An integrated functional genomics resource for kinetoplastida is a dataset published in PLoS neglected tropical diseases (2023). On theSindex it has a DataRank of 2.0, placing it in the top 10.6% of the data-sharing corpus. It has been cited 118 times, with 100 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
0.717
From this paper's citation signal
Citation Network Contribution
1.3
From 72 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 100 citers.
Division of Microbiology and Infectious Diseases, National Institute of Allergy and Infectious Diseases
Grant: 75N93019C00077
Wellcome Trust
Grant: 218288/Z/19/Z
Wellcome Trust
Grant: 212929/Z/18/Z
Wellcome Trust
MeSH Terms
Additional file 2 of Prioritization of Trypanosoma brucei editosome protein interactions interfaces at residue resolution through proteome-scale network analysis
Additional file 3 of Prioritization of Trypanosoma brucei editosome protein interactions interfaces at residue resolution through proteome-scale network analysis
Additional file 1 of Prioritization of Trypanosoma brucei editosome protein interactions interfaces at residue resolution through proteome-scale network analysis
Additional file 1 of Prioritization of Trypanosoma brucei editosome protein interactions interfaces at residue resolution through proteome-scale network analysis
Additional file 2 of Prioritization of Trypanosoma brucei editosome protein interactions interfaces at residue resolution through proteome-scale network analysis
Additional file 3 of Prioritization of Trypanosoma brucei editosome protein interactions interfaces at residue resolution through proteome-scale network analysis