GrEDeL: A Knowledge Graph Embedding Based Method for Drug Discovery From Biomedical Literatures is a research paper published in IEEE Access (2019). On theSindex it has a DataRank of 0.598. It has been cited 53 times.
Scored on demand from live citation data
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
0.598
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 →National Key Research and Development Program of China
Grant: 2016YFC0901902
National Natural Science Foundation of China
Grant: 61272373
National Natural Science Foundation of China
Grant: 61572102
National Natural Science Foundation of China
Grant: 61572098
Trans-Century Training Program Foundation for the Talents by the Ministry of Education of China
Grant: NCET-13-0084