Enabling Technologies for Personalized and Precision Medicine is a research paper published in Trends in biotechnology (2020). On theSindex it has a DataRank of 0. It has been cited 494 times.
Scored on demand from live citation data
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.
NIDDK NIH HHS
Grant: K08 DK113244
NHLBI NIH HHS
Grant: P01 HL108797
NIAID NIH HHS
Grant: U19 AI057229
Wallace H. Coulter Foundation
Ministry of Education - Singapore
National Institutes of Health
National Research Foundation Singapore
V Foundation for Cancer Research
FWCI
13.55
Citation Percentile
1.0%
Influential Citations
9
Citation Trend
Fields of Study
MeSH Terms
Keywords
Additional file 1 of Golgi-apparatus genes related signature for predicting the progression-free interval of patients with papillary thyroid carcinoma
Additional file 1 of Golgi-apparatus genes related signature for predicting the progression-free interval of patients with papillary thyroid carcinoma
Additional file 2 of Golgi-apparatus genes related signature for predicting the progression-free interval of patients with papillary thyroid carcinoma
Additional file 2 of Golgi-apparatus genes related signature for predicting the progression-free interval of patients with papillary thyroid carcinoma
Additional file 1 of A machine learning-based model for a dose point kernel calculation
Additional file 1 of A machine learning-based model for a dose point kernel calculation
Additional file 3 of BMC3PM: bioinformatics multidrug combination protocol for personalized precision medicine and its application in cancer treatment
Additional file 3 of BMC3PM: bioinformatics multidrug combination protocol for personalized precision medicine and its application in cancer treatment
Additional file 1 of BMC3PM: bioinformatics multidrug combination protocol for personalized precision medicine and its application in cancer treatment
Additional file 4 of BMC3PM: bioinformatics multidrug combination protocol for personalized precision medicine and its application in cancer treatment
Additional file 1 of BMC3PM: bioinformatics multidrug combination protocol for personalized precision medicine and its application in cancer treatment
Additional file 2 of BMC3PM: bioinformatics multidrug combination protocol for personalized precision medicine and its application in cancer treatment
Additional file 2 of BMC3PM: bioinformatics multidrug combination protocol for personalized precision medicine and its application in cancer treatment
Additional file 4 of BMC3PM: bioinformatics multidrug combination protocol for personalized precision medicine and its application in cancer treatment
Additional file 1 of Small extracellular vesicles from menstrual blood-derived mesenchymal stem cells (MenSCs) as a novel therapeutic impetus in regenerative medicine
Additional file 1 of Small extracellular vesicles from menstrual blood-derived mesenchymal stem cells (MenSCs) as a novel therapeutic impetus in regenerative medicine
Additional file 4 of Golgi-apparatus genes related signature for predicting the progression-free interval of patients with papillary thyroid carcinoma
Additional file 3 of Golgi-apparatus genes related signature for predicting the progression-free interval of patients with papillary thyroid carcinoma
Additional file 3 of Golgi-apparatus genes related signature for predicting the progression-free interval of patients with papillary thyroid carcinoma
Additional file 4 of Golgi-apparatus genes related signature for predicting the progression-free interval of patients with papillary thyroid carcinoma