Assessment of vector-host-pathogen relationships using data mining and machine learning is a research paper published in Computational and Structural Biotechnology Journal (2020). On theSindex it has a DataRank of 0. It has been cited 49 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.
Office of Experimental Program to Stimulate Competitive Research
Grant: OIA-1849206
National Institutes of Health
Grant: P20GM103443
National Institutes of Health
Grant: 3P20GM103443-22S1
Accelerated aging in late onset Alzheimer’s Disease
National Science Foundation
Grant: 1849206
RII Track-1: Building on The 2020 Vision: Expanding Research, Education and Innovation in South Dakota
National Science Foundation
National Institute of General Medical Sciences
FWCI
0.63
Citation Percentile
0.8%
Influential Citations
1
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals
Additional file 2 of Machine learning approach as an early warning system to prevent foodborne Salmonella outbreaks in northwestern Italy
Additional file 2 of Machine learning approach as an early warning system to prevent foodborne Salmonella outbreaks in northwestern Italy
Additional file 3 of Machine learning approach as an early warning system to prevent foodborne Salmonella outbreaks in northwestern Italy
Additional file 3 of Machine learning approach as an early warning system to prevent foodborne Salmonella outbreaks in northwestern Italy
Additional file 4 of Machine learning approach as an early warning system to prevent foodborne Salmonella outbreaks in northwestern Italy
Additional file 4 of Machine learning approach as an early warning system to prevent foodborne Salmonella outbreaks in northwestern Italy
Additional file 1 of Machine learning approach as an early warning system to prevent foodborne Salmonella outbreaks in northwestern Italy
Additional file 1 of Machine learning approach as an early warning system to prevent foodborne Salmonella outbreaks in northwestern Italy