Plant phenomics and high-throughput phenotyping: accelerating rice functional genomics using multidisciplinary technologies is a research paper published in Current Opinion in Plant Biology (2013). On theSindex it has a DataRank of 0.844. It has been cited 277 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.
Base Score Contribution
0.844
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 Program on High Technology Development
Grant: 2012AA10A303
National Program for Basic Research of China
Grant: 2012CB114305
National Natural Science Foundation of China
Grant: 30921091
National Natural Science Foundation of China
Grant: 31200274
Program for New Century Excellent Talents in University
Grant: NCET-10-0386
MeSH Terms
Additional file 5 of A data workflow to support plant breeding decisions from a terrestrial field-based high-throughput plant phenotyping system
Additional file 5 of A data workflow to support plant breeding decisions from a terrestrial field-based high-throughput plant phenotyping system
Additional file 10 of Deep learning based high-throughput phenotyping of chalkiness in rice exposed to high night temperature
Additional file 10 of Deep learning based high-throughput phenotyping of chalkiness in rice exposed to high night temperature
Additional file 11 of Deep learning based high-throughput phenotyping of chalkiness in rice exposed to high night temperature
Additional file 11 of Deep learning based high-throughput phenotyping of chalkiness in rice exposed to high night temperature
Additional file 12 of Deep learning based high-throughput phenotyping of chalkiness in rice exposed to high night temperature
Additional file 12 of Deep learning based high-throughput phenotyping of chalkiness in rice exposed to high night temperature
Additional file 1 of Deep learning based high-throughput phenotyping of chalkiness in rice exposed to high night temperature
Additional file 1 of Deep learning based high-throughput phenotyping of chalkiness in rice exposed to high night temperature
Additional file 2 of Deep learning based high-throughput phenotyping of chalkiness in rice exposed to high night temperature
Additional file 2 of Deep learning based high-throughput phenotyping of chalkiness in rice exposed to high night temperature
Additional file 3 of Deep learning based high-throughput phenotyping of chalkiness in rice exposed to high night temperature
Additional file 3 of Deep learning based high-throughput phenotyping of chalkiness in rice exposed to high night temperature
Additional file 4 of Deep learning based high-throughput phenotyping of chalkiness in rice exposed to high night temperature
Additional file 4 of Deep learning based high-throughput phenotyping of chalkiness in rice exposed to high night temperature
Additional file 5 of Deep learning based high-throughput phenotyping of chalkiness in rice exposed to high night temperature
Additional file 5 of Deep learning based high-throughput phenotyping of chalkiness in rice exposed to high night temperature
Additional file 6 of Deep learning based high-throughput phenotyping of chalkiness in rice exposed to high night temperature
Additional file 6 of Deep learning based high-throughput phenotyping of chalkiness in rice exposed to high night temperature