Describing Lettuce Growth Using Morphological Features Combined with Nonlinear Models is a research paper published in Agronomy (2022). On theSindex it has a DataRank of 1.0. It has been cited 25 times, with 25 citing works in its 1-hop citation network.
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
0.489
From this paper's citation signal
Citation Network Contribution
0.520
From 17 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 25 citers.
Project of Faculty of Agricultural Equipment of Jiangsu University
Grant: NZXB20200203
National Natural Science Foundation of China
Grant: 61771224
Open Fund of the Ministry of Education Key Laboratory of Modern Agricultural Equipment and Technology
Grant: JNZ201903
Hightech Key Laboratory of Agricultural Equipment and Intelligence of Jiangsu Province
Grant: MAET202111
FWCI
4.09
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals