Rapid prediction of conformationally-dependent DFT-level descriptors using graph neural networks for carboxylic acids and alkyl amines is a research paper published in Digital Discovery (2024). On theSindex it has a DataRank of 0.564. It has been cited 17 times, with 13 citing works in its 1-hop citation network.
Scored on demand from live citation data
Linked data & code
Repositories this paper deposited data in (declared in PubMed).
DataRank reads this dataset's downstream impact straight off the citation graph β no black box, no proprietary weighting. How is this computed?
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Base Score Contribution
0.434
From this paper's citation signal
Citation Network Contribution
0.131
From 7 citing papers with measurable signal
Ranked by each citer's contribution to N(p) β log1p(Cq) divided by its reference count β out of 13 citers.
National Institute of General Medical Sciences
Grant: R35 GM136271
American Cancer Society
Grant: PF-21-089-01-ET
Office of Advanced Cyberinfrastructure
Grant: CHE180056
Office of Advanced Cyberinfrastructure
Grant: CHE240020
Massachusetts Institute of Technology
University of Utah
Lincoln Laboratory, Massachusetts Institute of Technology
Anschutz Medical Campus, University of Colorado
FWCI
4.61
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords