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{"references": ["Blum, L. C. & Reymond, J.-L. 970 million druglike small molecules for virtual screening in the chemical universe database GDB-13. JACS, 2009, 131, 8732-8733. https://pubs.acs.org/doi/abs/10.1021/ja902302h", "Rupp, M.; Tkatchenko, A.; M\u00fcller, K.-R. & von Lilienfeld, O. A. Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning. Phys. Rev. Lett., 2012, 108, 058301. https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.108.058301"]}
Data curated by the QCArchive team, originally sourced from qmml.org and quantum-machine.org. Small organic molecules with up to 7 heavy atoms, sampled from GDB-13 and optimized at the PBE0 level of theory. All molecules are neutral singlets. For more information, see http://qcarchive.molssi.org/apps/ml_datasets/.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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