A simple method for calculating reliable atomic charges in large molecules is a research paper published in Journal of Computational Chemistry (1988). On theSindex it has a DataRank of 0.862. It has been cited 11 times, with 10 citing works in its 1-hop citation network.
AbstractModifications are made to a previously developed scheme for calculating atomic charge which uses orbital electronegativity and which requires minimal calculational effort. The introduced changes are a result of deficiencies noted in the earlier method which were due to an inadequate accounting of effects from neighboring atom charges. Results obtained using the modified scheme for both model compounds as well as larger molecules of interest to biochemistry are compared to previous results and also to several levels of ab initio calculations. It is shown that a definite improvement is obtained and that the present method gives very good correlations with each calculational level. Comparisons are also made with other methods that use electronegativity theory. It is shown that the present scheme represents a definite improvement over alternate orbital electronegativity methods and is roughly comparable to a higher level scheme that utilizes atomic electronegativity values. A discussion comparing the latter method with the present one is included. Because of the small amount of calculational effort involved, the results indicate that the present method could be quite useful in providing reliable atomic charges for large molecular systems.
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Base Score Contribution
0.373
From this paper's citation signal
Citation Network Contribution
0.489
From 9 citing papers with measurable signal
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 43% comes from its base citations and 57% from the citation network (9 citing papers contributed measurable signal).
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.
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