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Cited by 5,091

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Mercury 4.0: from visualization to analysis, design and prediction

Open access
Macrae, Clare F., Sovago, Ioana, Cottrell, Simon J., Galek, Peter T. A., McCabe, Patrick, Pidcock, Elna, Platings, Michael, Shields, Greg P., Stevens, Joanna S., Towler, Matthew, Wood, Peter A.·2020·Journal of Applied Crystallography

Abstract

The program Mercury, developed at the Cambridge Crystallographic Data Centre, was originally designed primarily as a crystal structure visualization tool. Over the years the fields and scientific communities of chemical crystallography and crystal engineering have developed to require more advanced structural analysis software. Mercury has evolved alongside these scientific communities and is now a powerful analysis, design and prediction platform which goes a lot further than simple structure visualization.

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Crossref · 10.1107/s1600576719014092

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Metadata

Authors
Macrae, C. F., Sovago, I., Cottrell, S. J., Galek, P. T. A., McCabe, P., Pidcock, E., Platings, M., Shields, G. P., Stevens, J. S., Towler, M., & Wood, P. A.
Venue
Journal of Applied Crystallography
Published
2020-02-01
Volume
53
Issue
1
Pages
226-235
ISSN
  • 0021-8898 (ISSN-L)
  • 1600-5767
OpenAlex
W2991188715
Cited by
5,091
References
2
FWCI
152.03
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Mercury 4.0: from visualization to analysis, design and prediction. https://app.cochat.ai/papers/10.1107/s1600576719014092
The paper
Macrae, C. F., Sovago, I., Cottrell, S. J., Galek, P. T. A., McCabe, P., Pidcock, E., Platings, M., Shields, G. P., Stevens, J. S., Towler, M., & Wood, P. A. (2020). Mercury 4.0: from visualization to analysis, design and prediction. Journal of Applied Crystallography. https://doi.org/10.1107/s1600576719014092

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.