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On the use of the merging R factor as a quality indicator for X-ray data
Abstract
By comparison of the accuracy and the merging R factor (Rmerge) of artificially created X-ray data sets, it is demonstrated that Rmerge is a poor predictor for the precision of X-ray data. The more often a given reflection is observed, the more precise the average intensity is, whereas Rmerge has a tendency to be higher at higher data redundancy.
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Metadata
- Authors
- Weiss, M. S., & Hilgenfeld, R.
- Venue
- Journal of Applied Crystallography
- Published
- 1997-04-01
- Volume
- 30
- Issue
- 2
- Pages
- 203-205
- ISSN
- 0021-8898 (ISSN-L)
- OpenAlex
- W2046372352
- Cited by
- 223
- References
- 0
- FWCI
- 3.59
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: On the use of the merging R factor as a quality indicator for X-ray data. https://app.cochat.ai/papers/10.1107/s0021889897003907
- The paper
- Weiss, M. S., & Hilgenfeld, R. (1997). On the use of the merging R factor as a quality indicator for X-ray data. Journal of Applied Crystallography. https://doi.org/10.1107/s0021889897003907
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
