A statistic for local intensity differences: robustness to anisotropy and pseudo-centering and utility for detecting twinning.

By Jennifer E. Padilla, Todd O. Yeates. 2003

247 citations recorded by the source corpus.

Subfields: Materials Chemistry, Molecular Biology, Spectroscopy

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Materials Chemistry

1. Paul D. Adams
2. Pavel V. Afonine
3. Randy J. Read
4. T. C. Terwilliger
5. T. Croll
6. Nigel W. Moriarty
7. A. McCoy
8. Jane S. Richardson

In Molecular Biology

1. Paul D. Adams
2. Randy J. Read
3. Pavel V. Afonine
4. T. C. Terwilliger
5. T. Croll
6. Nigel W. Moriarty
7. Jane S. Richardson
8. A. McCoy

In Spectroscopy

1. Paul D. Adams
2. T. C. Terwilliger
3. Pavel V. Afonine
4. A. McCoy
5. G. Bunkoczi
6. R. Oeffner
7. Randy J. Read
8. Anastassis Perrakis

Citations in the corpus

• Macromolecular structure determination using X-rays, neutrons and electrons: recent developments in Phenix (2019, methodology): “To detect twinning, the tool examines amplitude and intensity ratios, |E2 1| values, the L-statistic (Padilla & Yeates, 2003) and N(Z) plots (Howells et al., 1950).”
• A New Generation of Crystallographic Validation Tools for the Protein Data Bank (2011, background): “A number of tests have been developed to detect possible twinning from the distributions of intensities (Yeates, 1997; Padilla and Yeates, 2003).”
• Macromolecular crystal twinning, lattice disorders and multiple crystals (2008, background): “Other statistical tests, including one that is more robust to the confounding effects of diffraction anisotropy (29), have also been developed.”