Global Indicators of X-ray Data Quality
By M. Weiss, Rolf Hilgenfeld. 2000
683 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/707fb974e7c7f9191a67cd3e20c70173dfcb589b
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In Biomedical Engineering
In Radiology, Nuclear Medicine and Imaging
Citations in the corpus
- Linking crystallographic model and data quality (2012, neutral): “A further variant, Rpim (5), reports on the expected precision of IðhklÞ and is lower by a factor of 1/ ffiffiffi n p factor compared with Rmeas.”
- How good are my data and what is the resolution? (2013, background): “The multiplicityweighted Rmeas is an improvement over Rmerge, as it is relatively insensitive to data multiplicity (Diederichs & Karplus, 1997; Weiss & Hilgenfeld, 1997; Weiss, 2001), whereas Rmerge tends to increase with increasing multiplicity, even though the averaged intensities are improving.”
- Integration, scaling, space-group assignment and post-refinement (2010, methodology): “A suitable redundancy-independent data quality indicator has been suggested by Diederichs & Karplus (1997) and Weiss (2001), R meas R r : i : m : ¼ P hl n h n h (cid:2) 1 1 = 2 j I hl (cid:2) I h j P hl I hl : The subscript h represents the unique reflection indices and hl denotes any of the n h…”
- Choice of data-collection parameters based on statistic modelling. (2003, background): “Simple approximate relationships between the different statistical characteristics are applicable (Diederichs & Karplus, 1999; Weiss, 2001).”
- On the routine use of soft X-rays in macromolecular crystallography. Part IV. Efficient determination of anomalous substructures in biomacromolecules using longer X-ray wavelengths. (2007, methodology): “Furthermore, all of the data sets exhibit a significant anomalous signal, which is manifested in the values of Ranom and the ratio Ranom/Rp.i.m. (Table 1).”
- Comparison of silver and molybdenum microfocus X-ray sources for single-crystal structure determination (2015, background): “Despite this, the Rr.i.m. and Rp.i.m. values after correction (red lines in Fig.”
- Structure validation in chemical crystallography (2009, neutral): “Improved multiplicityweighted R factors have been suggested by Diederichs & Karplus (1997), Weiss & Hilgenfeld (1997) and Weiss (2001).”