ArticleIUCrJ2025
A survey of crystallographic quality metrics from CIFs in the Cambridge Structural Database.
Article in IUCrJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Are crystal structures getting better? A temporal and elemental analysis of the Cambridge Structural Database.Acta crystallographica. Section C, Structural chemistry · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Cambridge Structural Database (CSD) is a comprehensive repository of over 1.3 million unique crystallographic datasets, compiled from data deposited at the Cambridge Crystallographic Data Centre (CCDC). Given the vast size of this collection, identifying datasets suitable for reuse in a particular area of study is critical. Traditionally, the R factor has been used as an indicator of structure refinement quality; however, numerous additional metrics can provide valuable insights into the refinement and structural model. Some of these metrics have been extracted from data in the deposited Crystallographic Information Files (CIFs) and added to the CSD. This study surveys these selected crystallographic data items and explores the variability in them between different types of structures. Through a statistical analysis of their values, this work aims to assist with the selection of relevant structures for future reuse.
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What OpenQuestion holds
Registered trials
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