Evidence map›Paper›PMID 37032966›Full record

ArticleJournal of applied crystallography2023

Nicola Corriero, Rosanna Rizzi, Gaetano Settembre, Nicoletta Del Buono, Domenico Diacono

Abstract read
In one paragraph

Article in Journal of applied crystallography, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. GraPhAI: Neural Networks for Solving Centrosymmetric Crystal Structures.Journal of the American Chemical Society · 2026
    Article
  2. Automation of Rietveld refinement through machine learning.Journal of applied crystallography · 2026
    Article
  3. On artificial crystal structure generation for solving the phase problem with deep learning.Acta crystallographica. Section A, Foundations and advances · 2026
    Article
  4. Article
  5. Article
  6. Accurate space-group prediction from composition.Journal of applied crystallography · 2024
    Article
  7. Introduction to the virtual collection of papers onJournal of applied crystallography · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Nicola CorrieroInstitute of Crystallography, CNR, Bari, Italy.ORCID https://orcid.org/0000-0002-9669-7476
Rosanna RizziInstitute of Crystallography, CNR, Bari, Italy.ORCID https://orcid.org/0000-0002-3058-5930
Gaetano SettembreDepartment of Mathematics, University of Bari Aldo Moro, Bari, Italy.ORCID https://orcid.org/0000-0002-0592-8575
Nicoletta Del BuonoDepartment of Mathematics, University of Bari Aldo Moro, Bari, Italy.ORCID https://orcid.org/0000-0001-5079-875X
Domenico DiaconoNational Institute for Nuclear Physics, Bari, Italy.ORCID https://orcid.org/0000-0002-8060-5805

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Determination of the crystal system and space group is the first step of crystal structure analysis. Often this turns out to be a bottleneck in the material characterization workflow for polycrystalline compounds, thus requiring manual interventions. This work proposes a new machine-learning (ML)-based web platform,

Indexed as

crystal system determinationmachine learning web platformX-ray diffraction

Identifiers

PMID37032966
PMCPMC10077848

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.