Evidence map›Paper›PMID 37751570›Full record

ArticleJournal of chemical information and modeling2023

Augmented Reality for Enhanced Visualization of MOF Adsorbents.

Lawson T Glasby, Rama Oktavian, Kewei Zhu, Joan L Cordiner, Jason C Cole, Peyman Z Moghadam

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Interactive 3D Objects Enhance Scientific Communication of Structural Data.Chembiochem : a European journal of chemical biology · 2025
    Review
  2. 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

6 authors.

Lawson T GlasbyDepartment of Chemical and Biological Engineering, The University of Sheffield, Sheffield, S1 3JD, United Kingdom.
Rama OktavianDepartment of Chemical and Biological Engineering, The University of Sheffield, Sheffield, S1 3JD, United Kingdom.
Kewei ZhuDepartment of Chemical Engineering, University College London, London, WC1E 7JE, United Kingdom.
Joan L CordinerDepartment of Chemical and Biological Engineering, The University of Sheffield, Sheffield, S1 3JD, United Kingdom.
Jason C ColeCambridge Crystallographic Data Centre, Cambridge, CB2 1EZ, United Kingdom.ORCID 0000-0002-0291-6317
Peyman Z MoghadamDepartment of Chemical Engineering, University College London, London, WC1E 7JE, United Kingdom.ORCID 0000-0002-1592-0139

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Augmented reality (AR) is an emerging technique used to improve visualization and comprehension of complex 3D materials. This approach has been applied not only in the field of chemistry but also in real estate, physics, mechanical engineering, and many other areas. Here, we demonstrate the workflow for an app-free AR technique for visualization of metal-organic frameworks (MOFs) and other porous materials to investigate their crystal structures, topology, and gas adsorption sites. We think this workflow will serve as an additional tool for computational and experimental scientists working in the field for both research and educational purposes.

Indexed as

Augmented RealityMetal-Organic FrameworksAdsorptionModels, MolecularPorosityMetal-Organic Frameworks

Identifiers

PMID37751570
PMCPMC10565814

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.