Evidence map›Paper›PMID 37186541›Full record

ArticleJournal of chemical education2023

App-Free Method for Visualization of Polymers in 3D and Augmented Reality.

Hootan Roshandel, Matthew Shammami, Shiyun Lin, Yin-Pok Wong, Paula L Diaconescu

Abstract read
In one paragraph

Article in Journal of chemical education, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Augmented Reality for Enhanced Visualization of MOF Adsorbents.Journal of chemical information and modeling · 2023
    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.

Hootan RoshandelDepartment of Chemistry and Biochemistry, University of California, Los Angeles, California 90095, United States.
Matthew ShammamiDepartment of Chemistry and Biochemistry, University of California, Los Angeles, California 90095, United States.
Shiyun LinDepartment of Chemistry and Biochemistry, University of California, Los Angeles, California 90095, United States.
Yin-Pok WongDepartment of Chemistry and Biochemistry, University of California, Los Angeles, California 90095, United States.
Paula L DiaconescuDepartment of Chemistry and Biochemistry, University of California, Los Angeles, California 90095, United States.ORCID https://orcid.org/0000-0003-2732-4155

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rise of virtual and online education in recent years has led to the development and popularization of many online tools, notably three-dimensional (3D) models and augmented reality (AR), for visualizing various structures in chemical sciences. The majority of the developed tools focus on either small molecules or biological systems, as information regarding their structure can be easily accessed from online databases or obtained through relatively quick calculations. As such, due to a lack of crystallographic and theoretical data available for nonbiological macromolecules, there is a noticeable lack of accessible online tools for the visualization of polymers in 3D. Herein, using a few sample polymers, we showcase a workflow for the generation of 3D models using molecular dynamics and Blender. The 3D structures can then be hosted on p3d.in, where AR models can be generated automatically. Furthermore, the hosted 3D models can then be shared via quick response (QR) codes and used in various settings without the need to download any applications.

Identifiers

PMID37186541
PMCPMC10173869

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.