Evidence map›Paper›PMID 34085051›Full record

ArticleJournal of magnetic resonance open2021

Reimagining magnetic resonance instrumentation using open maker tools and hardware as protocol.

Jessica I Kelz, Jose L Uribe, Rachel W Martin

Abstract read
In one paragraph

Article in Journal of magnetic resonance open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. A complete 3D-printed tool kit for Solid-State NMR sample and rotor handling.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2024
    Article
  3. Article
  4. 3D-Printable centrifugal devices for biomolecular solid state NMR rotors.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2023
    Article
  5. Article
  6. Review
  7. Article
  8. A 3D Printer in the Lab: Not Only a Toy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Review
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

3 authors.

Jessica I KelzDepartment of Chemistry, University of California, Irvine 92697-2025.
Jose L UribeDepartment of Chemistry, University of California, Irvine 92697-2025.
Rachel W MartinDepartment of Chemistry, University of California, Irvine 92697-2025.

Funding

Solid-state NMR methods for investigating native and aggregated eye lens proteinsR01EY021514 · NEI · UNIVERSITY OF CALIFORNIA-IRVINE · PI MARTIN, RACHEL WAGNER · 2011 to 2022
$2.8M
Training Program in Chemical and Structural BiologyT32GM108561 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI POULOS, THOMAS L, TOBIAS, DOUGLAS J · 2014 to 2018
$860k
NEI NIH HHS R01 EY021514NIGMS NIH HHS T32 GM108561
6 · The paper itself

Abstract

Over the course of its history, the field of nuclear magnetic resonance spectroscopy has been characterized by alternating periods of intensive instrumentation development and rapid expansion into new chemical application areas. NMR is now both a mainstay of routine analysis for laboratories at all levels of education and research. On the other hand, new instrumentation and methodological advances promise expanded functionality in the future. At the core of this success is a community fundamentally dedicated to sharing ideas and collaborative advancements, as exemplified by the extensive remixing and repurposing of pulse sequences. Recent progress in modularity, automation, and 3D printing have reignited the tinkering spirit and demonstrate great promise to mature into a maker space that will enable similarly facile sharing of new applications and broader access to magnetic resonance.

Indexed as

3D printingautomationdesign modularityNMR instrumentationshared innovation

Identifiers

PMID34085051
PMCPMC8171197

What OpenQuestion holds

Textmetadata
LicenceTDM
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.