Evidence map›Paper›PMID 36131739›Full record

ReviewNanoscale advances2021

Advances in the electron diffraction characterization of atomic clusters and nanoparticles.

Arturo Ponce, Jeffery A Aguilar, Jess Tate, Miguel José Yacamán

Abstract readReview
In one paragraph

Review in Nanoscale advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Cu-FeACS omega · 2025
    Article
  4. Article
  5. Article
  6. Inhibition of Quorum Sensing and Virulence Factors ofAntibiotics (Basel, Switzerland) · 2021
    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

4 authors.

Arturo PonceDepartment of Physics and Astronomy, The University of Texas at San Antonio San Antonio Texas 78249 USA.ORCID https://orcid.org/0000-0001-5529-6468
Jeffery A AguilarIdaho National Laboratory, Nuclear Science and Technology Division Idaho Falls Idaho 83415 USA.ORCID https://orcid.org/0000-0001-6101-4762
Jess TateUniversity of Utah, Scientific Computing Imaging Institute, Department of Electrical and Computer Engineering Salt Lake City Utah USA.
Miguel José YacamánDepartment of Applied Physics and Materials Science, Center for Materials Interfaces in Research and Applications, Northern Arizona University Flagstaff AZ USA Miguel.Yacaman@nau.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanoparticles and metallic clusters continue to make a remarkable impact on novel and emerging technologies. In recent years, there have been impressive advances in the controlled synthesis of clusters and their advanced characterization. One of the most common ways to determine the structures of nanoparticles and clusters is by means of X-ray diffraction methods. However, this requires the clusters to crystallize in a similar way to those used in protein studies, which is not possible in many cases. Novel methods based on electron diffraction have been used to efficiently study individual nanoparticles and clusters and these can overcome the obstacles commonly encountered during X-ray diffraction methods without the need for large crystals. These novel methodologies have improved with advances in electron microscopy instrumentation and electron detection. Here, we review advanced methodologies for characterizing metallic nanoparticles and clusters using a variety of electron diffraction procedures. These include selected area electron diffraction, nanobeam diffraction, coherent electron diffraction, precession electron diffraction, scanning transmission electron microcopy diffraction, and high throughput data analytics, which leverage deep learning to reduce the propensity for data errors and translate nanometer and atomic scale measurements into material data.

Identifiers

PMID36131739
PMCPMC9417509

What OpenQuestion holds

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LicenceCC BY-NC
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.