Evidence map›Paper›PMID 35295972›Full record

ReviewFrontiers in chemistry2022

Detection Methods of Nanoparticles Synthesized by Gas-Phase Method: A Review.

Xiushuo Zhang, Xiaolong Zhao, Hongsheng Li, Xiaorui Hao, Jing Xu, Jingjing Tian, Yong Wang

Erratum issuedOpen access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Frontiers in chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 55% of its field
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, 7 citations in OpenAlex.

  1. Article
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Xiushuo ZhangLaboratory of Optical Detection and Imaging, School of Science, Qingdao University of Technology, Qingdao, China.
Xiaolong ZhaoLaboratory of Optical Detection and Imaging, School of Science, Qingdao University of Technology, Qingdao, China.
Hongsheng LiLaboratory of Optical Detection and Imaging, School of Science, Qingdao University of Technology, Qingdao, China.
Xiaorui HaoLaboratory of Optical Detection and Imaging, School of Science, Qingdao University of Technology, Qingdao, China.
Jing XuLaboratory of Optical Detection and Imaging, School of Science, Qingdao University of Technology, Qingdao, China.
Jingjing TianLaboratory of Optical Detection and Imaging, School of Science, Qingdao University of Technology, Qingdao, China.
Yong WangLaboratory of Optical Detection and Imaging, School of Science, Qingdao University of Technology, Qingdao, China.
Qingdao University of Science and Technology · CNQingdao University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The detection of nanoparticles is the basis of the study of synthesis mechanism, active regulation of the synthesis process, and the study of nanoparticle properties after synthesis. It is significantly meaningful to the academia and engineering industry. Although there are many relevant detection methods at present, each method has its own advantages and disadvantages, and their measurement quantity and application conditions are also different. There is a lack of unified sorting and generalization. In this paper, the significance of detection of nanoparticles synthesized by a gas-phase method is introduced, the development of detection technology is reviewed, and the future is prospected. It is hoped that this paper will provide a reference for the detection of nanoparticles under various conditions and for the development of new detection methods.

Indexed as

detection methodsexpectationgas-phase methodnanoparticlesreview

Identifiers

PMID35295972
PMCPMC8919326
OpenAlexW4214626438

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.