Evidence map›Paper›PMID 31941163›Full record

ReviewPolymers2020

Nanoparticles Functionalized by Conducting Polymers and Their Electrorheological and Magnetorheological Applications.

Yu Zhen Dong, Kisuk Choi, Seung Hyuk Kwon, Jae-Do Nam, Hyoung Jin Choi

Abstract readReview
In one paragraph

Review in Polymers, 2020. 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. Review
  2. Review
  3. Article
  4. Advances in the Use of Conducting Polymers for Healthcare Monitoring.International journal of molecular sciences · 2024
    Review
  5. Article
  6. Hollow TiONanomaterials (Basel, Switzerland) · 2022
    Article
  7. Article
  8. 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.

Yu Zhen DongDepartment of Polymer Science and Engineering, Inha University, Incheon 22212, Korea.ORCID 0000-0002-2191-3357
Kisuk ChoiDepartment of Polymer Science and Engineering, Sungkyunkwan University, Suwon 16419, Korea.
Seung Hyuk KwonDepartment of Polymer Science and Engineering, Inha University, Incheon 22212, Korea.
Jae-Do NamDepartment of Polymer Science and Engineering, Sungkyunkwan University, Suwon 16419, Korea.
Hyoung Jin ChoiDepartment of Polymer Science and Engineering, Inha University, Incheon 22212, Korea.ORCID 0000-0001-6915-4882

Funding

National Research Foundation of Korea 2018R1A4A1025169
6 · The paper itself

Abstract

Conducting polymer-coated nanoparticles used in electrorheological (ER) and magnetorheological (MR) fluids are reviewed along with their fabrication methods, morphologies, thermal properties, sedimentation stabilities, dielectric properties, and ER and MR characteristics under applied electric or magnetic fields. After functionalization of the conducting polymers, the nanoparticles exhibited properties suitable for use as ER materials, and materials in which magnetic particles are used as a core could also be applied as MR materials. The conducting polymers covered in this study included polyaniline and its derivatives, poly(3,4-ethylenedioxythiophene), poly(3-octylthiophene), polypyrrole, and poly(diphenylamine). The modified nanoparticles included polystyrene, poly(methyl methacrylate), silica, titanium dioxide, maghemite, magnetite, and nanoclay. This article reviews many core-shell structured conducting polymer-coated nanoparticles used in ER and MR fluids and is expected to contribute to the understanding and development of ER and MR materials.

Indexed as

conducting polymerelectrorheologicalmagnetorheologicalnanoparticle

Identifiers

PMID31941163
PMCPMC7023545

What OpenQuestion holds

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LicenceCC BY
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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.