Evidence map›Paper›PMID 33494391›Full record

ArticlePolymers2021

Magnetorheological Response for Magnetic Elastomers Containing Carbonyl Iron Particles Coated with Poly(methyl methacrylate).

Daichi Takahashi, Annadanam Venkata Sesha Sainath, Junko Ikeda, Kulisara Budpud, Tatsuo Kaneko, Mika Kawai, Tetsu Mitsumata

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Polymers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 31% 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, 8 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 3 institutions in 2 countries.

Daichi TakahashiGraduate School of Science and Technology, Niigata University, Niigata 950-2181, Japan.
Annadanam Venkata Sesha SainathFluoro-Agrochemicals, Polymers and Functional Materials Department, CSIR-Indian Institute of Chemical Technology, Hyderabad -500 007, India.ORCID 0000-0001-5957-8200
Junko IkedaGraduate School of Science and Technology, Niigata University, Niigata 950-2181, Japan.
Kulisara BudpudGraduate School of Advanced Science and Technology, Japan Advanced Institute of Science and Technology, Nomi 923-1292, Japan.
Tatsuo KanekoGraduate School of Advanced Science and Technology, Japan Advanced Institute of Science and Technology, Nomi 923-1292, Japan.ORCID 0000-0001-9794-083X
Mika KawaiGraduate School of Science and Technology, Niigata University, Niigata 950-2181, Japan.
Tetsu MitsumataGraduate School of Science and Technology, Niigata University, Niigata 950-2181, Japan.ORCID 0000-0002-1355-6775
Niigata University · JPJapan Advanced Institute of Science and Technology · JPIndian Institute of Chemical Technology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The magnetorheological response for magnetic elastomers containing carbonyl iron (CI) particles with a diameter of 6.7 μm coated with poly(methyl methacrylate) (PMMA) was investigated to estimate the diameter of secondary particles from the amplitude of magnetorheological response. Fourier-transformed infrared spectroscopy revealed that the CI particles were coated with PMMA, and the thickness of the PMMA layer was determined to be 71 nm by density measurement. The change in the storage modulus for magnetic elastomers decreased by coating and it was scaled by the number density of CI particles as Δ

Indexed as

magnetic elastomersoft materialstimuli-responsive gel

Identifiers

PMID33494391
PMCPMC7865952
OpenAlexW3123262344

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.