Evidence map›Paper›PMID 30970621›Full record

ReviewPolymers2019

A Review of Recent Advances in Nanoengineered Polymer Composites.

Vishnu Vijay Kumar, G Balaganesan, Jeremy Kong Yoong Lee, Rasoul Esmaeely Neisiany, S Surendran, Seeram Ramakrishna

Abstract readReview
In one paragraph

Review in Polymers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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  17. Trends inPolymers · 2019
    Article
  18. 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

6 authors.

Vishnu Vijay KumarCentre for Nanofibers and Nanotechnology, Department of Mechanical Engineering, National University of Singapore, Singapore 117575, Singapore. vishnuv36@gmail.com.
G BalaganesanDepartment of Mechanical Engineering, Indian Institute of Technology, Jammu 181221, India. sur@iitm.ac.in.
Jeremy Kong Yoong LeeCentre for Nanofibers and Nanotechnology, Department of Mechanical Engineering, National University of Singapore, Singapore 117575, Singapore. jeremy.lee@lr.org.
Rasoul Esmaeely NeisianyDivision of Materials Science, Luleå University of Technology, SE-97187 Luleå, Sweden. rasoul.esmaeely@ltu.se.
S SurendranDepartment of Ocean Engineering, Indian Institute of Technology, Madras 600036, India. sur@iitm.ac.in.
Seeram RamakrishnaCentre for Nanofibers and Nanotechnology, Department of Mechanical Engineering, National University of Singapore, Singapore 117575, Singapore. seeram@nus.edu.sg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review paper initially summarizes the latest developments in impact testing on polymer matrix composites collating the various analytical, numerical, and experimental studies performed since the year 2000. Subsequently, the scientific literature investigating nanofiller reinforced polymer composite matrices as well as self-healing polymer matrix composites by incorporating core-shell nanofibers is reviewed in-depth to provide a perspective on some novel advances in nanotechnology that have led to composite developments. Through this review, researchers can gain a representative idea of the state of the art in nanotechnology for polymer matrix composite engineering, providing a platform for further study of this increasingly industrially significant material, and to address the challenges in developing the next generation of advanced, high-performance materials.

Indexed as

impactinterfacial tougheningnanofiber interleavepolymer compositesself-healing composites

Identifiers

PMID30970621
PMCPMC6523580

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.