Evidence map›Paper›PMID 35459012›Full record

ReviewSensors (Basel, Switzerland)2022

Materials, Preparation Strategies, and Wearable Sensor Applications of Conductive Fibers: A Review.

Xiuhong Li, Shuang Chen, Yujie Peng, Zhong Zheng, Jing Li, Fei Zhong

Open access · goldAbstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 4% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
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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 at 1 institution in 1 country.

Xiuhong LiSchool of Mechanical Engineering, Hubei University of Technology, Wuhan 430068, China.
Shuang ChenSchool of Mechanical Engineering, Hubei University of Technology, Wuhan 430068, China.
Yujie PengSchool of Mechanical Engineering, Hubei University of Technology, Wuhan 430068, China.
Zhong ZhengSchool of Mechanical Engineering, Hubei University of Technology, Wuhan 430068, China.ORCID 0000-0003-3060-2873
Jing LiSchool of Mechanical Engineering, Hubei University of Technology, Wuhan 430068, China.
Fei ZhongSchool of Mechanical Engineering, Hubei University of Technology, Wuhan 430068, China.
Hubei University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent advances in wearable sensors and intelligent human-machine interfaces have sparked a great many interests in conductive fibers owing to their high conductivity, light weight, good flexibility, and durability. As one of the most impressive materials for wearable sensors, conductive fibers can be made from a variety of raw sources via diverse preparation strategies. Herein, to offer a comprehensive understanding of conductive fibers, we present an overview of the recent progress in the materials, the preparation strategies, and the wearable sensor applications related. Firstly, the three types of conductive fibers, including metal-based, carbon-based, and polymer-based, are summarized in terms of their principal material composition. Then, various preparation strategies of conductive fibers are established. Next, the primary wearable sensors made of conductive fibers are illustrated in detail. Finally, a robust outlook on conductive fibers and their wearable sensor applications are addressed.

Indexed as

Wearable Electronic DevicesElectric ConductivityHumansHydrogelsPolymersHydrogelsPolymersconductive fiberspreparation strategieswearable sensors

Identifiers

PMID35459012
PMCPMC9032468
OpenAlexW4224238789

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.