Evidence map›Paper›PMID 35893993›Full record

ArticlePolymers2022

A Highly Sensitive and Flexible Strain Sensor Based on Dopamine-Modified Electrospun Styrene-Ethylene-Butylene-Styrene Block Copolymer Yarns and Multi Walled Carbon Nanotubes.

Bangze Zhou, Chenchen Li, Zhanxu Liu, Xiaofeng Zhang, Qi Li, Haotian He, Yanfen Zhou, Liang Jiang

Open access · goldAbstract read
In one paragraph

Article in Polymers, 2022. 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
1.1field-weighted citation impact, top 27% 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, 13 citations in OpenAlex.

  1. Article
  2. Review
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

8 authors at 1 institution in 1 country.

Bangze ZhouCollege of Textiles and Clothing, Qingdao University, Qingdao 266071, China.
Chenchen LiCollege of Textiles and Clothing, Qingdao University, Qingdao 266071, China.
Zhanxu LiuCollege of Textiles and Clothing, Qingdao University, Qingdao 266071, China.
Xiaofeng ZhangCollege of Textiles and Clothing, Qingdao University, Qingdao 266071, China.
Qi LiCollege of Textiles and Clothing, Qingdao University, Qingdao 266071, China.
Haotian HeCollege of Textiles and Clothing, Qingdao University, Qingdao 266071, China.
Yanfen ZhouCollege of Textiles and Clothing, Qingdao University, Qingdao 266071, China.
Liang JiangCollege of Textiles and Clothing, Qingdao University, Qingdao 266071, China.ORCID 0000-0002-7792-6069
Qingdao University · CN

Funding

National Natural Science Foundation of China 51703108National Natural Science Foundation of China 52003130Taishan Scholar Foundation of Shandong tsqn201909100Youth Innovation Science and Technology Plan of Shandong Province 2020KJA013
6 · The paper itself

Abstract

As wearable electronic devices have become commonplace in daily life, great advances in wearable strain sensors occurred in various fields including healthcare, robotics, virtual reality and other sectors. In this work, a highly stretchable and sensitive strain sensor based on electrospun styrene-ethylene-butene-styrene copolymer (SEBS) yarn modified by dopamine (DA) and coated with multi-walled carbon nanotubes (MWCNTs) was reported. Due to the process of twisting, a strain senor stretched to a strain of 1095.8% while exhibiting a tensile strength was 20.03 MPa. The strain sensor obtained a gauge factor (GF of 1.13 × 10

Indexed as

dopamineMWCNTsSEBSstrain sensoryarn

Identifiers

PMID35893993
PMCPMC9332177
OpenAlexW4288053188

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.