Evidence map›Paper›PMID 36133328›Full record

ArticleNanoscale advances2022

A high-performance wearable pressure sensor based on an MXene/PVP composite nanofiber membrane for health monitoring.

Mengna Ren, Zhongsen Sun, Mengqi Zhang, Xiaojun Yang, Dedong Guo, Shuheng Dong, Rajendra Dhakal, Zhao Yao, Yuanyue Li, Nam Young Kim

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nanoscale advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
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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

10 authors.

Mengna RenCollege of Electronic and Information, Qingdao University Qingdao 266071 China yzh17@qdu.edu.cn yyli@qdu.edu.cn.
Zhongsen SunCollege of Electronic and Information, Qingdao University Qingdao 266071 China yzh17@qdu.edu.cn yyli@qdu.edu.cn.
Mengqi ZhangCollege of Electronic and Information, Qingdao University Qingdao 266071 China yzh17@qdu.edu.cn yyli@qdu.edu.cn.
Xiaojun YangCollege of Electronic and Information, Qingdao University Qingdao 266071 China yzh17@qdu.edu.cn yyli@qdu.edu.cn.
Dedong GuoCollege of Electronic and Information, Qingdao University Qingdao 266071 China yzh17@qdu.edu.cn yyli@qdu.edu.cn.
Shuheng DongCollege of Electronic and Information, Qingdao University Qingdao 266071 China yzh17@qdu.edu.cn yyli@qdu.edu.cn.
Rajendra DhakalDepartment of Computer Science and Engineering, Sejong University Seoul 05006 Korea.
Zhao YaoCollege of Electronic and Information, Qingdao University Qingdao 266071 China yzh17@qdu.edu.cn yyli@qdu.edu.cn.ORCID https://orcid.org/0000-0003-3030-4614
Yuanyue LiCollege of Electronic and Information, Qingdao University Qingdao 266071 China yzh17@qdu.edu.cn yyli@qdu.edu.cn.ORCID https://orcid.org/0000-0001-9964-0793
Nam Young KimDepartment of Electronic Engineering, Kwangwoon University Seoul 01897 Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Flexible and wearable pressure sensors have attracted extensive attention in domains, such as electronic skin, medical monitoring and human-machine interaction. However, developing a pressure sensor with high sensitivity, mechanical stability and a wide detection range remains a huge challenge. In this work, a flexible capacitive pressure sensor, based on a Ti

Identifiers

PMID36133328
PMCPMC9470067

What OpenQuestion holds

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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.