Evidence map›Paper›PMID 38978349›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

Pushing Pressure Detection Sensitivity to New Limits by Modulus-Tunable Mechanism.

Jing Yang, Guojiang Yuan, Yong Shen, Caili Guo, Zhibin Li, Fengling Yan, Xiaolong Chen, Lin Mei, Taihong Wang

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Pushing Pressure Detection Sensitivity to New Limits by Modulus-Tunable Mechanism.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    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

9 authors.

Jing YangDepartment of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, 518055, P. R. China.
Guojiang YuanDepartment of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, 518055, P. R. China.
Yong ShenDepartment of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, 518055, P. R. China.
Caili GuoState Key Laboratory of Powder Metallurgy, Central South University, Changsha, Hunan, 410083, P. R. China.
Zhibin LiDepartment of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, 518055, P. R. China.
Fengling YanDepartment of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, 518055, P. R. China.
Xiaolong ChenDepartment of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, 518055, P. R. China.
Lin MeiState Key Laboratory of Powder Metallurgy, Central South University, Changsha, Hunan, 410083, P. R. China.
Taihong WangDepartment of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, 518055, P. R. China.ORCID https://orcid.org/0000-0002-6295-848X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Only microstructures are used to improve the sensitivity of iontronic pressure sensors. By modulating the compressive modulus, a breakthrough in the sensitivity of the iontronic pressure sensor is achieved. Furthermore, it allows for programmatic tailoring of sensor performance according to the requirements of different applications. Such a new strategy pushes the sensitivity up to a record-high of 25 548.24 kPa

Indexed as

compression moduluselectronic skinintellectual manipulatorspressure sensorsultra‐high sensitivity

Identifiers

PMID38978349
PMCPMC11425887

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.