Evidence map›Paper›PMID 39475613›Full record

ArticleScience advances2024

Self-powered visualized tactile-acoustic sensor for accurate artificial perception with high brightness and record-low detection limit.

Li Su, Shuangyang Kuang, Yong Zhao, Junhuan Li, Guodong Zhao, Zhong Lin Wang, Yunlong Zi

Abstract read
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
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  5. Multi-Force-Driven Self-Recoverable SWIR Mechanoluminescence for Underwater Communication.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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

7 authors.

Li SuHebei Key Laboratory of Micro-Nano Precision Optical Sensing and Measurement Technology, School of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, Hebei 066004, China.ORCID 0009-0001-8976-8512
Shuangyang KuangHubei Key Laboratory of Plasma Chemistry and Advanced Materials, School of Materials Science and Engineering, Wuhan Institute of Technology, Wuhan, Hubei 430205, China.ORCID 0000-0002-7326-6139
Yong ZhaoHebei Key Laboratory of Micro-Nano Precision Optical Sensing and Measurement Technology, School of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, Hebei 066004, China.ORCID 0000-0002-2041-4580
Junhuan LiHebei Key Laboratory of Micro-Nano Precision Optical Sensing and Measurement Technology, School of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, Hebei 066004, China.
Guodong ZhaoHebei Key Laboratory of Micro-Nano Precision Optical Sensing and Measurement Technology, School of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, Hebei 066004, China.
Zhong Lin WangBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China.ORCID 0000-0002-5530-0380
Yunlong ZiThrust of Sustainable Energy and Environment, The Hong Kong University of Science and Technology (Guangzhou), Nansha, Guangzhou, Guangdong 511400, China.ORCID 0000-0002-5133-4057

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growth of the Internet of Things has focused attention on visualized sensors as a key technology. However, it remains challenging to achieve high sensing accuracy and self-power ability. Here, we propose a self-powered visualized tactile-acoustic sensor (SVTAS) based on an elaborated triboelectrification-induced electroluminescence (TIEL) unit. To date, it features a high brightness of 0.5 mW cm

Identifiers

PMID39475613
PMCPMC11524179

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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.