Evidence map›Paper›PMID 35208452›Full record

ArticleMicromachines2022

High-Performance Piezoelectric-Type MEMS Vibration Sensor Based on LiNbO

Huifen Wei, Wenping Geng, Kaixi Bi, Tao Li, Xiangmeng Li, Xiaojun Qiao, Yikun Shi, Huiyi Zhang, Caiqin Zhao, Gang Xue and 1 more

Abstract read
In one paragraph

Article in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. 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

11 authors.

Huifen WeiScience and Technology on Electronic Test and Measurement Laboratory, North University of China, Taiyuan 030051, China.
Wenping GengScience and Technology on Electronic Test and Measurement Laboratory, North University of China, Taiyuan 030051, China.ORCID 0000-0002-6324-6193
Kaixi BiScience and Technology on Electronic Test and Measurement Laboratory, North University of China, Taiyuan 030051, China.ORCID 0000-0002-8493-9546
Tao LiScience and Technology on Electronic Test and Measurement Laboratory, North University of China, Taiyuan 030051, China.
Xiangmeng LiShanxi Provincial Key Laboratory of Advanced Manufacturing Technology, North University of China, Taiyuan 030051, China.ORCID 0000-0003-0666-8821
Xiaojun QiaoScience and Technology on Electronic Test and Measurement Laboratory, North University of China, Taiyuan 030051, China.
Yikun ShiBeijing Space Trek Technology Co., Ltd., Beijing 100176, China.
Huiyi ZhangScience and Technology on Electronic Test and Measurement Laboratory, North University of China, Taiyuan 030051, China.
Caiqin ZhaoScience and Technology on Electronic Test and Measurement Laboratory, North University of China, Taiyuan 030051, China.
Gang XueScience and Technology on Electronic Test and Measurement Laboratory, North University of China, Taiyuan 030051, China.
Xiujian ChouScience and Technology on Electronic Test and Measurement Laboratory, North University of China, Taiyuan 030051, China.

Funding

Fundamental Research Program of Shanxi Province No. 20210302123013National Natural Science Foundation of China No. 62171415Research Project Supported by Shanxi Scholarship Council of China No.2021-112
6 · The paper itself

Abstract

It is a great challenge to detect in-situ high-frequency vibration signals for extreme environment applications. A highly sensitive and robust vibration sensor is desired. Among the many piezoelectric materials, single-crystal lithium niobate (LiNbO

Indexed as

four-cantilever beamMEMSoutput charge sensitivitysingle-crystal LiNbO3temperature dependencevibration sensor

Identifiers

PMID35208452
PMCPMC8879162

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.