Evidence map›Paper›PMID 31547087›Full record

ArticleMicromachines2019

Quantitative Analysis of Piezoresistive Characteristic Based on a P-type 4H-SiC Epitaxial Layer.

Yongwei Li, Ting Liang, Cheng Lei, Yingping Hong, Wangwang Li, Zhiqiang Li, Abdul Ghaffar, Qiang Li, Jijun Xiong

Abstract read
In one paragraph

Article in Micromachines, 2019. 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. Review
  2. Review
  3. 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.

Yongwei LiScience and Technology on Electronic Test & Measurement Laboratory, North University of China, Taiyuan 030051, China. liyongwei27@163.com.
Ting LiangScience and Technology on Electronic Test & Measurement Laboratory, North University of China, Taiyuan 030051, China. liangtingnuc@163.com.
Cheng LeiScience and Technology on Electronic Test & Measurement Laboratory, North University of China, Taiyuan 030051, China. leicheng@nuc.edu.cn.
Yingping HongScience and Technology on Electronic Test & Measurement Laboratory, North University of China, Taiyuan 030051, China. hongyingping0807@163.com.
Wangwang LiScience and Technology on Electronic Test & Measurement Laboratory, North University of China, Taiyuan 030051, China. 18434365707@163.com.ORCID 0000-0001-5883-2190
Zhiqiang LiScience and Technology on Electronic Test & Measurement Laboratory, North University of China, Taiyuan 030051, China. lizhiqiangnuc@163.com.
Abdul GhaffarScience and Technology on Electronic Test & Measurement Laboratory, North University of China, Taiyuan 030051, China. 92ghaffar@gmail.com.
Qiang LiScience and Technology on Electronic Test & Measurement Laboratory, North University of China, Taiyuan 030051, China. snjk08@163.com.
Jijun XiongScience and Technology on Electronic Test & Measurement Laboratory, North University of China, Taiyuan 030051, China. xiongjijun@nuc.edu.cn.

Funding

China National Funds for Distinguished Young Scholars 51425505China National Funds for Young Scholars 51705475
6 · The paper itself

Abstract

In this work, the piezoresistive properties of heavily doped p-type 4H-SiC at room temperature were investigated innovatively. It was verified by a field emission scanning electron microscope (FESEM), X-ray diffraction (XRD), and laser Raman spectroscopy (LRS) that the crystal quality of the epitaxial layer was good. The doping concentration and thickness of the epitaxial layer were measured by secondary ion mass spectrometry (SIMS) to be ~1.12 × 10

Indexed as

cantilever beamohmic contactpiezoresistive effectp-type 4H-SiC

Identifiers

PMID31547087
PMCPMC6843781

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.