Evidence map›Paper›PMID 34578591›Full record

ArticleNanomaterials (Basel, Switzerland)2021

Flexible Layered-Graphene Charge Modulation for Highly Stable Triboelectric Nanogenerator.

Mamina Sahoo, Sz-Nian Lai, Jyh-Ming Wu, Ming-Chung Wu, Chao-Sung Lai

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 19% of its field
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

6 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Multifunctional Nanomaterials for Energy Applications.Nanomaterials (Basel, Switzerland) · 2022
    Article
  6. α-FeNanomaterials (Basel, Switzerland) · 2022
    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

5 authors at 3 institutions in 1 country.

Mamina SahooDepartment of Electronic Engineering, Chang Gung University, Guishan District, Taoyuan City 33302, Taiwan.
Sz-Nian LaiDepartment of Materials Science and Engineering, National Tsing Hua University, Hsinchu 30010, Taiwan.
Jyh-Ming WuDepartment of Materials Science and Engineering, National Tsing Hua University, Hsinchu 30010, Taiwan.
Ming-Chung WuDepartment of Chemical and Materials Engineering, Chang Gung University, Taoyuan City 33302, Taiwan.ORCID 0000-0002-3584-3871
Chao-Sung LaiDepartment of Electronic Engineering, Chang Gung University, Guishan District, Taoyuan City 33302, Taiwan.ORCID 0000-0002-2069-7533
Chang Gung University · TWNational Tsing Hua University · TWMing Chi University of Technology · TW

Funding

Chang Gung Memorial Hospital, Linkou CMRPD2K0171Chang Gung Memorial Hospital, Linkou CORPD2J0072Ministry of Science and Technology, Taiwan 109-2221-E-182 -013 -MY3Ministry of Science and Technology, Taiwan 110-2622-8-182-001 -TS1
6 · The paper itself

Abstract

The continuous quest to enhance the output performance of triboelectric nanogenerators (TENGs) based on the surface charge density of the tribolayer has motivated researchers to harvest mechanical energy efficiently. Most of the previous work focused on the enhancement of negative triboelectric charges. The enhancement of charge density over positive tribolayer has been less investigated. In this work, we developed a layer-by-layer assembled multilayer graphene-based TENG to enhance the charge density by creatively introducing a charge trapping layer (CTL) Al

Indexed as

charge trapping layerenergy harvestingflexiblegraphenestabilitytriboelectric nanogenerator

Identifiers

PMID34578591
PMCPMC8471573
OpenAlexW3198325973

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.