Evidence map›Paper›PMID 36557499›Full record

ReviewMicromachines2022

Towards a Highly Efficient ZnO Based Nanogenerator.

Mohammad Aiman Mustaffa, Faiz Arith, Nur Syamimi Noorasid, Mohd Shahril Izuan Mohd Zin, Kok Swee Leong, Fara Ashikin Ali, Ahmad Nizamuddin Muhammad Mustafa, Mohd Muzafar Ismail

Abstract readReview
In one paragraph

Review in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
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

8 authors.

Mohammad Aiman MustaffaFaculty of Electronic and Computer Engineering, Universiti Teknikal Malaysia Melaka (UTeM), Hang Tuah Jaya, Melaka 76100, Malaysia.ORCID 0000-0001-9308-858X
Faiz ArithFaculty of Electronic and Computer Engineering, Universiti Teknikal Malaysia Melaka (UTeM), Hang Tuah Jaya, Melaka 76100, Malaysia.ORCID 0000-0002-6459-8369
Nur Syamimi NoorasidFaculty of Electronic and Computer Engineering, Universiti Teknikal Malaysia Melaka (UTeM), Hang Tuah Jaya, Melaka 76100, Malaysia.
Mohd Shahril Izuan Mohd ZinFaculty of Electronic and Computer Engineering, Universiti Teknikal Malaysia Melaka (UTeM), Hang Tuah Jaya, Melaka 76100, Malaysia.
Kok Swee LeongFaculty of Electronic and Computer Engineering, Universiti Teknikal Malaysia Melaka (UTeM), Hang Tuah Jaya, Melaka 76100, Malaysia.
Fara Ashikin AliFaculty of Electrical and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka (UTeM), Hang Tuah Jaya, Melaka 76100, Malaysia.ORCID 0000-0001-8263-5410
Ahmad Nizamuddin Muhammad MustafaFaculty of Electrical and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka (UTeM), Hang Tuah Jaya, Melaka 76100, Malaysia.ORCID 0000-0002-7797-4968
Mohd Muzafar IsmailFaculty of Electrical and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka (UTeM), Hang Tuah Jaya, Melaka 76100, Malaysia.

Funding

Technical University of Malaysia Malacca PJP/2020/FTKEE/PP/S01748
6 · The paper itself

Abstract

A nanogenerator (NG) is an energy harvester device that converts mechanical energy into electrical energy on a small scale by relying on physical changes. Piezoelectric semiconductor materials play a key role in producing high output power in piezoelectric nanogenerator. Low cost, reliability, deformation, and electrical and thermal properties are the main criteria for an excellent device. Typically, there are several main types of piezoelectric materials, zinc oxide (ZnO) nanorods, barium titanate (BaTiO

Indexed as

higher output powerhydrothermal methodnanogeneratorpiezoelectric effectzinc oxide (ZnO) nanorods

Identifiers

PMID36557499
PMCPMC9783523

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.