Evidence map›Paper›PMID 32182921›Full record

ArticleSensors (Basel, Switzerland)2020

Analytical Approach to Study Sensing Properties of Graphene Based Gas Sensor.

Ali Hosseingholipourasl, Sharifah Hafizah Syed Ariffin, Yasser D Al-Otaibi, Elnaz Akbari, Fatimah Kh Hamid, S S R Koloor, Michal Petrů

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. 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. Article
  2. Monolayer Twisted Graphene-Based Schottky Transistor.Materials (Basel, Switzerland) · 2021
    Article
  3. Separation of CHJournal of molecular modeling · 2021
    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

7 authors.

Ali HosseingholipouraslUTM-MIMOS Center of Excellence in Telecommunication Technology, School of Electrical Engineering, Universiti Teknologi Malaysia, Skudai 81310, Johor, Malaysia.ORCID 0000-0002-7947-3243
Sharifah Hafizah Syed AriffinUTM-MIMOS Center of Excellence in Telecommunication Technology, School of Electrical Engineering, Universiti Teknologi Malaysia, Skudai 81310, Johor, Malaysia.
Yasser D Al-OtaibiFaculty of Computing and Information Technology in Rabigh, King Abdulaziz University, Jeddah 21589, Saudi Arabia.
Elnaz AkbariDepartment for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City 758307, Vietnam.
Fatimah Kh HamidSchool of Electrical Engineering, Universiti Teknologi Malaysia, Skudai 81310, Johor, Malaysia.
S S R KoloorInstitute for Nanomaterials, Advanced Technologies and Innovation, Technical University of Liberec, Studentska 2, 461 17 Liberec, Czech Republic.ORCID 0000-0002-1820-6379
Michal PetrůInstitute for Nanomaterials, Advanced Technologies and Innovation, Technical University of Liberec, Studentska 2, 461 17 Liberec, Czech Republic.ORCID 0000-0002-7643-8450

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past years, carbon-based materials and especially graphene, have always been known as one of the most famous and popular materials for sensing applications. Graphene poses outstanding electrical and physical properties that make it favorable to be used as a transducer in the gas sensors structure. Graphene experiences remarkable changes in its physical and electrical properties when exposed to various gas molecules. Therefore, in this study, a set of new analytical models are developed to investigate energy band structure, the density of states (DOS), the velocity of charged carriers and

Indexed as

adsorptionanalytical modelinggas sensorgrapheneI-V characteristics

Identifiers

PMID32182921
PMCPMC7085747

What OpenQuestion holds

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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.