Evidence map›Paper›PMID 37700005›Full record

ArticleScientific reports2023

A promising ultra-sensitive CO

Abdulkarem H M Almawgani, Hamza Makhlouf Fathy, Hussein A Elsayed, Yahya Ali Abdelrahman Ali, Ahmed Mehaney

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

2 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. 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 2 institutions in 2 countries.

Abdulkarem H M AlmawganiElectrical Engineering Department, College of Engineering, Najran University, Najran, Kingdom of Saudi Arabia. ahalmawgani@nu.edu.sa.
Hamza Makhlouf FathyPhysics Department, Faculty of Science, Beni-Suef University, Beni-Suef, 62512, Egypt.
Hussein A ElsayedPhysics Department, Faculty of Science, Beni-Suef University, Beni-Suef, 62512, Egypt.
Yahya Ali Abdelrahman AliInformation Systems Department, College of Computer Sciences and Information Systems, Najran University, Najran, Saudi Arabia.
Ahmed MehaneyPhysics Department, Faculty of Science, Beni-Suef University, Beni-Suef, 62512, Egypt. ahmed0111236@science.bsu.edu.eg.
Beni-Suef University · EGNajran University · SA

Funding

Najran University NU/RG/SERC/12/2
6 · The paper itself

Abstract

Detecting of the levels of greenhouse gases in the air with high precision and low cost is a very urgent demand for environmental protection. Phononic crystals (PnCs) represent a novel sensor technology, particularly for high-performance sensing applications. This study has been conducted by using two PnC designs (periodic and quasi-periodic) to detect the CO

Identifiers

PMID37700005
PMCPMC10497549
OpenAlexW4386638399

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.