Evidence map›Paper›PMID 36918606›Full record

ArticleScientific reports2023

Wavelet-artificial neural network to predict the acetone sensing by indium oxide/iron oxide nanocomposites.

Reza Iranmanesh, Afham Pourahmad, Danial Soltani Shabestani, Seyed Sajjad Jazayeri, Hamed Sadeqi, Javid Akhavan, Abdelouahed Tounsi

Erratum issuedOpen access · goldFull text read
PubMed Full text at PMC Publisher
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. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 31% 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

1 citing paper in PubMed, 8 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 7 institutions in 4 countries.

Reza IranmaneshFaculty of Civil Engineering, K.N. Toosi University of Technology, No. 1346, Vali Asr Street, Mirdamad Intersection, Tehran, Iran.
Afham PourahmadDepartment of Polymer Engineering, Amirkabir University of Technology, Tehran, 1591634311, Iran.
Danial Soltani ShabestaniDepartment of Chemistry, Mashhad Branch, Islamic Azad University, Mashhad, Iran. danialsoltany@yahoo.com.
Seyed Sajjad JazayeriDepartment of Chemical Engineering, Abadan Azad University, Khuzestan, Iran.
Hamed SadeqiDepartment of Internet and Wide Network, Iran Industrial Training Center Branch, University of Applied Science and Technology, Tehran, Iran.
Javid AkhavanMechanical Engineering Department, Stevens Institute of Technology, 1 Castle Point Terrace, Hoboken, NJ, 07030, USA.
Abdelouahed TounsiMaterial and Hydrology Laboratory, Civil Engineering Department, Faculty of Technology, University of Sidi Bel Abbes, Sidi Bel Abbès, Algeria.
Amirkabir University of Technology · IRIslamic Azad University, Mashhad · IRIslamic Azad University, Tehran · IRKing Fahd University of Petroleum and Minerals · SAK.N.Toosi University of Technology · IRStevens Institute of Technology · USUniversity of Applied Science and Technology · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study applies a hybridized wavelet transform-artificial neural network (WT-ANN) model to simulate the acetone detecting ability of the Indium oxide/Iron oxide (In

Identifiers

PMID36918606
PMCPMC10015010
OpenAlexW4324132457

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read10
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.