Evidence map›Paper›PMID 38140479›Full record

ArticlePlants (Basel, Switzerland)2023

Machine Learning Analysis of the Impact of Silver Nitrate and Silver Nanoparticles on Wheat (

Aras Türkoğlu, Kamil Haliloğlu, Fatih Demirel, Murat Aydin, Semra Çiçek, Esma Yiğider, Serap Demirel, Magdalena Piekutowska, Piotr Szulc, Gniewko Niedbała

Open access · goldAbstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

5 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. EnhancedPlants (Basel, Switzerland) · 2025
    Article
  3. Article
  4. Article
  5. 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

10 authors at 6 institutions in 2 countries.

Aras TürkoğluDepartment of Field Crops, Faculty of Agriculture, Necmettin Erbakan University, Konya 42310, Türkiye.ORCID 0000-0003-2611-8034
Kamil HaliloğluDepartment of Field Crops, Faculty of Agriculture, Ataturk University, Erzurum 25240, Türkiye.ORCID 0000-0002-4014-491X
Fatih DemirelDepartment of Agricultural Biotechnology, Faculty of Agriculture, Igdır University, Igdir 76000, Türkiye.ORCID 0000-0002-6846-8422
Murat AydinDepartment of Agricultural Biotechnology, Faculty of Agriculture, Ataturk University, Erzurum 25240, Türkiye.
Semra ÇiçekDepartment of Agricultural Biotechnology, Faculty of Agriculture, Ataturk University, Erzurum 25240, Türkiye.ORCID 0000-0002-2927-2793
Esma YiğiderDepartment of Agricultural Biotechnology, Faculty of Agriculture, Ataturk University, Erzurum 25240, Türkiye.
Serap DemirelDepartment of Molecular Biology and Genetics, Faculty of Science, Van Yüzüncü Yıl University, Van 65080, Türkiye.ORCID 0000-0002-1877-0797
Magdalena PiekutowskaDepartment of Geoecology and Geoinformation, Institute of Biology and Earth Sciences, Pomeranian University in Słupsk, 27 Partyzantów St., 76-200 Słupsk, Poland.ORCID 0000-0002-5301-4719
Piotr SzulcDepartment of Agronomy, Poznań University of Life Sciences, Dojazd 11, 60-632 Poznań, Poland.ORCID 0000-0002-9670-3231
Gniewko NiedbałaDepartment of Biosystems Engineering, Faculty of Environmental and Mechanical Engineering, Poznań University of Life Sciences, Wojska Polskiego 50, 60-627 Poznań, Poland.ORCID 0000-0003-3721-6473
Atatürk University · TRUniversity of Life Sciences in Poznań · PLIğdır Üniversitesi · TRNecmettin Erbakan University · TRUniwersytet Pomorski w Słupsku · PLVan Yüzüncü Yıl Üniversitesi · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study was to comprehend the efficiency of wheat regeneration, callus induction, and DNA methylation through the application of mathematical frameworks and artificial intelligence (AI)-based models. This research aimed to explore the impact of treatments with AgNO

Indexed as

artificial intelligencegenetic algorithmin vitro culturemodelingpredictionwheat

Identifiers

PMID38140479
PMCPMC10747064
OpenAlexW4389686296

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.