Evidence map›Paper›PMID 29967468›Full record

ArticleScientific reports2018

Modeling and Optimizing a New Culture Medium for In Vitro Rooting of G×N15 Prunus Rootstock using Artificial Neural Network-Genetic Algorithm.

Mohammad Mehdi Arab, Abbas Yadollahi, Maliheh Eftekhari, Hamed Ahmadi, Mohammad Akbari, Saadat Sarikhani Khorami

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

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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

6 authors.

Mohammad Mehdi ArabDepartment of Horticultural Science, Faculty of Agriculture, Tarbiat Modares University (TMU), Tehran, Iran.
Abbas YadollahiDepartment of Horticultural Science, Faculty of Agriculture, Tarbiat Modares University (TMU), Tehran, Iran. yadollah@modares.ac.ir.
Maliheh EftekhariDepartment of Horticultural Science, Faculty of Agriculture, Tarbiat Modares University (TMU), Tehran, Iran.
Hamed AhmadiBioscience and Agriculture Modeling Research Unit, College of Agriculture, Tarbiat Modares University, Tehran, Iran.ORCID 0000-0002-7445-3139
Mohammad AkbariDepartment of Horticultural Sciences, Faculty of Agriculture, University of Tabriz, Tabriz, Iran.
Saadat Sarikhani KhoramiDepartment of Horticultural Science, Faculty of Agriculture, Tarbiat Modares University (TMU), Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The main aim of the present investigation is modeling and optimization of a new culture medium for in vitro rooting of G×N15 rootstock using an artificial neural network-genetic algorithm (ANN-GA). Six experiments for assessing different media culture, various concentrations of Indole - 3- butyric acid, different concentrations of Thiamine and Fe-EDDHA were designed. The effects of five ionic macronutrients (NH

Identifiers

PMID29967468
PMCPMC6028477

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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.