Evidence map›Paper›PMID 27068291›Full record

ArticleProtoplasma2017

Artificial neural network-based model for the prediction of optimal growth and culture conditions for maximum biomass accumulation in multiple shoot cultures of Centella asiatica.

Archana Prasad, Om Prakash, Shakti Mehrotra, Feroz Khan, Ajay Kumar Mathur, Archana Mathur

Abstract read
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Article in Protoplasma, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. The Past, Present and Future ofPlants (Basel, Switzerland) · 2021
    Review
  5. Article
  6. 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

6 authors.

Archana PrasadDivision of Plant Biotechnology, CSIR-Central Institute of Medicinal & Aromatic Plants (CSIR-CIMAP); PO CIMAP, Lucknow, 226015, India.
Om PrakashDivision of Molecular and Structural Biology, CSIR-Central Institute of Medicinal & Aromatic Plants (CSIR-CIMAP); PO CIMAP, Lucknow, 226015, India.
Shakti MehrotraDivision of Plant Biotechnology, CSIR-Central Institute of Medicinal & Aromatic Plants (CSIR-CIMAP); PO CIMAP, Lucknow, 226015, India.
Feroz KhanDivision of Molecular and Structural Biology, CSIR-Central Institute of Medicinal & Aromatic Plants (CSIR-CIMAP); PO CIMAP, Lucknow, 226015, India.
Ajay Kumar MathurDivision of Plant Biotechnology, CSIR-Central Institute of Medicinal & Aromatic Plants (CSIR-CIMAP); PO CIMAP, Lucknow, 226015, India.
Archana MathurDivision of Plant Biotechnology, CSIR-Central Institute of Medicinal & Aromatic Plants (CSIR-CIMAP); PO CIMAP, Lucknow, 226015, India. archnacimap@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An artificial neural network (ANN)-based modelling approach is used to determine the synergistic effect of five major components of growth medium (Mg, Cu, Zn, nitrate and sucrose) on improved in vitro biomass yield in multiple shoot cultures of Centella asiatica. The back propagation neural network (BPNN) was employed to predict optimal biomass accumulation in terms of growth index over a defined culture duration of 35 days. The four variable concentrations of five media components, i.e. MgSO

Indexed as

BiomassModels, BiologicalNeural Networks, ComputerCentellaPlant ShootsRegression AnalysisReproducibility of ResultsTissue Culture TechniquesArtificial neural network modellingCentella asiaticaMedia optimizationMultiple shoot cultures

Identifiers

PMID27068291

What OpenQuestion holds

Textmetadata
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Registered trials

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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.