Evidence map›Paper›PMID 32143282›Full record

ArticleAntioxidants (Basel, Switzerland)2020

Combining Medicinal Plant In Vitro Culture with Machine Learning Technologies for Maximizing the Production of Phenolic Compounds.

Pascual García-Pérez, Eva Lozano-Milo, Mariana Landín, Pedro Pablo Gallego

Open access · goldAbstract read
In one paragraph

Article in Antioxidants (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

26 citing papers in PubMed, 65 citations in OpenAlex.

  1. Article
  2. Article
  3. Phytochemicals in Drug Discovery-A Confluence of Tradition and Innovation.International journal of molecular sciences · 2024
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Bioactive Compounds fromLife (Basel, Switzerland) · 2023
    Review
  10. Review
  11. Prediction ofHeliyon · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Review
  20. 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

4 authors at 2 institutions in 1 country.

Pascual García-PérezPlant Biology and Soil Science Department, Biology Faculty, University of Vigo, 36310 Vigo, Spain.
Eva Lozano-MiloPlant Biology and Soil Science Department, Biology Faculty, University of Vigo, 36310 Vigo, Spain.
Mariana LandínPharmacology, Pharmacy and Pharmaceutical Technology Department, Faculty of Pharmacy, University of Santiago, E-15782 Santiago de Compostela, Spain.
Pedro Pablo GallegoPlant Biology and Soil Science Department, Biology Faculty, University of Vigo, 36310 Vigo, Spain.
Universidade de Vigo · ESUniversidade de Santiago de Compostela · ES

Funding

Consellería de Cultura, Educación e Ordenación Universitaria, Xunta de Galicia ED431DConsellería de Cultura, Educación e Ordenación Universitaria, Xunta de Galicia ED431EMinisterio de Educación, Cultura y Deporte FPU15/04849
6 · The paper itself

Abstract

We combined machine learning and plant in vitro culture methodologies as a novel approach for unraveling the phytochemical potential of unexploited medicinal plants

Indexed as

antioxidantsartificial intelligencebiotechnologyfuzzy logicKalanchoephytochemistryplant tissue culturepolyphenolssecondary metabolites

Identifiers

PMID32143282
PMCPMC7139750
OpenAlexW3009908351

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.