Evidence map›Paper›PMID 36559539›Full record

ArticlePlants (Basel, Switzerland)2022

Morphological Traits Evaluated with Random Forest Method Explains Natural Classification of Grapevine (

Zsófia Szűgyi-Reiczigel, Márta Ladányi, György Dénes Bisztray, Zsuzsanna Varga, Péter Bodor-Pesti

Open access · goldAbstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

5 authors at 1 institution in 1 country.

Zsófia Szűgyi-ReiczigelDepartment of Applied Statistics, Institute of Mathematics and Basic Science, University of Agriculture and Life Sciences, Villányi út 29-43, 1118 Budapest, Hungary.
Márta LadányiDepartment of Applied Statistics, Institute of Mathematics and Basic Science, University of Agriculture and Life Sciences, Villányi út 29-43, 1118 Budapest, Hungary.ORCID 0000-0003-3114-8289
György Dénes BisztrayDepartment of Viticulture, Institute for Viticulture and Oenology, Hungarian University of Agriculture and Life Sciences, Villányi út 29-43, 1118 Budapest, Hungary.
Zsuzsanna VargaDepartment of Viticulture, Institute for Viticulture and Oenology, Hungarian University of Agriculture and Life Sciences, Villányi út 29-43, 1118 Budapest, Hungary.ORCID 0000-0002-8371-6623
Péter Bodor-PestiDepartment of Viticulture, Institute for Viticulture and Oenology, Hungarian University of Agriculture and Life Sciences, Villányi út 29-43, 1118 Budapest, Hungary.
Magyar Agrár- és Élettudományi Egyetem · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are hundreds of morphologic and morphometric traits available to classify and identify grapevine (

Indexed as

ampelographynumerical morphologyrandom forestvariable selectionVitis vinifera L.

Identifiers

PMID36559539
PMCPMC9781146
OpenAlexW4311970894

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.