Evidence map›Paper›PMID 34940642›Full record

ArticleMetabolites2021

Supervised Statistical Learning Prediction of Soybean Varieties and Cultivation Sites Using Rapid UPLC-MS Separation, Method Validation, and Targeted Metabolomic Analysis of 31 Phenolic Compounds in the Leaves.

Chan-Su Rha, Eun Kyu Jang, Yong Deog Hong, Won Seok Park

Abstract read
In one paragraph

Article in Metabolites, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

Chan-Su RhaAMOREPACIFIC R&D Center, Yongin 17074, Korea.ORCID 0000-0003-4791-1314
Eun Kyu JangGyeonggi-do Agricultural Research & Extension Services, Hwaseong 18388, Korea.
Yong Deog HongAMOREPACIFIC R&D Center, Yongin 17074, Korea.
Won Seok ParkAMOREPACIFIC R&D Center, Yongin 17074, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soybean (

Indexed as

chemometricsflavonoidmachine learningmultivariate analysisnon-conventional edible plantssoybean leaftargeted metabolomics

Identifiers

PMID34940642
PMCPMC8704512

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.