Evidence map›Paper›PMID 29844266›Full record

ArticleMolecules (Basel, Switzerland)2018

Separation and Quantification of Four Main Chiral Glucosinolates in

Yanhong Shi, Cheng Zheng, Jinhang Li, Li Yang, Zhengtao Wang, Rui Wang

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 17 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Yanhong ShiThe MOE Key Laboratory for Standardization of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China. shiyhtcm@shutcm.edu.cn.
Cheng ZhengThe SATCM Key Laboratory for New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China. zhengcheng4231@yeah.net.
Jinhang LiSchool of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China. leejh310@163.com.
Li YangThe MOE Key Laboratory for Standardization of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China. yl7@shutcm.edu.cn.
Zhengtao WangThe MOE Key Laboratory for Standardization of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China. wangzht@hotmail.com.
Rui WangSchool of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China. wr@shutcm.edu.cn.
Shanghai University of Traditional Chinese Medicine · CNState Administration of Traditional Chinese Medicine of the People's Republic of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As chemical drugs, separation and quantification of the specific enantiomer from the chiral compounds in herbal medicines are becoming more important. To clarify the chemical characterization of chiral glucosinolates-the antiviral active ingredients of

Indexed as

Antiviral AgentsChromatography, High Pressure LiquidCircular DichroismDrugs, Chinese HerbalGlucosinolatesHumansLiquid-Liquid ExtractionMedicine, Chinese TraditionalOxazolidinonesPlant ExtractsPlant RootsStereoisomerismAntiviral AgentsbanlangenDrugs, Chinese HerbalGlucosinolatesgoitrinOxazolidinonesPlant Extractsprogoitrinchiral analysisglucosinolatesHPLC-UV-CDquantificationRadix Isatidis

Identifiers

PMID29844266
PMCPMC6100438
OpenAlexW2807601436

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.