Evidence map›Paper›PMID 41828868›Full record

ArticleMolecules (Basel, Switzerland)2026

A Novel Strategy for Rapid Quantification of Multiple Quality Indicators and Grade Discrimination of

Ruiqi Yang, Jiayu Wang, Yushi Wang, Xingyu Guo, Yunqi Sun, Ziyue Song, Keyao Zhu, Yuanyu Zhao, Yonghong Yan

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Ruiqi YangSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102401, China.ORCID 0009-0009-1552-1603
Jiayu WangSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102401, China.
Yushi WangSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102401, China.ORCID 0009-0003-1093-4093
Xingyu GuoSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102401, China.
Yunqi SunSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102401, China.
Ziyue SongSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102401, China.
Keyao ZhuSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102401, China.ORCID 0009-0009-4782-3788
Yuanyu ZhaoSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102401, China.
Yonghong YanSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102401, China.

Funding

2023 Beijing University of Chinese Medicine "unveiling and leading" project, Research on Intel-ligent Engineering for Odor Diagnosis of Traditional Chinese Medicine Advantageous Diseases 2023-JYB-JBQN-058Research on the Quality Evaluation of 'Imported Calculus Bovis' and Development of Expert AI Identification Equipment for Authenticable and Detectable Bovis-Related Medicinal Materials 90020271720383Shanxi Province 2022-2023 Traditional Chinese Medicine Technology Innovation Project 2100601 Traditional Chinese Medicine (Ethnic Medicine) Special Project
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

AtractylodesElectronic NoseMachine LearningRhizomeAlgorithmsLactonesNeural Networks, ComputerOdorantsQuality ControlSesquiterpenesLactonesSesquiterpenesAtractylodis macrocephalae Rhizomaelectronic noseelectronic tonguegrade classificationmachine learningquality evaluation

Identifiers

PMID41828868
PMCPMC12986179

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.