Evidence map›Paper›PMID 38929189›Full record

ArticleAntioxidants (Basel, Switzerland)2024

Feature-Based Molecular Network-Assisted Cannabinoid and Flavonoid Profiling of

Ling Chen, Hong-Ling Li, Hong-Juan Zhou, Guan-Zhong Zhang, Ying Zhang, You-Mei Wang, Meng-Yuan Wang, Hua Yang, Wen Gao

Abstract read
In one paragraph

Article in Antioxidants (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Enhancing Industrial Hemp (International journal of molecular sciences · 2025
    Article
  4. 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

9 authors.

Ling ChenState Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing 211198, China.
Hong-Ling LiState Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing 211198, China.
Hong-Juan ZhouState Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing 211198, China.
Guan-Zhong ZhangState Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing 211198, China.
Ying ZhangInstitute of Forensic Science, Ministry of Public Security, Beijing 100038, China.
You-Mei WangKey Laboratory of Drug Monitoring and Control, Drug Intelligence and Forensic Center, Ministry of Public Security, Beijing 100193, China.
Meng-Yuan WangState Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing 211198, China.
Hua YangState Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing 211198, China.
Wen GaoState Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing 211198, China.ORCID 0000-0002-5087-8351

Funding

Jiangsu Qing Lan Project (2022)the National Key Research and Development Program of China 2022YFC3300902; 2018YFC0807401Young Talent Lifting Project of China Association of Chinese Medicine CACM-2022-QNRC2-B25
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

antioxidationcannabinoidsflavonoidsquantification

Identifiers

PMID38929189
PMCPMC11200612

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.