Evidence map›Paper›PMID 38868516›Full record

ArticleiMeta2024

PHGD: An integrative and user-friendly database for plant hormone-related genes.

Shuyan Feng, Zhuo Liu, Huilong Chen, Nan Li, Tong Yu, Rong Zhou, Fulei Nie, Di Guo, Xiao Ma, Xiaoming Song

Abstract read
In one paragraph

Article in iMeta, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

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  4. Mining ofHorticulture research · 2026
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  19. The pan genome analysis ofHorticulture research · 2025
    Article
  20. High-qualityHorticulture research · 2025
    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

10 authors.

Shuyan FengSchool of Life Sciences/Library North China University of Science and Technology Tangshan Hebei China.
Zhuo LiuSchool of Life Sciences/Library North China University of Science and Technology Tangshan Hebei China.
Huilong ChenCollege of Grassland Science and Technology China Agricultural University Beijing China.
Nan LiSchool of Life Sciences/Library North China University of Science and Technology Tangshan Hebei China.
Tong YuSchool of Life Sciences/Library North China University of Science and Technology Tangshan Hebei China.
Rong ZhouDepartment of Food Science Aarhus University Aarhus Denmark.
Fulei NieSchool of Life Sciences/Library North China University of Science and Technology Tangshan Hebei China.
Di GuoSchool of Life Sciences/Library North China University of Science and Technology Tangshan Hebei China.
Xiao MaSchool of Life Sciences/Library North China University of Science and Technology Tangshan Hebei China.
Xiaoming SongSchool of Life Sciences/Library North China University of Science and Technology Tangshan Hebei China.ORCID 0000-0003-0084-3668

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant Hormone Gene Database (PHGD) database platform construction pipeline. First, we collected all reported hormone-related genes in the model plant Arabidopsis thaliana, and combined with the existing experimental background, mapped the hormone-gene interaction network to provide a blueprint. Next, we collected 469 high-quality plant genomes. Then, bioinformatics was used to identify hormone-related genes in these plants. Finally, these genetic data were programmed to be stored in a database and a platform website PHGD was built. PHGD was divided into eight modules, namely Home, Browse, Search, Resources, Download, Tools, Help, and Contact. We provided data resources and platform services to facilitate the study of plant hormones.

Identifiers

PMID38868516
PMCPMC10989150

What OpenQuestion holds

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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.