Evidence map›Paper›PMID 32235619›Full record

ArticleInternational journal of molecular sciences2020

Expression of a

Tao Guo, Shumin Wang, Yinruizhi Li, Jianbo Yuan, Lixin Xu, Tiejun Zhang, Yuehui Chao, Liebao Han

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2020. 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
0.9field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Alfalfa andPhysiology and molecular biology of plants : an international journal of functional plant biology · 2026
    Article
  2. Article
  3. Article
  4. Overexpression ofFrontiers in plant science · 2022
    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

8 authors at 2 institutions in 1 country.

Tao GuoCollege of Grassland Science, Beijing Forestry University, Beijing 100083, China.ORCID 0000-0003-1266-5010
Shumin WangCollege of Agro-Grassland Science, Nanjing Agricultural University, Nanjing 210095, China.
Yinruizhi LiCollege of Grassland Science, Beijing Forestry University, Beijing 100083, China.
Jianbo YuanCollege of Grassland Science, Beijing Forestry University, Beijing 100083, China.
Lixin XuCollege of Grassland Science, Beijing Forestry University, Beijing 100083, China.
Tiejun ZhangCollege of Grassland Science, Beijing Forestry University, Beijing 100083, China.
Yuehui ChaoCollege of Grassland Science, Beijing Forestry University, Beijing 100083, China.ORCID 0000-0001-8573-6794
Liebao HanCollege of Grassland Science, Beijing Forestry University, Beijing 100083, China.
Beijing Forestry University · CNNanjing Agricultural University · CN

Funding

National Natural Science Foundation of China (No. 31672477 and No. 31971770).
6 · The paper itself

Abstract

Shoot branching is one of the most variable determinants of crop yield, and the signaling pathways of plant branches have become a hot research topic. As an important transcription factor in the B3 family, NGATHA1 (NGA1), plays an important role in regulating plant lateral organ development and hormone synthesis and transport, but few studies of the role of this gene in the regulation of plant growth and stress tolerance have been reported. In this study, the

Indexed as

ArabidopsisFlowersGene Expression Regulation, PlantMedicago truncatulaPlant ProteinsPlants, Genetically ModifiedSalt ToleranceTranscription FactorsPlant ProteinsTranscription Factorsabiotic stress responsebranchlate floweringM. truncatulaNGA1

Identifiers

PMID32235619
PMCPMC7177866
OpenAlexW3013701188

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.