Evidence map›Paper›PMID 38248334›Full record

ArticleCurrent issues in molecular biology2024

Rapid Visual Detection of Elite Erect Panicle

Yonghang Tian, Xiyi Chen, Peizhou Xu, Yuping Wang, Xianjun Wu, Kun Wu, Xiangdong Fu, Yaoxian Chin, Yongxiang Liao

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

Article in Current issues in molecular biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 48% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. 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 at 3 institutions in 1 country.

Yonghang TianCollege of Food Science and Engineering, Hainan Tropical Ocean University, No. 1 Yucai Road, Sanya 572022, China.ORCID 0000-0003-2526-0784
Xiyi ChenCollege of Food Science and Engineering, Hainan Tropical Ocean University, No. 1 Yucai Road, Sanya 572022, China.
Peizhou XuState Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute, Sichuan Agricultural University, No. 211 Huiming Road, Chengdu 611130, China.
Yuping WangState Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute, Sichuan Agricultural University, No. 211 Huiming Road, Chengdu 611130, China.
Xianjun WuState Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute, Sichuan Agricultural University, No. 211 Huiming Road, Chengdu 611130, China.
Kun WuInstitute of Genetics and Developmental Biology, Chinese Academy of Sciences, No. 1 West Beichen Road, Beijing 100101, China.
Xiangdong FuInstitute of Genetics and Developmental Biology, Chinese Academy of Sciences, No. 1 West Beichen Road, Beijing 100101, China.
Yaoxian ChinCollege of Food Science and Engineering, Hainan Tropical Ocean University, No. 1 Yucai Road, Sanya 572022, China.
Yongxiang LiaoState Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute, Sichuan Agricultural University, No. 211 Huiming Road, Chengdu 611130, China.
Sichuan Agricultural University · CNHainan Tropical Ocean University · CNChinese Academy of Sciences · CN

Funding

Chengdu Science and Technology Bureau 2022-YF09-00036-SNNational Natural Science Foundation of China 31960399Natural Science Foundation of Hainan Province 321MS050
6 · The paper itself

Abstract

Molecular-assisted breeding is an effective way to improve targeted agronomic traits.

Indexed as

dep1HNBInDelLAMPriceSHUHUI498

Identifiers

PMID38248334
PMCPMC10814556
OpenAlexW4390588715

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.