Evidence map›Paper›PMID 38023876›Full record

ArticleFrontiers in plant science2023

Elucidating the impact of

Jing Yu, Xiaowei Wang, Qianqian Yuan, Jiaxin Shi, Jingyi Cai, Zhichao Li, Hongwu Ma

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

Article in Frontiers in plant science, 2023. 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
0.5field-weighted citation impact, top 32% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

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

7 authors at 2 institutions in 1 country.

Jing Yu *National Technology Innovation Center of Synthetic Biology, Tianjin, China.
Xiaowei Wang *National Technology Innovation Center of Synthetic Biology, Tianjin, China.
Qianqian Yuan *National Technology Innovation Center of Synthetic Biology, Tianjin, China.
Jiaxin ShiNational Technology Innovation Center of Synthetic Biology, Tianjin, China.
Jingyi CaiNational Technology Innovation Center of Synthetic Biology, Tianjin, China.
Zhichao LiNational Technology Innovation Center of Synthetic Biology, Tianjin, China.
Hongwu MaNational Technology Innovation Center of Synthetic Biology, Tianjin, China.
Chinese Academy of Sciences · CNTianjin Institute of Industrial Biotechnology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The systematical characterization and understanding of the metabolic behaviors are the basis of the efficient plant metabolic engineering and synthetic biology. Genome-scale metabolic networks (GSMNs) are indispensable tools for the comprehensive characterization of overall metabolic profile. Here we first constructed a GSMN of tobacco, which is one of the most widely used plant chassis, and then combined the tobacco GSMN and multiomics analysis to systematically elucidate the impact of

Indexed as

flux balance analysisgenome-scale metabolic modelin vitro cultivationmultiomics analysistobacco

Identifiers

PMID38023876
PMCPMC10655011
OpenAlexW4388399926

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.