Evidence map›Paper›PMID 37687298›Full record

ArticlePlants (Basel, Switzerland)2023

Invasive

Die Hu, Irfan Ullah Khan, Jiahao Wang, Xinning Shi, Xinqi Jiang, Shanshan Qi, Zhicong Dai, Hanping Mao, Daolin Du

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Die HuSchool of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China.
Irfan Ullah KhanInstitute of Environment and Ecology, School of the Environment and Safety Engineering, Jiangsu University, Zhenjiang 212013, China.
Jiahao WangSchool of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China.
Xinning ShiInstitute of Environment and Ecology, School of the Environment and Safety Engineering, Jiangsu University, Zhenjiang 212013, China.
Xinqi JiangSchool of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China.
Shanshan QiSchool of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China.
Zhicong DaiInstitute of Environment and Ecology, School of the Environment and Safety Engineering, Jiangsu University, Zhenjiang 212013, China.ORCID 0000-0002-0748-8059
Hanping MaoSchool of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China.
Daolin DuInstitute of Environment and Ecology, School of the Environment and Safety Engineering, Jiangsu University, Zhenjiang 212013, China.

Funding

Carbon peak and carbon neutrality technology innovation foundation of Jiangsu Province BK20220030Jiangsu Planned Projects for Postdoctoral Research Funds 2021K160BNational Natural Science Foundation of China 32071521National Natural Science Foundation of China 32171509National Natural Science Foundation of China 32271587Natural Science Foundation of Jiangsu Province BK20211321Priority Academic Program Development of Jiangsu Higher Education Institutions PAPDYouth Talent cultivation Program of Jiangsu University None
6 · The paper itself

Abstract

At present, many hypotheses have been proposed to explain the mechanism of alien plants' successful invasion; the resource fluctuations hypothesis indicates that nutrient availability is a main abiotic factor driving the invasion of alien plants. Higher phosphorus utilization and absorption efficiency might be one of the important reasons for alien plants successful invasion.

Indexed as

invasion mechanismnutrient limitedphosphorus absorption efficiencyresource fluctuations hypothesis

Identifiers

PMID37687298
PMCPMC10490449

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.