Evidence map›Paper›PMID 36078440›Full record

ArticleInternational journal of environmental research and public health2022

Distribution Pattern and Influencing Factors of Heavy Metal Resistance Genes in the Yellow River Sediments of Henan Section.

Kai Zhang, Kuangjia Li, Minghui Tong, Yangchun Xia, Yongxin Cui, Ziyi Liu, Qi Chen, Qidi Li, Feiyue Hu, Fengxia Yang

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. 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
1.3field-weighted citation impact, top 22% 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, 13 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

10 authors at 3 institutions in 1 country.

Kai ZhangSchool of Geographic Sciences, Xinyang Normal University, Xinyang 464000, China.
Kuangjia LiDevelopment Research Center, Ministry of Water Resources of People's Republic of China, Beijing 100032, China.
Minghui TongSchool of Geographic Sciences, Xinyang Normal University, Xinyang 464000, China.
Yangchun XiaSchool of Geographic Sciences, Xinyang Normal University, Xinyang 464000, China.
Yongxin CuiSchool of Geographic Sciences, Xinyang Normal University, Xinyang 464000, China.
Ziyi LiuSchool of Geographic Sciences, Xinyang Normal University, Xinyang 464000, China.
Qi ChenSchool of Geographic Sciences, Xinyang Normal University, Xinyang 464000, China.
Qidi LiSchool of Geographic Sciences, Xinyang Normal University, Xinyang 464000, China.
Feiyue HuSchool of Geographic Sciences, Xinyang Normal University, Xinyang 464000, China.
Fengxia YangAgro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China.
Xinyang Normal University · CNMinistry of Agriculture and Rural Affairs · CNMinistry of Water Resources of the People's Republic of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The transformation of heavy metal resistance genes (MRGs) in the environment has attracted increasing attention in recent years. However, few studies have reported the MRG content in the Yellow River, one of the main irrigation water sources in the North China Plain. In this study, we quantified MRG abundance by a metagenomic approach, and assessed the influence on MRGs of both bioavailable and total heavy metal (HM) content. The results indicate that Cu-resistant genes are the most common genes, and the prevalence of

Indexed as

Metals, HeavyWater Pollutants, ChemicalChinaEnvironmental MonitoringGeologic SedimentsHumansRisk AssessmentRiversMetals, HeavyWater Pollutants, Chemicalbioavailableheavy metal resistance genespotential hostssedimentYellow River

Identifiers

PMID36078440
PMCPMC9517883
OpenAlexW4293538018

What OpenQuestion holds

Textmetadata
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.