Evidence map›Paper›PMID 30506383›Full record

ArticleEnvironmental science and pollution research international2019

Using magnetic susceptibility to evaluate pollution status of the sediment for a typical reservoir in northwestern China.

Huiyun Pan, Xinwei Lu, Kai Lei, Dongqi Shi, Chunhui Ren, Linna Yang, Lijun Wang

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2019. 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
0.6field-weighted citation impact, top 35% 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

1 citing paper in PubMed, 14 citations in OpenAlex.

  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

7 authors at 3 institutions in 1 country.

Huiyun PanDepartment of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, People's Republic of China.
Xinwei LuDepartment of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, People's Republic of China. luxinwei@snnu.edu.cn.
Kai LeiSchool of Environment, Beijing Normal University, Beijing, 100875, People's Republic of China.
Dongqi ShiDepartment of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, People's Republic of China.
Chunhui RenDepartment of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, People's Republic of China.
Linna YangDepartment of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, People's Republic of China.
Lijun WangDepartment of Environmental Science, School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, People's Republic of China.
Shaanxi Normal University · CNBeijing Normal University · CNHenan Polytechnic University · CN

Funding

Fundamental Research Funds for the Central University GK201601009 and 2017TS027National Natural Science Foundation of China 41271510
6 · The paper itself

Abstract

Intensive anthropogenic activities may add to pollution risks to lakes and rivers, which can be revealed by the magnetic characteristics of sediments. The present study aims to assess the pollution status of the sediment of a typical reservoir in northwestern China by application of magnetic susceptibility. The values of magnetic susceptibility exhibited significant positive correlations with trace metals (Co, Cu, Mn, Ni, and V) and natural radionuclides (

Indexed as

ChinaEnvironmental MonitoringGeologic SedimentsLakesLinear ModelsMagneticsMetalsMultivariate AnalysisPotassium RadioisotopesThoriumWater Pollutants, ChemicalWater Pollution, ChemicalMetalsPotassium-40Potassium RadioisotopesThoriumThorium-232Water Pollutants, ChemicalEnvironmental magnetism methodNatural radionuclidePollution indicatorSource discriminationTrace metal

Identifiers

PMID30506383
OpenAlexW2903257623

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.