Evidence map›Paper›PMID 30715708›Full record

ArticleEnvironmental science and pollution research international2019

Relationship between magnetic properties and heavy metal contamination of street dust samples from Shanghai, China.

Guan Wang, Jiao Chen, Weiguo Zhang, Yuying Chen, Feifan Ren, Aidong Fang, Lijuan Ma

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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.

Guan WangDepartment of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, 200093, China.
Jiao ChenDepartment of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, 200093, China.
Weiguo ZhangState Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, 200062, China.
Yuying ChenDepartment of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, 200093, China.
Feifan RenKey Laboratory of Geotechnical and Underground Engineering of the Ministry of Education, Tongji University, Shanghai, 200092, China. feifan_ren@tongji.edu.cn.ORCID http://orcid.org/0000-0002-2500-541X
Aidong FangDepartment of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, 200093, China.
Lijuan MaDepartment of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, 200093, China.

Funding

National Natural Science Foundation of China 41001331?41874077Natural Science Foundation of Shanghai 15ZR1428700
6 · The paper itself

Abstract

In this study, for exploring the relationship between selected magnetic properties and heavy metal contamination of street dust in Shanghai, China, 160 samples from five different functional areas (industrial, high traffic density, commercial, residential and "clean" area) were collected and investigated by magnetic and geochemical analyses. It is found that the street dust exhibits a high concentration of ferrimagnetic minerals, which are predominantly coarse-grained. Meantime, the magnetic properties of the street dust samples exhibit significant differences between the five functional areas, namely, the values of χ

Indexed as

Environmental MonitoringAir PollutantsChinaCitiesDustEnvironmental PollutionIndustryMagneticsMetals, HeavyAir PollutantsDustMetals, HeavyHeavy metalsMagnetic propertiesShanghaiStreet dust

Identifiers

PMID30715708

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.