Evidence map›Paper›PMID 32488796›Full record

ArticleEnvironmental geochemistry and health2021

Extremely high concentrations of zinc in birch tree leaves collected in Chelyabinsk, Russia.

Tatyana G Krupnova, Olga V Rakova, Svetlana V Gavrilkina, Elizaveta G Antoshkina, Evgeny O Baranov, Anastasia P Dmitrieva, Anna V Somova

Abstract read
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In one paragraph

Article in Environmental geochemistry and health, 2021. 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
0.6field-weighted citation impact, top 37% 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, 19 citations in OpenAlex.

  1. Article
  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

7 authors at 2 institutions in 1 country.

Tatyana G KrupnovaChemistry Department, South Ural State University, 76 Lenin Prospect, Chelyabinsk, Russia, 454080. krupnovatg@susu.ru.
Olga V RakovaChemistry Department, South Ural State University, 76 Lenin Prospect, Chelyabinsk, Russia, 454080.
Svetlana V GavrilkinaSouth Urals Federal Research Center of Mineralogy and Geoecology of the Urals Branch of the Russian Academy of Sciences, Miass, Russia, 456317.
Elizaveta G AntoshkinaChemistry Department, South Ural State University, 76 Lenin Prospect, Chelyabinsk, Russia, 454080.
Evgeny O BaranovChemistry Department, South Ural State University, 76 Lenin Prospect, Chelyabinsk, Russia, 454080.
Anastasia P DmitrievaChemistry Department, South Ural State University, 76 Lenin Prospect, Chelyabinsk, Russia, 454080.
Anna V SomovaChemistry Department, South Ural State University, 76 Lenin Prospect, Chelyabinsk, Russia, 454080.
South Ural State University · RUInstitute of Mineralogy · RU

Funding

Ministry of Science and Higher Education of the Russian Federation 0853-2020-0022
6 · The paper itself

Abstract

Zinc is an essential trace element and a vital microelement for human health. Zinc can be toxic when exposures exceed physiological needs. Toxic effects in humans are most evident from inhalation exposure to high concentrations of Zn compounds. Urban air pollution can be especially dangerous due to the Zn content in airborne dust. Tree leaves can absorb significant levels of zinc. In this study, leaf deposition of Zn was investigated in Chelyabinsk, Russia. Russian zinc production plant and metallurgical plant are located in Chelyabinsk. Extremely high concentrations of Zn (316-4000 mg kg

Indexed as

Environmental MonitoringAir PollutionBetulaDustHumansMetallurgyPlant LeavesRussiaTrace ElementsTreesZincDustTrace ElementsZincBirch tree leavesMetallurgical plantMicroscopyParticulate matterZincZinc production plant

Identifiers

PMID32488796
OpenAlexW3029207809

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.