Evidence map›Paper›PMID 36787073›Full record

ArticleEnvironmental science and pollution research international2023

The impact of industrial pollution on the populations of small mammals in Northern Kazakhstan.

Assel Zakanova, Nurlan Yerzhanov, Yuri Litvinov

RetractedAbstract readRetracted Publication
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. 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. Heavy metal toxicity in poultry: a comprehensive review.Frontiers in veterinary science · 2023
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Assel ZakanovaDepartment of Biology and Ecology, Toraighyrov University, Pavlodar, Republic of Kazakhstan. assel.zakanova@gmail.com.
Nurlan YerzhanovDepartment of Biology and Ecology, Toraighyrov University, Pavlodar, Republic of Kazakhstan.
Yuri LitvinovDepartment of Biology and Ecology, Toraighyrov University, Pavlodar, Republic of Kazakhstan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The relevance of the article lies in the significant reduction of the mammal population in the areas of heavy industry enterprises located in Kazakhstan. The aim of the research is to investigate the technogenic pollution's impact level on the representatives of the species of Rodents and Insectivores order in Northern Kazakhstan. The result of the work on the analysis of the species composition of small mammals in the technogenic territories of Northern Kazakhstan in comparison with the control zone in 2021 is presented. Technogenic sites were located in the vicinity of industrial enterprises. The following methods were used in the study: complex analysis, the method of record lines, and the method of statistical data processing. During the study, 15 species of animals were noted at all sites: 11 species of the Rodentia order and 4 species of representatives of the Eulipotyphla order. The registered animals were classified according to their distance from the emission sources. The dominance index was calculated. The calculation results were marked by low indicators in the impact and buffer territories and an increase in the background and control areas. All plots have dominant species. With the increase in anthropogenic influence and the approximation of the sources of emissions, the number of small mammal species decreases, the structure is simplified, and biodiversity is reduced.

Indexed as

Environmental PollutionMammalsAnimalsBiodiversityKazakhstanRodentiaDiversity indexDominance indexHeavy industryInsectivoresRodentsTechnogenic pollution

Identifiers

What OpenQuestion holds

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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.