Evidence map›Paper›PMID 35632134›Full record

ArticleSensors (Basel, Switzerland)2022

Identification of Factors Affecting Environmental Contamination Represented by Post-Hatching Eggshells of a Common Colonial Waterbird with Usage of Artificial Neural Networks.

Agnieszka Sujak, Dariusz Jakubas, Ignacy Kitowski, Piotr Boniecki

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. 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
–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. 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

4 authors.

Agnieszka SujakDepartment of Biosystem Engineering, Faculty of Environmental Engineering and Mechanical Engineering, University of Life Sciences in Poznań, Wojska Polskiego 50, 60-627 Poznań, Poland.ORCID 0000-0001-5616-3827
Dariusz JakubasDepartment of Vertebrate Ecology and Zoology, Faculty of Biology, University of Gdańsk, Wita Stwosza 59, 80-308 Gdańsk, Poland.ORCID 0000-0002-1879-4342
Ignacy KitowskiDepartment of Zoology and Animal Ecology, University of Life Sciences in Lublin, Akademicka 13, 20-950 Lublin, Poland.
Piotr BonieckiDepartment of Biosystem Engineering, Faculty of Environmental Engineering and Mechanical Engineering, University of Life Sciences in Poznań, Wojska Polskiego 50, 60-627 Poznań, Poland.ORCID 0000-0002-9239-4072

Funding

Ministry of Science and Higher Education programme as "Regional Initiative Excellence" in years 2019-2022 No. 005/RID/2018/19
6 · The paper itself

Abstract

Artificial Neural Networks are used to find the influence of habitat types on the quality of the environment expressed by the concentrations of toxic and harmful elements in avian tissue. The main habitat types were described according to the Corine Land Cover CLC2012 model. Eggs of free-living species of a colonial waterbird, the grey heron

Indexed as

Egg ShellMetals, HeavyAnimalsBirdsCadmiumEnvironmental MonitoringEnvironmental PollutionHumansNeural Networks, ComputerCadmiumMetals, Heavyartificial neural networksbiomaterialbiomonitoringelemental analysisgrey heron

Identifiers

PMID35632134
PMCPMC9143455

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.