Evidence map›Paper›PMID 33236243›Full record

ArticleInternational journal of biometeorology2021

Toward the creation of an ontology for the coupling of atmospheric electricity with biological systems.

Snezana Savoska, P Fdez-Arroyabe, M Cifra, K Kourtidis, E Rozanov, K Nicoll, S Dragovic, L M Mir

Abstract read
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In one paragraph

Article in International journal of biometeorology, 2021. 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

8 authors.

Snezana SavoskaUniversity St. Kliment Ohridski Bitola, Bitola, Republic of North Macedonia. snezana.savoska@uklo.edu.mk.ORCID http://orcid.org/0000-0002-0539-1771
P Fdez-ArroyabeGeography and Planning Department, Universidad de Cantabria, 39005, Santander, Spain.
M CifraInstitute of Photonics and Electronics of the Czech Academy of Sciences, Prague, Czechia.
K KourtidisEnvironmental and Networking Technologies and Applications Unit (ENTA), Athena Research and Innovation Center, Xanthi, Greece.
E RozanovPMOD/WRC and IAC ETHZ, Davos, Switzerland.
K NicollDepartment of Meteorology, University of Reading, Reading, UK.
S DragovicVinca Institute of Nuclear Sciences, University of Belgrade, Belgrade, Serbia.
L M MirUniversité Paris-Saclay, CNRS, Institut Gustave Roussy, Metabolic and systemic aspects of oncogenesis (METSY), 94805, Villejuif, France, Université Paris-Saclay, Villejuif, France.

Funding

European Cooperation in Science and Technology CA15211
6 · The paper itself

Abstract

Atmospheric electric fields (AEFs) are produced by both natural processes and electrical infrastructure and are increasingly recognized to influence and interfere with various organisms and biological processes, including human well-being. Atmospheric electric fields, in particular electromagnetic fields (EMFs), currently attract a lot of scientific attention due to emerging technologies such as 5G and satellite internet. However, a broader retrospective analysis of available data for both natural and artificial AEFs and EMFs is hampered due to a lack of a semantic approach, preventing data sharing and advancing our understanding of its intrinsic links. Therefore, here we create an ontology (ENET_Ont) for existing (big) data on AEFs within the context of biological systems that is derived from different disciplines that are distributed over many databases. Establishing an environment for data sharing provided by the proposed ontology approach will increase the value of existing data and facilitate reusability for other communities, especially those focusing on public health, ecology, environmental health, biology, climatology as well as bioinformatics.

Indexed as

ElectricityElectromagnetic FieldsHumansInformation DisseminationRetrospective StudiesSemanticsAtmospheric electric fields (AEF)Biological systemsExposomeOntology

Identifiers

PMID33236243

What Socratic holds

Textmetadata
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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 Socratic graph.