Evidence map›Paper›PMID 39460865›Full record

ArticleEnvironmental science and pollution research international2024

Assessment of background dose rate on non-human biota in a Mediterranean terrestrial ecosystem.

Javier Guillén, Almudena Real, Alejandro Salas, Danyl Pérez, Juan Gabriel Muñoz-Muñoz, Alicia Escribano, Agustina Sterling

Abstract read
In one paragraph

Article in Environmental science and pollution research international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Javier GuillénLARUEX, Facultad de Veterinaria, Universidad de Extremadura, Avda. Universidad, s/n, 10003, Cáceres, España. fguillen@unex.es.ORCID http://orcid.org/0000-0003-4351-9286
Almudena RealCIEMAT, Radiation Protection of the Public and the Environment, CIEMAT, Avda. Complutense, 40, 28040, Madrid, Spain.
Alejandro SalasLARUEX, Facultad de Veterinaria, Universidad de Extremadura, Avda. Universidad, s/n, 10003, Cáceres, España.
Danyl PérezCIEMAT, Radiation Protection of the Public and the Environment, CIEMAT, Avda. Complutense, 40, 28040, Madrid, Spain.
Juan Gabriel Muñoz-MuñozLARUEX, Facultad de Veterinaria, Universidad de Extremadura, Avda. Universidad, s/n, 10003, Cáceres, España.
Alicia EscribanoCIEMAT, Radiation Protection of the Public and the Environment, CIEMAT, Avda. Complutense, 40, 28040, Madrid, Spain.
Agustina SterlingCSN, Nuclear Safety Council, c/ Pedro Justo Delgado Dellmans, 11, 28040, Madrid, Spain.

Funding

Consejo de Seguridad Nuclear SUBV-31/2021Junta de Extremadura FQM001
6 · The paper itself

Abstract

The assessment of radiological impact to the environment is usually carried out by the dose rate estimation to hypothetical entities named Reference Animals and Plants (RAPs). There are many codes to carry out this assessment, which requires the definition of a scenario and using site-specific transfer parameters when possible. Transfer parameters present a geographical bias, as they are mostly derived from temperate and arctic climate datasets, but there is a scarcity of data for Mediterranean climates. In this study, a terrestrial Mediterranean scenario was defined using the distribution of activity concentrations of anthropogenic (

Indexed as

BiotaEcosystemRadiation MonitoringAnimalsBackground RadiationPlantsRadioisotopesSoil Pollutants, RadioactiveSpainRadioisotopesSoil Pollutants, RadioactiveDose rateERICA ToolMediterraneanNon-human biotaRAP

Identifiers

PMID39460865
PMCPMC11599312

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.