Evidence map›Paper›PMID 32401017›Full record

ArticleEnvironmental science & technology2020

Constraining Atmospheric Selenium Emissions Using Observations, Global Modeling, and Bayesian Inference.

Aryeh Feinberg, Andrea Stenke, Thomas Peter, Lenny H E Winkel

Abstract read
In one paragraph

Article in Environmental science & technology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Aryeh FeinbergInstitute for Atmospheric and Climate Science, ETH Zurich, Zurich 8092, Switzerland.ORCID 0000-0001-5325-4731
Andrea StenkeInstitute for Atmospheric and Climate Science, ETH Zurich, Zurich 8092, Switzerland.
Thomas PeterInstitute for Atmospheric and Climate Science, ETH Zurich, Zurich 8092, Switzerland.
Lenny H E WinkelInstitute of Biogeochemistry and Pollutant Dynamics, ETH Zurich, Zurich 8092, Switzerland.ORCID 0000-0001-7586-7256

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Selenium (Se) is an essential dietary element for humans and animals, and the atmosphere is an important source of Se to soils. However, estimates of global atmospheric Se fluxes are highly uncertain. To constrain these uncertainties, we use a global model of atmospheric Se cycling and a database of more than 600 sites where Se in aerosol has been measured. Applying Bayesian inference techniques, we determine the probability distributions of global Se emissions from the four major sources: anthropogenic activities, volcanoes, marine biosphere, and terrestrial biosphere. Between 29 and 36 Gg of Se are emitted to the atmosphere every year, doubling previous estimates of emissions. Using emission parameters optimized by aerosol network measurements, our model shows good agreement with the aerosol Se observations (

Indexed as

SeleniumAerosolsAtmosphereBayes TheoremHumansNorth AmericaAerosolsSelenium

Identifiers

PMID32401017
PMCPMC7301612

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.