Article in Nature geoscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
0numbers the graph read from it
0cells of the map it votes in
3citing 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.
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
20 authors.
Kaspar R DaellenbachAerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China.ORCID 0000-0003-1246-6396
Jing CaiAerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China.ORCID 0000-0003-4480-6498
Simo HakalaAerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China.ORCID 0000-0002-1185-9211
Lubna DadaAerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China.ORCID 0000-0003-1105-9043
Chao YanAerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China.ORCID 0000-0002-5735-9597
Wei DuAerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China.ORCID 0000-0001-7890-3099
Lei YaoAerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China.ORCID 0000-0002-2680-1629
Feixue ZhengAerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China.
Jialiang MaInstitute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, Frankfurt, Germany.
Florian UngeheuerInstitute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, Frankfurt, Germany.ORCID 0000-0002-4557-3844
Alexander L VogelInstitute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, Frankfurt, Germany.ORCID 0000-0002-1293-6370
Dominik StolzenburgAerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China.ORCID 0000-0003-1014-1360
Yufang HaoPSI Center for Energy and Environmental Sciences, Paul Scherrer Institute, Villigen, Switzerland.
Yongchun LiuAerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China.ORCID 0000-0002-9055-970X
Federico BianchiAerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China.ORCID 0000-0003-2996-3604
Gaëlle UzuCentre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Développement (IRD), Institute of Engineering and Management Univ. Grenoble Alpes (Grenoble INP), Institut des Géosciences de l'Environnement (IGE), Université Grenoble Alpes, Grenoble, France.ORCID 0000-0002-7720-0233
Jean-Luc JaffrezoCentre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Développement (IRD), Institute of Engineering and Management Univ. Grenoble Alpes (Grenoble INP), Institut des Géosciences de l'Environnement (IGE), Université Grenoble Alpes, Grenoble, France.
Douglas R WorsnopInstitute for Atmospheric and Earth System Research, Faculty of Science, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-8928-8017
Neil M DonahueCenter for Atmospheric Particle Studies, Carnegie Mellon University, Pittsburgh, PA USA.ORCID 0000-0003-3054-2364
Markku KulmalaAerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China.ORCID 0000-0003-3464-7825
Funding
No grant is acknowledged in the PubMed record.
6 · The paper itself
Abstract
Haze in Beijing is linked to atmospherically formed secondary organic aerosol, which has been shown to be particularly harmful to human health. However, the sources and formation pathways of these secondary aerosols remain largely unknown, hindering effective pollution mitigation. Here we have quantified the sources of organic aerosol via direct near-molecular observations in central Beijing. In winter, organic aerosol pollution arises mainly from fresh solid-fuel emissions and secondary organic aerosols originating from both solid-fuel combustion and aqueous processes, probably involving multiphase chemistry with aromatic compounds. The most severe haze is linked to secondary organic aerosols originating from solid-fuel combustion, transported from the Beijing-Tianjing-Hebei Plain and rural mountainous areas west of Beijing. In summer, the increased fraction of secondary organic aerosol is dominated by aromatic emissions from the Xi'an-Shanghai-Beijing region, while the contribution of biogenic emissions remains relatively small. Overall, we identify the main sources of secondary organic aerosol affecting Beijing, which clearly extend beyond the local emissions in Beijing. Our results suggest that targeting key organic precursor emission sectors regionally may be needed to effectively mitigate organic aerosol pollution.
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.
Substantial contribution of transported emissions to organic aerosol in Beijing. · full record | OpenQuestion