Article in Environmental science and pollution research international, 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
0.3field-weighted citation impact, top 42% of its field
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, 7 citations in OpenAlex.
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
6 authors at 2 institutions in 1 country.
Xiaolin XiaGuangdong Open Laboratory of Geospatial Information Technology and Application, Key Laboratory of Guangdong for Utilization of Remote Sensing and Geographical Information System, Engineering Technology Center of Remote Sensing Big Data Application of Guangdong Province, Guangzhou Institute of Geography, Guangdong Academy of Sciences, 510070, Guangzhou, People's Republic of China.
Ling YaoState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, People's Republic of China. yaoling@lreis.ac.cn.ORCID http://orcid.org/0000-0002-6120-5806
Jiaying LuState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, People's Republic of China.
Yangxiaoyue LiuGuangdong Open Laboratory of Geospatial Information Technology and Application, Key Laboratory of Guangdong for Utilization of Remote Sensing and Geographical Information System, Engineering Technology Center of Remote Sensing Big Data Application of Guangdong Province, Guangzhou Institute of Geography, Guangdong Academy of Sciences, 510070, Guangzhou, People's Republic of China.
Wenlong JingGuangdong Open Laboratory of Geospatial Information Technology and Application, Key Laboratory of Guangdong for Utilization of Remote Sensing and Geographical Information System, Engineering Technology Center of Remote Sensing Big Data Application of Guangdong Province, Guangzhou Institute of Geography, Guangdong Academy of Sciences, 510070, Guangzhou, People's Republic of China.
Yong LiGuangdong Open Laboratory of Geospatial Information Technology and Application, Key Laboratory of Guangdong for Utilization of Remote Sensing and Geographical Information System, Engineering Technology Center of Remote Sensing Big Data Application of Guangdong Province, Guangzhou Institute of Geography, Guangdong Academy of Sciences, 510070, Guangzhou, People's Republic of China.
Guangdong Academy of Sciences · CNChinese Academy of Sciences · CN
Funding
china postdoctoral science foundation 2020M682628gdas' project of science and technology development 2020GDASYL-20200103003gdas' project of science and technology development 2020GDASYL-20200103006key special project for introduced talents team of southern marine science and engineering guangdong labora-tory GML2019ZD0301national natural science foundation of china 41771380national postdoctoral program for innovative talents BX20200100
6 · The paper itself
Abstract
Association between fine particulate matter (PM
Indexed as
Air PollutantsAir PollutionChinaCitiesEnvironmental ExposureHumansParticulate MatterAir PollutantsParticulate MatterAcute upper respiratory diseaseCausative impactConvergent cross mappingDistributed lag nonlinear modelFine particulate matterHealth effect
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.
Observed causative impact of fine particulate matter on acute upper respiratory disease: a comparative study in two typical cities in China. · full record | OpenQuestion