Article in International journal of environmental research and public health, 2018. 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.
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
5 authors.
Ling YaoGuangdong 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, Guangzhou 510070, China. yaoling@lreis.ac.cn.ORCID 0000-0002-6120-5806
Changchun HuangSchool of Geography Science, Nanjing Normal University, Nanjing 210023, China. huangchangchun@njnu.edu.cn.ORCID 0000-0002-9833-5663
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, Guangzhou 510070, China. jingwl@lreis.ac.cn.ORCID 0000-0001-8021-3943
Xiafang YueState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China. lexf@lreis.ac.cn.
Yuyue XuSchool of Geography and Ocean Science, Nanjing University, Nanjing, 210023, China. xuyy@nju.edu.cn.ORCID 0000-0002-5000-4232
Funding
Guangdong Academy of Sciences 2017GDASCX-0101Guangdong Innovative and Entrepreneurial Research Team Program 2016ZT06D336National Natural Science Foundation of China 41771380,41671423
6 · The paper itself
Abstract
Analyzing the association between fine particulate matter (PM
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.
Quantitative Assessment of Relationship between Population Exposure to PM · full record | OpenQuestion