The mobile monitoring of black carbon and its association with roadside data in the Chinese megacity of Shanghai.

Xiao-Ning Lei, Ji-Wei Bian, Guang-Li Xiu, Xiao-Feng Hu, Xin-Sheng Gu, Qing-Gen Bian

Abstract read

In one paragraph

Article in Environmental science and pollution research international, 2017. 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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

Spatial distribution of greenhouse gases (COEnvironmental science and pollution research international · 2020
Article

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

6 authors.

Xiao-Ning LeiState Environmental Protection Key Laboratory of Risk Assessment and Control on Chemical Processes, East China University of Science and Technology (ECUST), Shanghai, 200237, China.

Ji-Wei BianState Environmental Protection Key Laboratory of Risk Assessment and Control on Chemical Processes, East China University of Science and Technology (ECUST), Shanghai, 200237, China.

Guang-Li XiuState Environmental Protection Key Laboratory of Risk Assessment and Control on Chemical Processes, East China University of Science and Technology (ECUST), Shanghai, 200237, China. xiugl@ecust.edu.cn.

Xiao-Feng HuState Environmental Protection Key Laboratory of Risk Assessment and Control on Chemical Processes, East China University of Science and Technology (ECUST), Shanghai, 200237, China.

Xin-Sheng GuState Environmental Protection Key Laboratory of Risk Assessment and Control on Chemical Processes, East China University of Science and Technology (ECUST), Shanghai, 200237, China.

Qing-Gen BianShanghai Environmental Monitoring Center, Shanghai, 200030, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-level black carbon (BC) pollution is associated with traffic emissions in metropolitan areas with high vehicle density. Mobile monitoring was conducted to assess the in-vehicle BC exposure on three backbone ring roads (inner, middle, and outer ring roads) on October 14 and October 18, 2015 in Shanghai. Ambient BC monitoring was also simultaneously conducted in three fixed roadside stations from October 14 to October 20, 2015. Results of the mobile monitoring showed median BC personal exposure concentrations ranging from 5.0 μg m

Indexed as

Environmental MonitoringAir PollutantsChinaCitiesSootVehicle EmissionsAir PollutantsSootVehicle EmissionsBlack carbonFixed monitoringMobile monitoringPersonal exposure

Identifiers

PMID28111722

DOI10.1007/s11356-017-8454-2

What OpenQuestion holds

Textmetadata

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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.