Evidence map›Paper›PMID 34777950›Full record

ReviewCurrent pollution reports2021

Unprecedented Impacts of Aviation Emissions on Global Environmental and Climate Change Scenario.

Farooq Sher, David Raore, Jiří Jaromír Klemeš, Piyya Muhammad Rafi-Ul-Shan, Martin Khzouz, Kristina Marintseva, Omid Razmkhah

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Current pollution reports, 2021. 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.

  1. Article
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  3. Review
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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

7 authors.

Farooq SherDepartment of Engineering, School of Science and Technology, Nottingham Trent University, Nottingham, NG11 8NS UK.ORCID 0000-0003-2890-5912
David RaoreSchool of Mechanical, Aerospace and Automotive Engineering, Faculty of Engineering, Environmental and Computing, Coventry University, Coventry, CV1 5FB UK.
Jiří Jaromír KlemešSustainable Process Integration Laboratory - SPIL, Faculty of Mechanical Engineering, NETME Centre, Brno University of Technology - VUT Brno, Technická 2896/2, 616 69 Brno, Czech Republic.
Piyya Muhammad Rafi-Ul-ShanCardiff School of Management, Cardiff Metropolitan University, Cardiff, CF5 2YB UK.
Martin KhzouzSchool of Mechanical, Aerospace and Automotive Engineering, Faculty of Engineering, Environmental and Computing, Coventry University, Coventry, CV1 5FB UK.
Kristina MarintsevaSchool of Mechanical, Aerospace and Automotive Engineering, Faculty of Engineering, Environmental and Computing, Coventry University, Coventry, CV1 5FB UK.
Omid RazmkhahSchool of Mechanical, Aerospace and Automotive Engineering, Faculty of Engineering, Environmental and Computing, Coventry University, Coventry, CV1 5FB UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There has been a continuously growing trend in international commercial air traffic, with the exception of COVID-19 crises; however, after the recovery, the trend is expected to even sharpen. The consequences of released emissions and by-products in the environment range from human health hazards, low air quality and global warming. This study is aimed to investigate the role of aviation emissions in global warming. For this purpose, data on different variables including global air traffic and growth rate, air traffic in different continents, total global CO GRAPHICAL ABSTRACT:

Indexed as

Air traffic flowAviation emissionsAviation fuelsEnvironmental pollutionGreenhouse gas (GHG) emissionsSustainable alternative fuels and COVID-19

Identifiers

PMID34777950
PMCPMC8578007

What OpenQuestion holds

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LicenceCC BY
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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.