Evidence map›Paper›PMID 33604831›Full record

ArticleEnvironmental science and pollution research international2021

Identify the effects of urbanization on carbon emissions (EUCE): a global scientometric visualization analysis from 1992 to 2018.

Enyan Zhu, Qiuyu Qi, Mei Sha

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Spatio-Temporal Coupling Evolution of Urbanisation and Carbon Emission in the Yangtze River Economic Belt.International journal of environmental research and public health · 2023
    Article
  4. Carbon Footprint Research Based on Input-Output Model-A Global Scientometric Visualization Analysis.International journal of environmental research and public health · 2022
    Review
  5. 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

3 authors.

Enyan ZhuCollege of Transport and Communications, Shanghai Maritime University, Shanghai, 201306, China.
Qiuyu QiCollege of Ocean Science and Engineering, Shanghai Maritime University, Shanghai, 201306, China.
Mei ShaCollege of Transport and Communications, Shanghai Maritime University, Shanghai, 201306, China. meisha@shmtu.edu.cn.

Funding

Innovative Research Group Project of the National Natural Science Foundation of China 71972128
6 · The paper itself

Abstract

The effects of urbanization on carbon emissions (EUCE) are complex, while rare work has comprehensively elaborated on how various aspects affect and develop. In this study, utilizing Citespace and VOSviewer software, a global scientometric visualization analysis was conducted to excavate various impacts and future trends of urbanization on carbon emissions. Based on publications from the year 1982 to 2018, the spatial-temporal distribution of publications, collaboration, current hotspots, and future trends of EUCE were carried out. The results indicated that between 1992 and 2018, there were accelerated increasing trends of EUCE researches world widely, among which China, the USA, and UK ranked the top 3. Relevant research firstly appeared in the USA, while grew most rapidly in China. Research subjects mainly concentrate on population migration, resource consumption, land use and land cover change (LULCC), energy conservation, non-carbon greenhouse gases like CH

Indexed as

CarbonUrbanizationCarbon FootprintChinaEcosystemHumansCarbonCarbon emissionsCitespaceScientometric visualizationUrbanizationVOSviewer

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.