Evidence map›Paper›PMID 35050474›Full record

ArticleEnvironmental science and pollution research international2022

The comparative landscape of Chinese and foreign articles on the carbon footprint using bibliometric analysis.

Rong Wu, Yundong Xie, Yezhu Wang, Zhi Li, Li Hou

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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. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Rong WuInternational Institute of Finance, School of Management, University of Science and Technology of China, 96 Jinzhai Road, Hefei, 230026, People's Republic of China.
Yundong XieInternational Institute of Finance, School of Management, University of Science and Technology of China, 96 Jinzhai Road, Hefei, 230026, People's Republic of China. ydxie@ustc.edu.cn.ORCID http://orcid.org/0000-0003-3663-4171
Yezhu WangInternational Institute of Finance, School of Management, University of Science and Technology of China, 96 Jinzhai Road, Hefei, 230026, People's Republic of China.
Zhi LiInternational Institute of Finance, School of Management, University of Science and Technology of China, 96 Jinzhai Road, Hefei, 230026, People's Republic of China.
Li HouInternational Institute of Finance, School of Management, University of Science and Technology of China, 96 Jinzhai Road, Hefei, 230026, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, the carbon footprint is regarded as the most important assessment tool of greenhouse gas emissions; it has attracted great attention of Chinese and foreign governments, enterprises, and relevant scholars. However, the comparative bibliometric analysis of Chinese and foreign articles on the carbon footprint research is still limited; thus, it has become the motivation of the present study. To quantitatively analyse the bibliometric differences between Chinese and foreign literature of the carbon footprint research, 673 Chinese articles and 3755 foreign articles between 2007 and 2020 were extracted from the Web of Science Core Collection database. On this basis, the publications, publishers, journals, authors, and institutions of Chinese and foreign articles were compared, and especially, the keyword and citation analysis results were obtained via the biblioshiny tool of bibliometrix R package. Results show that the output and influence of foreign articles are more prominent than Chinese articles in general. The foreign carbon footprint research is more systematic and mature than Chinese research, and both sides have some research topics of common concern and maintain their own research characteristics. Specific results may provide some reference for relevant researchers, policy makers, and the public.

Indexed as

BibliometricsCarbon FootprintChinaDatabases, FactualInternationalityBibliometric analysisCarbon footprintChinese articlesCitation analysisForeign articles

Identifiers

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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.