Evidence map›Paper›PMID 33405164›Full record

ArticleEnvironmental science and pollution research international2021

Assessment and prediction of environmental sustainability: novel grey models comparative analysis of China vs. the USA.

Muhammad Ikram, Robert Sroufe, Qingyu Zhang, Marcos Ferasso

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.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. The nexus of sectoral-based COEnvironmental science and pollution research international · 2021
    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

4 authors.

Muhammad IkramCollege of Management, Research Institute of Business Analytics and Supply Chain Management, Shenzhen University, Shenzhen, 518060, China.
Robert SroufeDonahue Graduate School of Business, Duquesne University, 820 Rockwell Hall, 600 Forbes Avenue, Pittsburg, PA, USA.
Qingyu ZhangCollege of Management, Research Institute of Business Analytics and Supply Chain Management, Shenzhen University, Shenzhen, 518060, China. q.yu.zhang@gmail.com.
Marcos FerassoApplied Social Sciences Department, Community University of Chapeco Region, Servidao Anjo da Guarda, 295D, Chapeco, SC, 89809-900, Brazil.

Funding

Major Program of Social Science Foundation of Guangdong 2016WZDXM005National Natural Science Foundation of China 71572115Natural Science Foundation of SZU 836
6 · The paper itself

Abstract

Emission forecasting is vital for policy-making and emission reduction goals globally. This research aimed to perform an accurate model for forecasting and assessing CO

Indexed as

Carbon DioxideElectricityChinaForecastingCarbon DioxideCarbon dioxide (CO2) emissionsEmission forecastingEnvironmental sustainabilityGrey modelsPredictionRenewable energy

Identifiers

PMID33405164

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.