Evidence map›Paper›PMID 38074886›Full record

ArticleHeliyon2023

Assessing the potential of GHG emissions for the textile sector: A baseline study.

Shahid Imran, M A Mujtaba, Muhammad Manan Zafar, Amjad Hussain, Amjad Mehmood, Umm E Farwa, T Korakianitis, M A Kalam, H Fayaz, C Ahamed Saleel

Abstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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

10 authors.

Shahid ImranDepartment of Mechanical Engineering, University of Engineering and Technology (New Campus), Lahore, 54890, Pakistan.
M A MujtabaDepartment of Mechanical Engineering, University of Engineering and Technology (New Campus), Lahore, 54890, Pakistan.
Muhammad Manan ZafarDepartment of Mechanical Engineering, University of Engineering and Technology (New Campus), Lahore, 54890, Pakistan.
Amjad HussainDepartment of Mechanical Engineering, University of Engineering and Technology, Lahore, Pakistan.
Amjad MehmoodDepartment of Industrial and Manufacturing Engineering, University of Engineering and Technology, Lahore.
Umm E FarwaDepartment of Environmental Sciences, New Campus, UET., Lahore, Pakistan.
T KorakianitisParks College of Aviation & Technology, Saint Louis University, St. Louis, MO, USA.
M A KalamSchool of Civil and Environmental Engineering, FEIT, University of Technology Sydney, N.S.W., 2007, Australia.
H FayazModeling Evolutionary Algorithms Simulation and Artificial Intelligence, Faculty of Electrical & Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City, Viet Nam.
C Ahamed SaleelDepartment of Mechanical Engineering, College of Engineering, King Khalid University, Asir-Abha, 61421, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The carbon footprint (CFP) is a measure of greenhouse gases (GHGs) emitted throughout the lifecycle of a product or activity, while the energy footprint (EFP) and water footprint (WFP) measure energy and water consumption, respectively. These footprints are essential for managing emissions and consumption and promoting low-carbon consumption. A carbon labeling scheme could help consumers make informed choices. Asia is a major textile producer and consumer, so studying textiles' carbon, energy, and water footprints is essential for managing domestic emissions, energy and water consumption, and international trade negotiations. This paper presents a method and framework for assessing CFP, EFP, and WFP at the product level and calculates the footprints for textile products. The results show that the total CFP of all textile products produced is 42,624.12 MT CO

Indexed as

Carbon footprintEnergy footprintGHG emissionsTextile industriesWater footprint

Identifiers

PMID38074886
PMCPMC10700620

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.