Evidence map›Paper›PMID 38312667›Full record

ReviewHeliyon2024

Visualization and analysis of knowledge domains for recent developments in coal mechanical properties studies.

Chen Wang, Xiaomeng Xu, Yihuai Zhang, Muhammad Arif, Siyuan Zhang, Meijuan Lan, Binshan Yu

Open access · goldAbstract readReview
In one paragraph

Review in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 35% of its field
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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. COHeliyon · 2024
    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

7 authors at 3 institutions in 3 countries.

Chen WangDepartment of Intelligent Architecture, Zhejiang College of Security Technology, Wenzhou, 325016, China.
Xiaomeng XuCollege of Quality and Safety Engineering, China Jiliang University, Hangzhou, 310018, China.
Yihuai ZhangJames Watt School of Engineering, University of Glasgow, Glasgow, G12 8QQ, UK.
Muhammad ArifDepartment of Petroleum Engineering, Khalifa University, Abu Dhabi, 2533, United Arab Emirates.
Siyuan ZhangDepartment of Intelligent Architecture, Zhejiang College of Security Technology, Wenzhou, 325016, China.
Meijuan LanDepartment of Intelligent Architecture, Zhejiang College of Security Technology, Wenzhou, 325016, China.
Binshan YuWenzhou Railway & Rail Transit Investment Group Co., Ltd, Wenzhou, China.
China Jiliang University · CNKhalifa University of Science and Technology · AEUniversity of Glasgow · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To better understand the research progress and trends in the mechanical properties of coal, and to promote theoretical research on the prevention and control of dynamic disasters, we employed the bibliometric method to analyze the research progress in this field. A total of 3450 documents from the Web of Science (WOS) core database were reviewed and analyzed. Our analysis focused on the annual distribution of literature, the distribution by country/region, organization, and author, as well as the distribution of significant source journals. We also identified research hotspots and frontiers. The results indicate a significant increase in the number of research papers on the mechanical properties of coal. China, America, Australia, India, Spain, Poland, England, Japan, South Korea, and Turkey were found to be the most active countries in this research area. The research results from China, America, and Australia were found to be the most influential, and C&BM, FUEL, INT J ROCK MECH MIN, INT J COAL GEOL, RM&RE, C&CR, and JCP were identified as the primary sources of research publications on the mechanical properties of coal. The basic theory and research system of coal mechanical properties investigation have been established, and there are numerous future research directions and areas to explore. Some current hotspots include the development of coal mechanical property models, permeability models related to mechanical properties, establishment and prediction of coal strength-temperature relationships, investigation of the proportioning scheme of granite and coal bottom ash in concrete mixes, and research on the improvement effect of fly ash on concrete manufacturing properties.

Indexed as

BibliometricsCoal mechanical propertiesKnowledge mappingVisualization

Identifiers

PMID38312667
PMCPMC10835296
OpenAlexW4391072561

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.