Evidence map›Paper›PMID 38388977›Full record

ReviewEnvironmental science and pollution research international2024

Intelligent mine safety risk based on knowledge graph: hotspots and frontiers.

Dongping Shi, Zhong Chen, Xiaoqiang Zhang, Chengyu Xie

Abstract readReview
PubMed Publisher
In one paragraph

Review in Environmental science and pollution research international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

4 authors.

Dongping ShiCollege of Environment and Resources, Xiangtan University, Xiangtan, 411105, China.
Zhong ChenCollege of Environment and Resources, Xiangtan University, Xiangtan, 411105, China.
Xiaoqiang ZhangCollege of Environment and Resources, Xiangtan University, Xiangtan, 411105, China. kdyoung@126.com.
Chengyu XieCollege of Environment and Resources, Xiangtan University, Xiangtan, 411105, China.

Funding

Foundation of Key Laboratory of Large Structure Health Monitoring and Control in Hebei Province KLLSHMC2104Natural Science Foundation of Hunan Province 2021JJ40538Scientific Research Foundation of Hunan Provincial Education Department 21B0133
6 · The paper itself

Abstract

The safety of mining has always been a concern. The occurrence of safety accidents not only endangers human health, but also causes serious damage to the ecological environment. With the continuous upgrade and improvement of mining technology, most mines are undergoing intelligent construction and transformation. In order to analyze security risks that should be focused on the construction of intelligent mines and the technical challenges that will be faced, we used the Web of Science (WOS) Core Collection to identify 283 publications on the field of security risks in intelligent mines from 2013 to 2022. We combined the Vosviewer, CiteSpace, and Bibliometrix R software packages to conduct an in-depth analysis and exquisite visualization of the literature, including the authors, journals, countries, hot topics, and research frontiers. This paper can help scholars comprehensively and quickly understand the research status and hotspots in the field of intelligent mine safety and risk, and it provides theoretical support for further research and exploration in the future.

Indexed as

EnvironmentPattern Recognition, AutomatedHeadHumansKnowledgeTechnologyBibliometric analysisIntelligent mineRiskSafetyVisualization

Identifiers

PMID38388977

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.