Evidence map›Paper›PMID 38379043›Full record

SynthesisEnvironmental science and pollution research international2024

Bibliometric analysis on mercury emissions from coal-fired power plants: a systematic review and future prospect.

Qi Liu, Jiajia Gao, Guoliang Li, Yang Zheng, Rui Li, Tao Yue

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis 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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Qi LiuSchool of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, China.
Jiajia GaoSchool of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, China.
Guoliang LiSchool of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, China.
Yang ZhengSchool of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, China.
Rui LiSchool of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, China.
Tao YueSchool of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, China. yuetao@ustb.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coal-fired power plants (CFPPs) are one of the most significant sources of mercury (Hg) emissions certified by the Minamata Convention, which has attracted much attention in recent years. In this study, we used the Web of Science and CiteSpace to analyze the knowledge structure of this field from 2000 to 2022 and then reviewed it systematically. The field of Hg emissions from coal-fired power plants has developed steadily. The research hotspots can be divided into three categories: (1) emission characterization research focused on speciation changes and emission calculations; (2) emission control research focused on control technologies; (3) environmental impact research focused on environmental pollution and health risk. In conclusion, using an oxygen-rich atmosphere for combustion and installing high-efficiency air pollution control devices (APCDs) helped to reduce the formation of Hg

Indexed as

Air PollutantsCoalMercuryPower PlantsAir PollutionBibliometricsChinaEnvironmental MonitoringEnvironmental PollutionAir PollutantsCoalMercuryCoal-fired power plants (CFPPs)Emission characteristicsEmission controlEnvironmental impactMercury emissions

Identifiers

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.