Evidence map›Paper›PMID 39301188›Full record

ArticleFrontiers in microbiology2024

Distinct bacterial signature in the raw coal with different heating value.

Haijiang Zou, Miaomiao Tian, Jianmin Xu, Guowei Li, Hui Chen, Junjun Yang, Pengtao Ling, Zhenxing Shen, Siyu Guo

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Haijiang Zou *Department of Environmental Science and Engineering, Xi'an Jiaotong University, Xi'an, China.
Miaomiao Tian *Center for Mitochondrial Biology and Medicine, The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Jianmin XuShaanxi Coalbed Methane Development Co., Shaanxi Coal and Chemical Industry Group Co., Ltd., Xi'an, Shaanxi, China.
Guowei LiShaanxi Coal Industry Company Limited, Xi'an, Shaanxi, China.
Hui ChenXijing Hospital of Digestive Diseases, Xijing Hospital of Air Force Military Medical University, Xi'an, China.
Junjun YangShaanxi Coal Industry Company Limited, Xi'an, Shaanxi, China.
Pengtao LingShaanxi Coal Industry Company Limited, Xi'an, Shaanxi, China.
Zhenxing ShenDepartment of Environmental Science and Engineering, Xi'an Jiaotong University, Xi'an, China.
Siyu GuoDepartment of Civil Engineering, Xi'an Jiaotong University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Coal represents a significant natural resource in our world, and its quality and commercial value is primarily determined by its heating capacity. Numerous scientists worldwide have attempted to explore the impact of various environmental factors on coal rank, yet their conclusions are often inconsistent. Methods: In this study, the Illumina MiSeq sequencing approach was used to analyze the bacterial community from a low-rank coal mine as well as a high-rank mine. Moreover, we investigated the relationship between the physical and chemical properties of the coal and the bacterial composition. Results: Overall, we found that the high-rank coal exhibited higher heating value but higher total sulfur and lead levels. Considering the community of bacteria, the abundances of Conclusion: This study revealed that high-rank coal had more complicated co-occurrence network and elevated

Indexed as

Anaerostipesbacterial communitycoal qualityco-occurrence networkheating value

Identifiers

PMID39301188
PMCPMC11410599

What OpenQuestion holds

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Registered trials

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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.