Evidence map›Paper›PMID 40584334›Full record

ArticleACS omega2025

Geochemistry of the Late Permian Coal in Northeast Yunnan, China: Provenance and Paleoenvironmental Implications.

Haoyi Wang, Juan Wang, Longyi Shao, Hao Wang

Abstract read
In one paragraph

Article in ACS omega, 2025. 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.

Haoyi WangSchool of Resources and Environment, Henan Polytechnic University, Jiaozuo 454003, China.ORCID https://orcid.org/0009-0000-9507-2602
Juan WangSchool of Resources and Environment, Henan Polytechnic University, Jiaozuo 454003, China.ORCID https://orcid.org/0000-0001-7193-4386
Longyi ShaoCollege of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China.ORCID https://orcid.org/0000-0001-9975-6091
Hao WangCollege of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Late Permian was characterized by significant and concurrent transformations in Earth's biological, climatic, and environmental systems. The Weixin region in the eastern Yunnan Province contains extensive Late Permian coal deposits, providing an ideal setting for investigating paleoenvironmental and paleoclimatic changes. Using X-ray fluorescence spectrometry and inductively coupled plasma mass spectrometry, we analyzed major element, trace element, and rare earth element concentrations in 40 whole-layer samples from five coal seams within the Late Permian Xuanwei Formation at the Yujing Mountain Mining Area. The results indicate that the elements in the Late Permian Xuanwei Formation coal of Yujing Mountain, Weixin, Yunnan, are relatively enriched in the coal layers near the roof and floor strata as well as in the lower C7 coal seam. This enrichment may be associated with high ash content and leaching processes, providing valuable insights for prospecting critical metal enrichment in the study area. During the coal-forming period, the study area experienced frequent alternations between dry and wet climatic conditions and recurrent marine transgressions, with an overall transition from a hot and humid environment to a warm and humid climate. The provenance of the study area shows mixed sources, with the source rocks primarily derived from the Emeishan large igneous province to the north.

Identifiers

PMID40584334
PMCPMC12199012

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.