Evidence map›Paper›PMID 38489362›Full record

ArticleScience advances2024

Distinctive volcanic ash-rich lacustrine shale deposition related to chemical weathering intensity during the Late Triassic: Evidence from lithium contents and isotopes.

Quanyou Liu, Peng Li, Lei Jiang, Zhijun Jin, Xinping Liang, Dongya Zhu, Qian Pang, Rui Zhang, Jiayi Liu

Open access · goldAbstract read
In one paragraph

Article in Science advances, 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
12.5field-weighted citation impact, top 1% 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

2 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
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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 at 4 institutions in 1 country.

Quanyou LiuInstitute of Energy, Peking University, Beijing 100871, China.ORCID 0000-0003-2334-2532
Peng LiState Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development, Beijing 100083, China.ORCID 0000-0003-4992-6798
Lei JiangKey Laboratory of Cenozoic Geology and Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China.ORCID 0000-0002-7591-8399
Zhijun JinInstitute of Energy, Peking University, Beijing 100871, China.ORCID 0000-0001-9739-981X
Xinping LiangInstitute of Energy, Peking University, Beijing 100871, China.ORCID 0000-0003-0994-9290
Dongya ZhuState Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development, Beijing 100083, China.ORCID 0000-0001-8398-6765
Qian PangState Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development, Beijing 100083, China.
Rui ZhangInstitute of Energy, Peking University, Beijing 100871, China.ORCID 0000-0001-5550-9160
Jiayi LiuState Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development, Beijing 100083, China.
Peking University · CNSinopec (China) · CNChinese Academy of Sciences · CNState Key Laboratory of Oil and Gas Reservoir Geology and Exploitation · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Late Triassic Carnian Pluvial Episode (CPE) witnessed enormous climate change closely associated with volcanic activity. However, the coupling relationship between volcanic activity and climate change, which may be linked to chemical weathering, has not yet been fully uncovered. We used lithium contents and isotopes of volcanic ash (VA)-bearing lacustrine shale to constrain their deposition pathways and response to climate changes, i.e., weathering intensity, during the Late Triassic era. Elevated δ

Identifiers

PMID38489362
PMCPMC10942117
OpenAlexW4392857171

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.