Evidence map›Paper›PMID 40003171›Full record

ArticleEntropy (Basel, Switzerland)2025

Statistical Characteristics of Strong Earthquake Sequence in Northeastern Tibetan Plateau.

Ying Wang, Rui Wang, Peng Han, Tao Zhao, Miao Miao, Lina Su, Zhaodi Jin, Jiancang Zhuang

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 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

8 authors.

Ying WangShaanxi Earthquake Agency, Xi'an 710068, China.
Rui WangDepartment of Earth and Space Science, Southern University of Science and Technology, Shenzhen 518055, China.ORCID 0000-0002-9235-2657
Peng HanDepartment of Earth and Space Science, Southern University of Science and Technology, Shenzhen 518055, China.ORCID 0000-0002-9997-8505
Tao ZhaoShaanxi Earthquake Agency, Xi'an 710068, China.
Miao MiaoDepartment of Earth and Space Science, Southern University of Science and Technology, Shenzhen 518055, China.ORCID 0000-0002-2867-1362
Lina SuShaanxi Earthquake Agency, Xi'an 710068, China.
Zhaodi JinShaanxi Earthquake Agency, Xi'an 710068, China.
Jiancang ZhuangInstitute of Statistical Mathematics, Tokyo 190-8562, Japan.ORCID 0000-0002-9708-3871

Funding

National Key Research and Development Program of China 2023YFC3012000the Earthquake Science and Technology Spark Program XH23038Athe National Natural Science Foundation of China 42404063the Special Fund of the Institute of Geophysics, China Earthquake Administration DQJB24Z014
6 · The paper itself

Abstract

As the forefront of inland extension on the Indian plate, the northeastern Tibetan Plateau, marked by low strain rates and high stress levels, is one of the regions with the highest seismic risk. Analyzing seismicity through statistical methods holds significant scientific value for understanding tectonic conditions and assessing earthquake risk. However, seismic monitoring capacity in this region remains limited, and earthquake frequency is low, complicating efforts to improve earthquake catalogs through enhanced identification and localization techniques. Bi-scale empirical probability integral transformation (BEPIT), a statistical method, can address these data gaps by supplementing missing events shortly after moderate to large earthquakes, resulting in a more reliable statistical data set. In this study, we analyzed six earthquake sequences with magnitudes of

Indexed as

bi-scale transformationb valueearthquake sequenceETAS modelstatistical analysis

Identifiers

PMID40003171
PMCPMC11853782

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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.