Evidence map›Paper›PMID 31953465›Full record

ArticleScientific reports2020

In situ Rb-Sr dating of slickenfibres in deep crystalline basement faults.

Mikael Tillberg, Henrik Drake, Thomas Zack, Ellen Kooijman, Martin J Whitehouse, Mats E Åström

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Thermochronologic perspectives on the deep-time evolution of the deep biosphere.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  3. Journal of analytical atomic spectrometry · 2021
    Article
  4. 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.

Mikael TillbergDepartment of Biology and Environmental Science, Linnaeus University, 39231, Kalmar, Sweden. mikael.tillberg@lnu.se.ORCID http://orcid.org/0000-0003-3101-5873
Henrik DrakeDepartment of Biology and Environmental Science, Linnaeus University, 39231, Kalmar, Sweden.ORCID http://orcid.org/0000-0001-7230-6509
Thomas ZackDepartment of Earth Sciences, Gothenburg University, 40530, Gothenburg, Sweden.ORCID http://orcid.org/0000-0003-4747-4134
Ellen KooijmanDepartment of Geosciences, Swedish Museum of Natural History, 10405, Stockholm, Sweden.
Martin J WhitehouseDepartment of Geosciences, Swedish Museum of Natural History, 10405, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-2227-577X
Mats E ÅströmDepartment of Biology and Environmental Science, Linnaeus University, 39231, Kalmar, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Establishing temporal constraints of faulting is of importance for tectonic and seismicity reconstructions and predictions. Conventional fault dating techniques commonly use bulk samples of syn-kinematic illite and other K-bearing minerals in fault gouges, which results in mixed ages of repeatedly reactivated faults as well as grain-size dependent age variations. Here we present a new approach to resolve fault reactivation histories by applying high-spatial resolution Rb-Sr dating to fine-grained mineral slickenfibres in faults occurring in Paleoproterozoic crystalline rocks. Slickenfibre illite and/or K-feldspar together with co-genetic calcite and/or albite were targeted with 50 µm laser ablation triple quadrupole inductively coupled plasma mass spectrometry analyses (LA-ICP-MS/MS). The ages obtained disclose slickenfibre growth at several occasions spanning over 1 billion years, from at least 1527 Ma to 349 ± 9 Ma. The timing of these growth phases and the associated structural orientation information of the kinematic indicators on the fracture surfaces are linked to far-field tectonic events, including the Caledonian orogeny. Our approach links faulting to individual regional deformation events by minimizing age mixing through micro-scale analysis of individual grains and narrow crystal zones in common fault mineral assemblages.

Identifiers

PMID31953465
PMCPMC6969261

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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.