Evidence map›Paper›PMID 38026166›Full record

ArticleiScience2023

Robust Ti

Guohong Wang, Minghang Li, Jianxi Liu, Fang Ye, Laifei Cheng, Xiaomeng Fan, Xingmin Liu, Ralf Riedel

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

1 citing paper in PubMed, 13 citations in OpenAlex.

  1. 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

8 authors at 2 institutions in 2 countries.

Guohong WangState Key Laboratory of Solidification Processing, Center of Advanced Lubrication and Seal Materials, School of Materials Science and Engineering, Northwestern Polytechnical University, 710072 Xi'an, China.
Minghang LiScience and Technology on Thermostructural Composite Materials Laboratory, Northwestern Polytechnical University, 710072 Xi'an, China.
Jianxi LiuState Key Laboratory of Solidification Processing, Center of Advanced Lubrication and Seal Materials, School of Materials Science and Engineering, Northwestern Polytechnical University, 710072 Xi'an, China.
Fang YeScience and Technology on Thermostructural Composite Materials Laboratory, Northwestern Polytechnical University, 710072 Xi'an, China.
Laifei ChengScience and Technology on Thermostructural Composite Materials Laboratory, Northwestern Polytechnical University, 710072 Xi'an, China.
Xiaomeng FanScience and Technology on Thermostructural Composite Materials Laboratory, Northwestern Polytechnical University, 710072 Xi'an, China.
Xingmin LiuState Key Laboratory of Solidification Processing, Center of Advanced Lubrication and Seal Materials, School of Materials Science and Engineering, Northwestern Polytechnical University, 710072 Xi'an, China.
Ralf RiedelInstitute of Materials Science, Technische Universität Darmstadt, Alarich-Weiss-Str. 2, 64287 Darmstadt, Germany.
Northwestern Polytechnical University · CNTechnical University of Darmstadt · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MXenes have been proven to be outstanding lossy phase of advanced electromagnetic interference (EMI) shielding materials. However, their poor tolerance to oxygen and water results in fast degradation of the pristine two-dimensional (2D) nanostructure and fading of the functional performance. Herein, in this research, natural antioxidants (e.g., melatonin, tea polyphenols, and phytic acid) were employed to protect the Ti

Indexed as

Electromagnetic fieldElectromagneticsMaterials property

Identifiers

PMID38026166
PMCPMC10651686
OpenAlexW4381249250

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.