ReviewApplied microscopy2019
Analyzing the microstructure and related properties of 2D materials by transmission electron microscopy.
Review in Applied microscopy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed.
- Microscopic insight into the origin of super-cooled NCCDW state in 1T-TaS₂ nanocrystals.Scientific reports · 2026Article
- Atomically thin bioelectronics.Nature reviews. Materials · 2024Article
- Metrology for 2D materials: a perspective review from the international roadmap for devices and systems.Nanoscale advances · 2024Review
- Engineering the Electrical and Optical Properties of WSAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Review
- Phase Engineering of Two-Dimensional Transition Metal Dichalcogenides.Small science · 2024Article
- Machine-learning-assisted analysis of transition metal dichalcogenide thin-film growth.Nano convergence · 2023Article
- 2D Semiconductor Nanomaterials and Heterostructures: Controlled Synthesis and Functional Applications.Nanoscale research letters · 2021Review
- Nanomaterials-Based Biosensors for COVID-19 Detection-A Review.IEEE sensors journal · 2021Article
- Contrast Transfer Function-Based Exit-Wave Reconstruction and Denoising of Atomic-Resolution Transmission Electron Microscopy Images of Graphene and Cu Single Atom Substitutions by Deep Learning Framework.Nanomaterials (Basel, Switzerland) · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Two-dimensional materials such as transition metal dichalcogenide and graphene are of great interest due to their intriguing electronic and optical properties such as metal-insulator transition based on structural variation. Accordingly, detailed analyses of structural tunability with transmission electron microscopy have become increasingly important for understanding atomic configurations. This review presents a few analyses that can be applied to two-dimensional materials using transmission electron microscopy.
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What OpenQuestion holds
Registered trials
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.