Evidence map›Paper›PMID 24155570›Full record

ArticleJournal of materials chemistry2010

A simple and scalable route to wafer-size patterned graphene.

Li-Hong Liu, Gilad Zorn, David G Castner, Raj Solanki, Michael M Lerner, Mingdi Yan

Abstract read
In one paragraph

Article in Journal of materials chemistry, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Article
  3. Molecular embroidering of graphene.Nature communications · 2021
    Article
  4. Article
  5. Article
  6. Liquid phase exfoliation of MoONanoscale advances · 2019
    Article
  7. Article
  8. Glyconanomaterials for biosensing applications.Biosensors & bioelectronics · 2016
    Review
  9. Analysis of the surface density and reactivity of perfluorophenylazide and the impact on ligand immobilization.Journal of vacuum science & technology. A, Vacuum, surfaces, and films : an official journal of the American Vacuum Society · 2015
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. 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.

Li-Hong LiuDepartment of Chemistry, Portland State University, Portland, Oregon, 97207-0751, USA.
Gilad Zorn
David G Castner
Raj Solanki
Michael M Lerner
Mingdi Yan

Funding

Surface Analysis Facility for Biomedical ProblemsP41EB002027 · NIBIB · UNIVERSITY OF WASHINGTON · PI CASTNER, DAVID G · 2003 to 2019
$17.6M
Photogenerated Carbohydrate MicroarraysR01GM080295 · NIGMS · UNIVERSITY OF MASSACHUSETTS LOWELL · PI YAN, MINGDI · 2008 to 2012
$2.0M
Surface Chemistry for Immobilization of Ultrathin FilmsR15GM066279 · NIGMS · PORTLAND STATE UNIVERSITY · PI YAN, MINGDI · 2005 to 2008
$410k
NIBIB NIH HHS P41 EB002027NIGMS NIH HHS R01 GM080295NIGMS NIH HHS R15 GM066279
6 · The paper itself

Abstract

Producing large-scale graphene films with controllable patterns is an essential component of graphene-based nanodevice fabrication. Current methods of graphene pattern preparation involve either high cost, low throughput patterning processes or sophisticated instruments, hindering their large-scale fabrication and practical applications. We report a simple, effective, and reproducible approach for patterning graphene films with controllable feature sizes and shapes. The patterns were generated using a versatile photocoupling chemistry. Features from micrometres to centimetres were fabricated using a conventional photolithography process. This method is simple, general, and applicable to a wide range of substrates including silicon wafers, glass slides, and metal films.

Identifiers

PMID24155570
PMCPMC3804255

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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.