Evidence map›Paper›PMID 31652945›Full record

ArticleMicromachines2019

One-Step Coating Processed Phototransistors Enabled by Phase Separation of Semiconductor and Dielectric Blend Film.

Lin Gao, Sihui Hou, Zijun Wang, Zhan Gao, Xinge Yu, Junsheng Yu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Micromachines, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Lin GaoState Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu 610054, China. lin_gaoedu@163.com.ORCID 0000-0002-6986-5104
Sihui HouState Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu 610054, China. shhou@std.uestc.edu.cn.
Zijun WangState Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu 610054, China. wangzijun@std.uestc.edu.cn.ORCID 0000-0002-3801-2088
Zhan GaoDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong 999077, China. zhangao2-c@my.cityu.edu.hk.ORCID 0000-0002-8465-4292
Xinge YuDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong 999077, China. xingeyu@cityu.edu.hk.ORCID 0000-0003-0522-1171
Junsheng YuState Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu 610054, China. jsyu@uestc.edu.cn.ORCID 0000-0002-7484-8114

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fabrication of organic thin-film transistors (OTFTs) via high throughput solution process routes have attracted extensive attention. Herein, we report a simple one-step coating method for vertical phase separation of the poly(3-hexylthiophene-2,5-diyl) (P3HT) and poly(methyl methacrylate) (PMMA) blends as semiconducting and dielectric layers in OTFTs. These OTFTs can be used as phototransistors for ultraviolet (UV) light detection, where the phototransistors exhibited great photosensitivity of 597.6 mA/W and detectivity of 4.25 × 10

Indexed as

organic thin-film transistors (OTFTs)phototransistorpolymer blendvertical phase separation

Identifiers

PMID31652945
PMCPMC6915368

What OpenQuestion holds

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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.