Evidence map›Paper›PMID 35494770›Full record

ArticleRSC advances2021

Fabrication and simulation of a layered ultrahigh thermal conductive material made of self-assembled graphene and polydopamine on a copper substrate.

Shuguang Li, Xiaomin Hou, Shixiang Lu, Wenguo Xu, Jiasheng Tao, Zhenlu Zhao, Guojie Hu, Fengxin Gao

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

Article in RSC advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 40% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. TiOACS applied materials & interfaces · 2024
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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 1 country.

Shuguang LiSchool of Chemistry and Chemical Engineering, Beijing Institute of Technology Beijing 100081 P. R. China shixianglu@bit.edu.cn xuwg60@bit.edu.cn.
Xiaomin HouSchool of Chemistry and Chemical Engineering, Beijing Institute of Technology Beijing 100081 P. R. China shixianglu@bit.edu.cn xuwg60@bit.edu.cn.
Shixiang LuSchool of Chemistry and Chemical Engineering, Beijing Institute of Technology Beijing 100081 P. R. China shixianglu@bit.edu.cn xuwg60@bit.edu.cn.ORCID https://orcid.org/0000-0002-3817-2196
Wenguo XuSchool of Chemistry and Chemical Engineering, Beijing Institute of Technology Beijing 100081 P. R. China shixianglu@bit.edu.cn xuwg60@bit.edu.cn.
Jiasheng TaoInstitute of Telecommunication Satellite, China Academy of Space Technology Beijing 100094 P. R. China.
Zhenlu ZhaoBeijing Spacecrafts Beijing 100094 P. R. China.
Guojie HuInstitute of Telecommunication Satellite, China Academy of Space Technology Beijing 100094 P. R. China.
Fengxin GaoSchool of Optics and Photonics, Beijing Institute of Technology Beijing 100081 P. R. China.
Beijing Institute of Technology · CNChina Academy of Space Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A composite material of graphene (G) and polydopamine (PDA) on a copper (Cu) substrate (G/PDA@Cu) was fabricated successfully by sequential immersion deposition in a dopamine solution and an aqueous graphene oxide suspension before annealing. Optimum preparation conditions were explored by the orthogonal experimental method. The morphology and chemical composition of G/PDA@Cu were studied systematically by a series of characterization techniques. The thermal-conductive performance was evaluated by a laser flash thermal analyser. The thermal conductivity of G/PDA@Cu was 519.43 W m

Identifiers

PMID35494770
PMCPMC9042715
OpenAlexW3210026323

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.