Evidence map›Paper›PMID 31618859›Full record

ArticleMaterials (Basel, Switzerland)2019

Antibacterial Performance of a Mussel-Inspired Polydopamine-Treated Ag/Graphene Nanocomposite Material.

Jianming Liao, Shuaiming He, Shasha Guo, Pengcheng Luan, Lihuan Mo, Jun Li

Open access · goldAbstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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 at 1 institution in 1 country.

Jianming LiaoState Key Laboratory of Pulp and Paper Engineering, South China University of Technology, Guangzhou 510641, China. feliaojm_1992@mail.scut.edu.cn.ORCID 0000-0002-3055-3461
Shuaiming HeState Key Laboratory of Pulp and Paper Engineering, South China University of Technology, Guangzhou 510641, China. he.shuaiming@gmail.com.ORCID 0000-0002-6130-0352
Shasha GuoState Key Laboratory of Pulp and Paper Engineering, South China University of Technology, Guangzhou 510641, China. feshasha.guo@mail.scut.edu.cn.
Pengcheng LuanState Key Laboratory of Pulp and Paper Engineering, South China University of Technology, Guangzhou 510641, China. luanpc1991@gmail.com.
Lihuan MoState Key Laboratory of Pulp and Paper Engineering, South China University of Technology, Guangzhou 510641, China. lhmo@scut.edu.cn.ORCID 0000-0002-5187-7975
Jun LiState Key Laboratory of Pulp and Paper Engineering, South China University of Technology, Guangzhou 510641, China. ppjunli@scut.edu.cn.
South China University of Technology · CN

Funding

Guangdong Province Science Foundation for Cultivating National Engineering Research Center for Efficient Utilization of Plant Fibers 2017B090903003the Guangzhou Science and Technology Plan Projects 201707020011the Special Support Plan for High-Level Talent Cultivation of Guangdong Province 2014TQ01N603the State Key Laboratory of Pulp and Paper Engineering 201831
6 · The paper itself

Abstract

Graphene-based nanocomposites have attracted tremendous attention in recent years. In this study, a facile yet effective approach was developed to synthesize reduced graphene oxide and an Ag-graphene nanocomposite. The basic strategy involved in the preparation of reduced graphene oxide includes reducing graphene oxide with dopamine, followed by in situ syntheses of the Ag-PDA-reducing graphene oxide (RGO) nanocomposite through adding AgNO

Indexed as

AgantibacterialdopamineGOnanocomposite

Identifiers

PMID31618859
PMCPMC6829421
OpenAlexW2980698642

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.