Evidence map›Paper›PMID 35528567›Full record

ArticleRSC advances2019

Reduced graphene oxide/CoS

Lemu Girma Beka, Xin Li, Xiaoli Wang, Chuanyu Han, Weihua Liu

Abstract read
In one paragraph

Article in RSC advances, 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
–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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

5 authors.

Lemu Girma BekaSchool of Microelectronics, School of Electronic and Information Engineering, Xi'an Jiaotong University Xi'an 710049 P. R. China lwhua@mail.xjtu.edu.cn.
Xin LiSchool of Microelectronics, School of Electronic and Information Engineering, Xi'an Jiaotong University Xi'an 710049 P. R. China lwhua@mail.xjtu.edu.cn.
Xiaoli WangSchool of Microelectronics, School of Electronic and Information Engineering, Xi'an Jiaotong University Xi'an 710049 P. R. China lwhua@mail.xjtu.edu.cn.
Chuanyu HanSchool of Microelectronics, School of Electronic and Information Engineering, Xi'an Jiaotong University Xi'an 710049 P. R. China lwhua@mail.xjtu.edu.cn.
Weihua LiuSchool of Microelectronics, School of Electronic and Information Engineering, Xi'an Jiaotong University Xi'an 710049 P. R. China lwhua@mail.xjtu.edu.cn.ORCID https://orcid.org/0000-0001-5748-3021

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Graphene/transition metal hybrid electrode materials are considered promising electrode materials for supercapacitor applications. However, the stacking of graphene sheets and agglomeration of transition metal parts are still challenging issues to overcome in order to achieve the expected theoretical performances. Herein, a reduced graphene oxide/cobalt disulphide porous nanoparticle hybrid electrode material is fabricated using sulphur as the template precursor. The unique porosity derived from the sulphur template gives favourable open structures for easy diffusion of electrolyte ions and better accessible active sites, and free space for volume changes and results in improved electrochemical performance. In this hybrid material the graphene layers serve as a conductive matrix and physical support for pours cobalt sulphide nanoparticles. On the other hand, the porous cobalt sulphide redox-active material uniformly decorated on rGO can enhance the pseudocapacitive performance of the as synthesized hybrid material. Using the combined advantage of graphene and transition metal sulphide the as synthesized composite electrode material has excellent specific capacitance, excellent rate capability and cycling stability. Thus, our design approach can be considered as a potential candidate to design advanced energy storage devices.

Identifiers

PMID35528567
PMCPMC9070485

What OpenQuestion holds

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Registered trials

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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.