Evidence map›Paper›PMID 34138294›Full record

ArticleNano-micro letters2020

An Ultra-microporous Carbon Material Boosting Integrated Capacitance for Cellulose-Based Supercapacitors.

Chenfeng Ding, Tianyi Liu, Xiaodong Yan, Lingbo Huang, Seungkon Ryu, Jinle Lan, Yunhua Yu, Wei-Hong Zhong, Xiaoping Yang

Abstract read
In one paragraph

Article in Nano-micro letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

9 authors.

Chenfeng DingState Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing, 100029, People's Republic of China.
Tianyi LiuState Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing, 100029, People's Republic of China.
Xiaodong YanKey Laboratory of Synthetic and Biological Colloids, Ministry of Education, School of Chemical and Material Engineering, Jiangnan University, Wuxi, 214122, Jiangsu, People's Republic of China.
Lingbo HuangState Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing, 100029, People's Republic of China.
Seungkon RyuInstitute of Carbon Tech., Jeonju University, Jeonju, 55069, South Korea.
Jinle LanState Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing, 100029, People's Republic of China.
Yunhua YuState Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing, 100029, People's Republic of China. yuyh@mail.buct.edu.cn.
Wei-Hong ZhongSchool of Mechanical and Material Engineering, Washington State University, Pullman, 99163, USA. katie_zhong@wsu.edu.
Xiaoping YangState Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing, 100029, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A breakthrough in advancing power density and stability of carbon-based supercapacitors is trapped by inefficient pore structures of electrode materials. Herein, an ultra-microporous carbon with ultrahigh integrated capacitance fabricated via one-step carbonization/activation of dense bacterial cellulose (BC) precursor followed by nitrogen/sulfur dual doping is reported. The microporous carbon possesses highly concentrated micropores (~ 2 nm) and a considerable amount of sub-micropores (< 1 nm). The unique porous structure provides high specific surface area (1554 m

Indexed as

Bacterial celluloseHeteroatom dopingIntegrated capacitanceMicroporous carbonSupercapacitors

Identifiers

PMID34138294
PMCPMC7770663

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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.