Evidence map›Paper›PMID 37396209›Full record

ReviewACS omega2023

Electrospun Carbon Nanofibers and Their Applications in Several Areas.

Tongtong Wang, Zhe Chen, Weibo Gong, Fei Xu, Xin Song, Xin He, Maohong Fan

Abstract readReview
In one paragraph

Review in ACS omega, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
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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

7 authors.

Tongtong WangCollege of Advanced Materials Engineering, Jiaxing Nanhu University, Jiaxing, Zhejiang 314001, People's Republic of China.ORCID https://orcid.org/0000-0001-5189-951X
Zhe ChenCollege of Engineering and Physical Sciences and School of Energy Resources, University of Wyoming, Laramie, Wyoming 82071, United States.
Weibo GongCollege of Engineering and Physical Sciences and School of Energy Resources, University of Wyoming, Laramie, Wyoming 82071, United States.
Fei XuCollege of Advanced Materials Engineering, Jiaxing Nanhu University, Jiaxing, Zhejiang 314001, People's Republic of China.
Xin SongFaculty of Environmental Science and Engineering, Kunming University of Science and Technology, Kunming 650500, People's Republic of China.ORCID https://orcid.org/0000-0002-1837-2975
Xin HeCollege of Engineering and Physical Sciences and School of Energy Resources, University of Wyoming, Laramie, Wyoming 82071, United States.
Maohong FanCollege of Engineering and Physical Sciences and School of Energy Resources, University of Wyoming, Laramie, Wyoming 82071, United States.ORCID https://orcid.org/0000-0003-1334-7292

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carbon nanofibers (CNFs) have a broad spectrum of applications, including sensor manufacturing, electrochemical catalysis, and energy storage. Among different manufacturing methods, electrospinning, due to its simplicity and efficiency, has emerged as one of the most powerful commercial large-scale production techniques. Numerous researchers have been attracted to improving the performance of CNFs and exploring new potential applications. This paper first discusses the working theory of manufacturing electrospun CNFs. Next, the current efforts in upgrading the properties of CNFs, such as pore architecture, anisotropy, electrochemistry, and hydrophilicity, are discussed. The corresponding applications due to the superior performances of CNFs are subsequently elaborated. Finally, the future development of CNFs is discussed.

Identifiers

PMID37396209
PMCPMC10308409

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.