Evidence map›Paper›PMID 36133534›Full record

ArticleNanoscale advances2019

Facile synthesis of carbon nanobranches towards cobalt ion sensing and high-performance micro-supercapacitors.

Qiao-Ling Chen, Xingjiang Wu, Hengyang Cheng, Qing Li, Su Chen

Abstract read
In one paragraph

Article in Nanoscale advances, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

Qiao-Ling ChenState Key Laboratory of Materials-Oriented Chemical Engineering, College of Chemical Engineering, Nanjing Tech University (former Nanjing University of Technology) Nanjing 210009 P. R. China chensu@njtech.edu.cn liqing1128@njtech.edu.cn +86-25-83172258 +86-25-83172258.
Xingjiang WuState Key Laboratory of Materials-Oriented Chemical Engineering, College of Chemical Engineering, Nanjing Tech University (former Nanjing University of Technology) Nanjing 210009 P. R. China chensu@njtech.edu.cn liqing1128@njtech.edu.cn +86-25-83172258 +86-25-83172258.
Hengyang ChengState Key Laboratory of Materials-Oriented Chemical Engineering, College of Chemical Engineering, Nanjing Tech University (former Nanjing University of Technology) Nanjing 210009 P. R. China chensu@njtech.edu.cn liqing1128@njtech.edu.cn +86-25-83172258 +86-25-83172258.
Qing LiState Key Laboratory of Materials-Oriented Chemical Engineering, College of Chemical Engineering, Nanjing Tech University (former Nanjing University of Technology) Nanjing 210009 P. R. China chensu@njtech.edu.cn liqing1128@njtech.edu.cn +86-25-83172258 +86-25-83172258.
Su ChenState Key Laboratory of Materials-Oriented Chemical Engineering, College of Chemical Engineering, Nanjing Tech University (former Nanjing University of Technology) Nanjing 210009 P. R. China chensu@njtech.edu.cn liqing1128@njtech.edu.cn +86-25-83172258 +86-25-83172258.ORCID https://orcid.org/0000-0002-3799-469X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a facile strategy for fabricating a new type of one-dimensional (1D) carbon nanomaterial named carbon nanobranches (CNBs) covered with botryoidal carbon dots (CDs) by direct pyrolysis of a green precursor (starch). The resultant CNBs display both photoluminescence and electrical conductivity and can be assembled into chemical sensors and energy-storage devices. In terms of their bright photoluminescence, CNBs with a fabulous crystalline structure are utilized as fluorescent probes to sensitively and selectively detect Co

Identifiers

PMID36133534
PMCPMC9417816

What OpenQuestion holds

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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.