Evidence map›Paper›PMID 32146599›Full record

ArticleMikrochimica acta2020

Electrochemical fabrication of reduced MoS

Yuan-Ting Li, Yuan-Yuan Yang, Ying-Xin Sun, Yue Cao, Yan-Shan Huang, Sheng Han

Abstract read
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In one paragraph

Article in Mikrochimica acta, 2020. 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

6 authors.

Yuan-Ting LiSchool of Chemical and Environmental Engineering, Shanghai Institute of Technology, No. 100 Haiquan Road, Shanghai, 201418, People's Republic of China. joice319@hotmail.com.ORCID https://orcid.org/0000-0002-7890-9797
Yuan-Yuan YangSchool of Chemical and Environmental Engineering, Shanghai Institute of Technology, No. 100 Haiquan Road, Shanghai, 201418, People's Republic of China.
Ying-Xin SunSchool of Chemical and Environmental Engineering, Shanghai Institute of Technology, No. 100 Haiquan Road, Shanghai, 201418, People's Republic of China.
Yue CaoDepartment of Forensic Medicine, Nanjing Medical University, Nanjing, 211166, People's Republic of China.
Yan-Shan HuangSchool of Chemical and Environmental Engineering, Shanghai Institute of Technology, No. 100 Haiquan Road, Shanghai, 201418, People's Republic of China.
Sheng HanSchool of Chemical and Environmental Engineering, Shanghai Institute of Technology, No. 100 Haiquan Road, Shanghai, 201418, People's Republic of China. hansheng654321@sina.com.ORCID https://orcid.org/0000-0002-1320-2002

Funding

Collaborative Innovation Fund of SIT XTCX2019-2National Natural Science Foundation of China 21707092National Natural Science Foundation of China 21975161Natural Science Foundation of Shanghai 17ZR1441700Science and Technology Commission of Shanghai Municipality Project 18090503800Shanghai Association for Science and Technology Achievements Transformation Alliance Program 18SG52Shanghai Excellent Technology Leaders Program 17XD1424900
6 · The paper itself

Abstract

A new portable molecular imprinting polymer (MIP)-SERS nanoprobe is fabricated by a convenient electrochemical method. Single-layered MoS

Indexed as

Biosensing TechniquesElectrochemical TechniquesMolecular ImprintingDisulfidesMolecular ProbesMolybdenumNanoparticlesOxidation-ReductionSpectrum Analysis, RamanTheophyllineDisulfidesMolecular ProbesMolybdenummolybdenum disulfideTheophyllineElectropolymerizationElectroreductionGold nanoparticlesMolecular imprinting polymerRapid in situ analysisScreen-printed electrodesSelective recognitionSurface-enhanced Raman spectroscopyXanthine bases

Identifiers

PMID32146599

What OpenQuestion holds

Textmetadata
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.