Evidence map›Paper›PMID 30948725›Full record

ArticleNature communications2019

Ultra-high resolution imaging of thin films and single strands of polythiophene using atomic force microscopy.

Vladimir V Korolkov, Alex Summerfield, Alanna Murphy, David B Amabilino, Kenji Watanabe, Takashi Taniguchi, Peter H Beton

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.9field-weighted citation impact, top 4% of its field
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

14 citing papers in PubMed, 61 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

Vladimir V KorolkovSchool of Physics and Astronomy, University of Nottingham, Nottingham, NG7 2RD, UK. korolkov.vladimir@gmail.com.ORCID http://orcid.org/0000-0002-8994-8310
Alex SummerfieldSchool of Physics and Astronomy, University of Nottingham, Nottingham, NG7 2RD, UK.ORCID http://orcid.org/0000-0001-6091-3969
Alanna MurphySchool of Chemistry, University of Nottingham, Nottingham, NG7 2RD, UK.
David B AmabilinoSchool of Chemistry, University of Nottingham, Nottingham, NG7 2RD, UK.
Kenji WatanabeNational Institute for Materials Science, 1-1 Namiki, Tsukuba, Ibaraki, 305-0044, Japan.ORCID http://orcid.org/0000-0003-3701-8119
Takashi TaniguchiNational Institute for Materials Science, 1-1 Namiki, Tsukuba, Ibaraki, 305-0044, Japan.
Peter H BetonSchool of Physics and Astronomy, University of Nottingham, Nottingham, NG7 2RD, UK. peter.beton@nottingham.ac.uk.ORCID http://orcid.org/0000-0002-2120-8033
University of Nottingham · GBNational Institute for Materials Science · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Real-space images of polymers with sub-molecular resolution could provide valuable insights into the relationship between morphology and functionality of polymer optoelectronic devices, but their acquisition is problematic due to perceived limitations in atomic force microscopy (AFM). We show that individual thiophene units and the lattice of semicrystalline spin-coated films of polythiophenes (PTs) may be resolved using AFM under ambient conditions through the low-amplitude (≤ 1 nm) excitation of higher eigenmodes of a cantilever. PT strands are adsorbed on hexagonal boron nitride near-parallel to the surface in islands with lateral dimensions ~10 nm. On the surface of a spin-coated PT thin film, in which the thiophene groups are perpendicular to the interface, we resolve terminal CH

Identifiers

PMID30948725
PMCPMC6449331
OpenAlexW2933755486

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.