Evidence map›Paper›PMID 38117161›Full record

ArticleSoft matter2024

The average magnetic anisotropy of polystyrene in polymersomes self-assembled from poly(ethylene glycol)-

Roger S M Rikken, Sandra Kleuskens, Loai K E A Abdelmohsen, Hans Engelkamp, Roeland J M Nolte, Jan C Maan, Jan C M van Hest, Daniela A Wilson, Peter C M Christianen

Abstract read
In one paragraph

Article in Soft matter, 2024. 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

9 authors.

Roger S M RikkenHigh Field Magnet Laboratory (HFML - EMFL), Radboud University, Toernooiveld 7, 6525 ED Nijmegen, The Netherlands. hans.engelkamp@ru.nl.
Sandra KleuskensHigh Field Magnet Laboratory (HFML - EMFL), Radboud University, Toernooiveld 7, 6525 ED Nijmegen, The Netherlands. hans.engelkamp@ru.nl.
Loai K E A AbdelmohsenInstitute of Molecules and Materials, Radboud University, Heyendaalseweg 135, 6525 AJ Nijmegen, The Netherlands.ORCID http://orcid.org/0000-0002-0094-1893
Hans EngelkampHigh Field Magnet Laboratory (HFML - EMFL), Radboud University, Toernooiveld 7, 6525 ED Nijmegen, The Netherlands. hans.engelkamp@ru.nl.ORCID http://orcid.org/0000-0001-9920-0536
Roeland J M NolteInstitute of Molecules and Materials, Radboud University, Heyendaalseweg 135, 6525 AJ Nijmegen, The Netherlands.ORCID http://orcid.org/0000-0002-5612-7815
Jan C MaanHigh Field Magnet Laboratory (HFML - EMFL), Radboud University, Toernooiveld 7, 6525 ED Nijmegen, The Netherlands. hans.engelkamp@ru.nl.
Jan C M van HestInstitute of Molecules and Materials, Radboud University, Heyendaalseweg 135, 6525 AJ Nijmegen, The Netherlands.ORCID http://orcid.org/0000-0001-7973-2404
Daniela A WilsonInstitute of Molecules and Materials, Radboud University, Heyendaalseweg 135, 6525 AJ Nijmegen, The Netherlands.
Peter C M ChristianenHigh Field Magnet Laboratory (HFML - EMFL), Radboud University, Toernooiveld 7, 6525 ED Nijmegen, The Netherlands. hans.engelkamp@ru.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using the diamagnetic anisotropy of polymers for the characterization of polymers and polymer aggregates is a relatively new approach in the field of soft-matter and polymer research. So far, a good and thorough quantitative description of these diamagnetic properties has been lacking. Using a simple equation that links the magnetic properties of an average polymer repeating unit to those of the polymer vesicle of any shape, we measured, using magnetic birefringence, the average diamagnetic anisotropy of a polystyrene (PS) repeating unit, Δ

Identifiers

PMID38117161
PMCPMC10806999

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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.