Evidence map›Paper›PMID 39399843›Full record

ArticleJournal of polymer science (2020)2024

Programming Mechanical Properties through Encoded Network Topologies.

Brandon R Clarke, Gregory N Tew

Abstract read
In one paragraph

Article in Journal of polymer science (2020), 2024. 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

2 authors.

Brandon R ClarkeDepartment of Polymer Science and Engineering, University of Massachusetts, Amherst, Amherst, MA, 01003, United States.ORCID 0000-0002-1423-599X
Gregory N TewDepartment of Polymer Science and Engineering, University of Massachusetts, Amherst, Amherst, MA, 01003, United States.ORCID 0000-0003-3277-7925

Funding

Biotechnology Training Program in Applied Life SciencesT32GM135096 · NIGMS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI Jeanne Ann Hardy, Ashish A. Kulkarni · 2020 to 2026
$3.9M
NIGMS NIH HHS T32 GM135096
6 · The paper itself

Abstract

Polymer networks remain an essential class of soft materials. Despite their use in everyday materials, connecting the molecular structure of the network to its macroscopic properties remains an active area of research. Much current research is enabled by advances in modern polymer chemistry providing an unprecedented level of control over macromolecular structure. At the same time, renewed interest in self-healing, dynamic, and/or adaptable materials continues to drive substantial interest in polymer network design. As part of a special issue focused on research performed in the Polymer Science and Engineering Department at the University of Massachusetts, Amherst, this review highlights connections between macromolecular structure of networks and observed mechanical properties as investigated by the Tew research group.

Indexed as

A-B-A triblock copolymersbottlebrush networksgelsnetwork structurepolymer chemistryring-expanding metathesis polymerizationring-opening metathesis polymerizationthiol-ene click chemistry

Identifiers

PMID39399843
PMCPMC11469555

What OpenQuestion holds

Textmetadata
LicenceTDM
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.