Evidence map›Paper›PMID 35317655›Full record

ArticleJournal of the Royal Society, Interface2022

Viscoelastic analysis of mussel threads reveals energy dissipative mechanisms.

Marcela Areyano, Eric Valois, Ismael Sanchez Carvajal, Ivan Rajkovic, William R Wonderly, Attila Kossa, Robert M McMeeking, J Herbert Waite

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. 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

8 authors.

Marcela AreyanoDepartment of Mechanical Engineering, University of California, Santa Barbara, CA 93106, USA.ORCID 0000-0002-2289-3714
Eric ValoisBiomolecular Science and Engineering Graduate Program, University of California, Santa Barbara, CA 93106, USA.
Ismael Sanchez CarvajalDepartment of Mechanical Engineering, University of California, Santa Barbara, CA 93106, USA.
Ivan RajkovicStanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA.
William R WonderlyDepartment of Chemistry, University of California, Santa Barbara, CA 93106, USA.
Attila KossaMaterials Research Laboratory, University of California, Santa Barbara, CA 93106, USA.
Robert M McMeekingDepartment of Mechanical Engineering, University of California, Santa Barbara, CA 93106, USA.
J Herbert WaiteMarine Science Institute, University of California, Santa Barbara, CA 93106, USA.ORCID 0000-0003-4683-7386

Funding

A Synchrotron Radiation Structural Biology ResourcesP30GM133894 · NIGMS · STANFORD UNIVERSITY · PI Aina E. Cohen, KEITH O HODGSON · 2020 to 2026
$43.3M
NIGMS NIH HHS P30 GM133894
6 · The paper itself

Abstract

Mussels use byssal threads to secure themselves to rocks and as shock absorbers during cyclic loading from wave motion. Byssal threads combine high strength and toughness with extensibility of nearly 200%. Researchers attribute tensile properties of byssal threads to their elaborate multi-domain collagenous protein cores. Because the elastic properties have been previously scrutinized, we instead examined byssal thread viscoelastic behaviour, which is essential for withstanding cyclic loading. By targeting protein domains in the collagenous core via chemical treatments, stress relaxation experiments provided insights on domain contributions and were coupled with

Indexed as

BivalviaAnimalsSilkSoftwareSilkbiomaterialscollagenous hierarchical materialgeneralized Maxwell modelstress relaxationviscoelasticity

Identifiers

PMID35317655
PMCPMC8941394

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.