Evidence map›Paper›PMID 29296029›Full record

ReviewMacromolecules2017

M Muthukumar

Abstract readReview
In one paragraph

Review in Macromolecules, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers.

0numbers the graph read from it
0cells of the map it votes in
103citing 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

103 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Carboxyl Dissociation Degree (Macromolecules · 2026
    Article
  5. Article
  6. Mapping Charge Interactions in Intrinsically Disordered Proteins.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Sequence-encoded interactions program internal condensate architecture.bioRxiv : the preprint server for biology · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Poly(pentacenetetrone) as a High-capacity Cathode for Sodium Batteries.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  20. Review

43 more citing papers are in PubMed but not listed here.

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

1 author.

M MuthukumarDepartment of Polymer Science and Engineering, University of Massachusetts, Amherst, Massachusetts 01003, United States.

Funding

Modeling Macromolecular Transport through Protein Channels and NanoporesR01HG002776 · NHGRI · UNIVERSITY OF MASSACHUSETTS AMHERST · PI MUTHUKUMAR, MURUGAPPAN · 2003 to 2022
$5.3M
NHGRI NIH HHS R01 HG002776
6 · The paper itself

Abstract

From the beginning of life with the information-containing polymers until the present era of a plethora of water-based materials in health care industry and biotechnology, polyelectrolytes are ubiquitous with a broad range of structural and functional properties. The main attribute of polyelectrolyte solutions is that all molecules are strongly correlated both topologically and electrostatically in their neutralizing background of charged ions in highly polarizable solvent. These strong correlations and the necessary use of numerous variables in experiments on polyelectrolytes have presented immense challenges toward fundamental understanding of the various behaviors of charged polymeric systems. This Perspective presents the author's subjective summary of several conceptual advances and the remaining persistent challenges in the contexts of charge and size of polymers, structures in homogeneous solutions, thermodynamic instability and phase transitions, structural evolution with oppositely charged polymers, dynamics in polyelectrolyte solutions, kinetics of phase separation, mobility of charged macromolecules between compartments, and implications to biological systems.

Identifiers

PMID29296029
PMCPMC5746850

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.