Evidence map›Paper›PMID 20872839›Full record

ReviewWiley interdisciplinary reviews. Nanomedicine and nanobiotechnology

Viral nanoparticles and virus-like particles: platforms for contemporary vaccine design.

Emily M Plummer, Marianne Manchester

Open access · bronzeAbstract readReview
In one paragraph

Review in Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology. 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
13.1field-weighted citation impact, top 1% 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

103 citing papers in PubMed, 235 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
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  5. Article
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  7. Review
  8. Biomaterial-Based In Situ Cancer Vaccines.Advanced materials (Deerfield Beach, Fla.) · 2024
    Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Nanovaccines to CombatVaccines · 2023
    Review
  14. Virus-like Particle (VLP) Vaccines for Cancer Immunotherapy.International journal of molecular sciences · 2023
    Review
  15. Review
  16. Review
  17. Review
  18. Article
  19. Review
  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

2 authors at 2 institutions in 1 country.

Emily M PlummerCell Biology Department, The Scripps Research Institute, La Jolla, CA, USA.
Marianne ManchesterSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA.
Scripps Research Institute · USUniversity of California, San Diego · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current vaccines that provide protection against infectious diseases have primarily relied on attenuated or inactivated pathogens. Virus-like particles (VLPs), comprised of capsid proteins that can initiate an immune response but do not include the genetic material required for replication, promote immunogenicity and have been developed and approved as vaccines in some cases. In addition, many of these VLPs can be used as molecular platforms for genetic fusion or chemical attachment of heterologous antigenic epitopes. This approach has been shown to provide protective immunity against the foreign epitopes in many cases. A variety of VLPs and virus-based nanoparticles are being developed for use as vaccines and epitope platforms. These particles have the potential to increase efficacy of current vaccines as well as treat diseases for which no effective vaccines are available.

Indexed as

AnimalsHumansNanomedicineNanoparticlesViral VaccinesVirionVirusesViral Vaccines

Identifiers

PMID20872839
PMCPMC7169818
OpenAlexW2009126191

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.