Evidence map›Paper›PMID 33036450›Full record

ArticlePathogens (Basel, Switzerland)2020

Characterization of Mobile Genetic Elements Using Long-Read Sequencing for Tracking

Hee Jin Kwon, Zhao Chen, Peter Evans, Jianghong Meng, Yi Chen

Abstract read
In one paragraph

Article in Pathogens (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Survival strategies ofFood science and biotechnology · 2023
    Review
  8. Article
  9. A review of the resistome within the digestive tract of livestock.Journal of animal science and biotechnology · 2021
    Review
  10. Review
  11. Plasmidome ofInternational journal of molecular sciences · 2021
    Article
  12. Article
  13. Hyper-VirulentFrontiers in cellular and infection microbiology · 2021
    Article
  14. Virulence and Antibiotic Resistance Genes inFrontiers in microbiology · 2021
    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

5 authors.

Hee Jin KwonDepartment of Nutrition and Food Science, Joint Institute for Food Safety and Applied Nutrition, Center for Food Safety and Security Systems, University of Maryland, College Park, MD 20740, USA.
Zhao ChenDepartment of Nutrition and Food Science, Joint Institute for Food Safety and Applied Nutrition, Center for Food Safety and Security Systems, University of Maryland, College Park, MD 20740, USA.ORCID 0000-0002-1784-167X
Peter EvansDivision of Microbiology, Office of Regulatory Science, Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, College Park, MD 20740, USA.
Jianghong MengDepartment of Nutrition and Food Science, Joint Institute for Food Safety and Applied Nutrition, Center for Food Safety and Security Systems, University of Maryland, College Park, MD 20740, USA.
Yi ChenDivision of Microbiology, Office of Regulatory Science, Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, College Park, MD 20740, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently developed nanopore sequencing technologies offer a unique opportunity to rapidly close the genome and to identify complete sequences of mobile genetic elements (MGEs). In this study, 17 isolates of

Indexed as

evolutionary analysisListeria monocytogenesmobile genetic elementsnanopore long-read sequencingwhole-genome sequencing

Identifiers

PMID33036450
PMCPMC7599586

What OpenQuestion holds

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LicenceCC BY
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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.