Evidence map›Paper›PMID 32001565›Full record

ArticleMicrobiology resource announcements2020

Coding-Complete Genome Sequence of a Recombinant Human Norovirus Strain Identified as Subtype GII.p12_GII.3.

Byung-Joo Park, Hee-Seop Ahn, Sang-Hoon Han, Hyeon-Jeong Go, Eu-Lim Lyoo, Changsun Choi, Jinjong Myoung, Joong-Bok Lee, Seung-Yong Park, Chang-Seon Song and 2 more

Abstract read
In one paragraph

Article in Microbiology resource announcements, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Byung-Joo ParkDepartment of Infectious Diseases, College of Veterinary Medicine, Konkuk University, Seoul, Republic of Korea.
Hee-Seop AhnDepartment of Infectious Diseases, College of Veterinary Medicine, Konkuk University, Seoul, Republic of Korea.
Sang-Hoon HanDepartment of Infectious Diseases, College of Veterinary Medicine, Konkuk University, Seoul, Republic of Korea.
Hyeon-Jeong GoDepartment of Infectious Diseases, College of Veterinary Medicine, Konkuk University, Seoul, Republic of Korea.
Eu-Lim LyooDepartment of Infectious Diseases, College of Veterinary Medicine, Konkuk University, Seoul, Republic of Korea.
Changsun ChoiDepartment of Food and Nutrition, College of Biotechnology and Natural Resources, Chung-Ang University, Anseong, Republic of Korea.ORCID https://orcid.org/0000-0001-7730-8538
Jinjong MyoungKorea Zoonosis Research Institute, Chonbuk National University, Jeonju, Republic of Korea.
Joong-Bok LeeDepartment of Infectious Diseases, College of Veterinary Medicine, Konkuk University, Seoul, Republic of Korea.
Seung-Yong ParkDepartment of Infectious Diseases, College of Veterinary Medicine, Konkuk University, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0001-8104-8775
Chang-Seon SongDepartment of Infectious Diseases, College of Veterinary Medicine, Konkuk University, Seoul, Republic of Korea.
Sang-Won LeeDepartment of Infectious Diseases, College of Veterinary Medicine, Konkuk University, Seoul, Republic of Korea.
In-Soo ChoiDepartment of Infectious Diseases, College of Veterinary Medicine, Konkuk University, Seoul, Republic of Korea ischoi@konkuk.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A human norovirus (HuNoV) strain was obtained from a patient with acute gastroenteritis, and its complete coding sequence was determined. The coding-complete viral genome, with three open reading frames, was 7,565 bp long, with a GC content of 49.9%. The genotype of the HuNoV strain obtained in this study was identified as GII.p12_GII.3.

Identifiers

PMID32001565
PMCPMC6992869

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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.