Evidence map›Paper›PMID 30594968›Full record

ArticleVirus genes2019

Impact of the variations in potential glycosylation sites of the hemagglutinin of H9N2 influenza virus.

Qianqian Peng, Rui Zhu, Xiaobo Wang, Huoying Shi, Matthew Bellefleur, Shifeng Wang, Xiufan Liu

Open access · hybridAbstract read
In one paragraph

Article in Virus genes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

12 citing papers in PubMed, 18 citations in OpenAlex.

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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

7 authors at 2 institutions in 2 countries.

Qianqian PengCollege of Veterinary Medicine, Yangzhou University, Yangzhou, 225009, Jiangsu, China.
Rui ZhuCollege of Veterinary Medicine, Yangzhou University, Yangzhou, 225009, Jiangsu, China.
Xiaobo WangCollege of Veterinary Medicine, Yangzhou University, Yangzhou, 225009, Jiangsu, China.
Huoying ShiCollege of Veterinary Medicine, Yangzhou University, Yangzhou, 225009, Jiangsu, China. hyshi@yzu.edu.cn.
Matthew BellefleurDepartment of Infectious Diseases and Immunology, College of Veterinary Medicine, University of Florida, Gainesville, FL, 32611-0880, USA.
Shifeng WangDepartment of Infectious Diseases and Immunology, College of Veterinary Medicine, University of Florida, Gainesville, FL, 32611-0880, USA. shifengwang@ufl.edu.
Xiufan LiuCollege of Veterinary Medicine, Yangzhou University, Yangzhou, 225009, Jiangsu, China.
Yangzhou University · CNUniversity of Florida · US

Funding

the National Natural Science Foundation of China 30670079the National Natural Science Foundation of China 31172300the National Natural Science Foundation of China 31672516
6 · The paper itself

Abstract

Variations in the potential glycosylation sites were observed in hemagglutinin (HA) sequences of H9N2 avian influenza virus isolated in China, deposited in the Influenza Virus Resource of NCBI before 2017, which showed a deleted glycosylation site at amino acid residue 218, and an introduced glycosylation site at amino acid residue 313. Based on the variations in the glycosylation sites at these amino acids, H9N2 avian influenza viruses could be divided into three categories. Firstly, most of the H9N2 influenza viruses were 218G

Indexed as

Amino Acid SequenceAnimalsChickensChinaGlycosylationHemagglutinin Glycoproteins, Influenza VirusHumansInfluenza A Virus, H9N2 SubtypeInfluenza, HumanInfluenza in BirdsPhylogenyPoultry DiseasesHemagglutinin Glycoproteins, Influenza VirusAa residue 218Aa residue 313Glycosylation sitesH9N2Hemagglutinin

Identifiers

PMID30594968
PMCPMC6458969
OpenAlexW2908359430

What OpenQuestion holds

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LicenceCC BY
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.