Evidence map›Paper›PMID 38547673›Full record

ArticlePoultry science2024

Isolation, identification, and proteomic analysis of outer membrane vesicles of Riemerella anatipestifer SX-1.

Ying Wang, Jianfeng Deng, Xiaorong Wang, Lixia Zhang, Yue Xu, Jianle Ren, Sheng Niu, Yujun Zhao, Fang Yan, Wen-Xia Tian and 1 more

Open access · goldAbstract read
In one paragraph

Article in Poultry science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. Drug design, development and therapy · 2024
    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

11 authors at 2 institutions in 1 country.

Ying WangCollege of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China.
Jianfeng DengCollege of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China.
Xiaorong WangCollege of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China.
Lixia ZhangCollege of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China.
Yue XuWuhan Green-agr biotechnology Co., Ltd, Wuhan, China.
Jianle RenCollege of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China.
Sheng NiuCollege of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China.
Yujun ZhaoCollege of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China.
Fang YanCollege of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China.
Wen-Xia TianCollege of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China.
Yi YanCollege of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China. Electronic address: yanyi@sxau.edu.cn.
Shanxi Agricultural University · CNWuhan Academy of Agricultural Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Riemerella anatipestifer, belonging to Weeksellaceae family Riemerella, is a bacterium that can infect ducks, geese, and turkeys, causing diseases known as duck infectious serositis, new duck disease, and duck septicemia. We collected diseased materials from ducks on a duck farm in China and then isolated and purified a strain of serotype 1 R. anatipestifer named SX-1. Animal experiments showed that SX-1 is a highly virulent strain with an LD

Indexed as

DucksPoultry DiseasesProteomicsRiemerellaAnimalsBacterial Outer MembraneFlavobacteriaceae InfectionsProteomeProteomeOMVsproteomicsR. anatipestifervirulencewhole genome sequencing

Identifiers

PMID38547673
PMCPMC11180376
OpenAlexW4392653939

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.