Evidence map›Paper›PMID 32674390›Full record

ReviewToxins2020

Characterization of

Xiao-Ye Liu, Qiao Hu, Fei Xu, Shuang-Yang Ding, Kui Zhu

Open access · goldAbstract readReview
In one paragraph

Review in Toxins, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

24 citing papers in PubMed, 60 citations in OpenAlex.

  1. Bovine Mastitis-DerivedVeterinary sciences · 2025
    Article
  2. The Global Prevalence ofFoods (Basel, Switzerland) · 2025
    Review
  3. Prevalence Trends of Foodborne PathogensInternational journal of environmental research and public health · 2024
    Article
  4. Article
  5. Article
  6. Microorganisms · 2023
    Article
  7. High Genetic Diversity and Virulence Potential inFoods (Basel, Switzerland) · 2023
    Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. Foods (Basel, Switzerland) · 2022
    Review
  15. Article
  16. Inactivation ofMicroorganisms · 2022
    Article
  17. Review
  18. Microorganisms · 2022
    Article
  19. Characterization and spoilage potential ofFrontiers in microbiology · 2022
    Article
  20. Characterization of VegetativeFoods (Basel, Switzerland) · 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 at 3 institutions in 1 country.

Xiao-Ye LiuCollege of Veterinary Medicine, China Agricultural University, Beijing 100193, China.ORCID 0000-0001-7753-2943
Qiao HuCollege of Veterinary Medicine, China Agricultural University, Beijing 100193, China.
Fei XuNational Feed Drug Reference Laboratory, Feed Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Shuang-Yang DingNational Center for Veterinary Drug Safety Evaluation, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China.
Kui ZhuCollege of Veterinary Medicine, China Agricultural University, Beijing 100193, China.
China Agricultural University · CNChinese Academy of Agricultural Sciences · CNPeking University · CN

Funding

Fund of Beijing Innovation Team of Dairy Industry and Start-up Fund from China Agricultural University 2020RC002National Key Research and Development Program of China Stem Cell and Translational Research 2017YFC1600305
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Food MicrobiologyAnimalsBacillus cereusChinaConsumer Product SafetyDairy ProductsFoodborne DiseasesHumansPrevalenceRisk AssessmentRisk FactorsVirulenceBacillus cereusChinadairy productprevalencevirulence factor

Identifiers

PMID32674390
PMCPMC7405013
OpenAlexW3042882218

What OpenQuestion holds

Textmetadata
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.