Evidence map›Paper›PMID 31787947›Full record

ArticleFrontiers in microbiology2019

Characterization of Mixed-Species Biofilm Formed by

Ping Chen, Jing Jing Wang, Bin Hong, Ling Tan, Jun Yan, Zhaohuan Zhang, Haiquan Liu, Yingjie Pan, Yong Zhao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.8field-weighted citation impact, top 5% 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

19 citing papers in PubMed, 61 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Predicting the Growth ofMicroorganisms · 2023
    Article
  9. Antimicrobial and Antibiofilm Potential ofAntibiotics (Basel, Switzerland) · 2023
    Article
  10. Review
  11. Article
  12. Article
  13. Veterinary world · 2022
    Article
  14. Review
  15. Article
  16. Article
  17. Characterization of Binary Biofilms ofFrontiers in microbiology · 2021
    Article
  18. Comparative Proteome Analysis ofFrontiers in microbiology · 2020
    Article
  19. Review
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

9 authors at 2 institutions in 1 country.

Ping ChenCollege of Food Science and Technology, Shanghai Ocean University, Shanghai, China.
Jing Jing WangCollege of Food Science and Technology, Shanghai Ocean University, Shanghai, China.
Bin HongCollege of Food Science and Technology, Shanghai Ocean University, Shanghai, China.
Ling TanCollege of Food Science and Technology, Shanghai Ocean University, Shanghai, China.
Jun YanCollege of Food Science and Technology, Shanghai Ocean University, Shanghai, China.
Zhaohuan ZhangCollege of Food Science and Technology, Shanghai Ocean University, Shanghai, China.
Haiquan LiuCollege of Food Science and Technology, Shanghai Ocean University, Shanghai, China.
Yingjie PanCollege of Food Science and Technology, Shanghai Ocean University, Shanghai, China.
Yong ZhaoCollege of Food Science and Technology, Shanghai Ocean University, Shanghai, China.
Shanghai Ocean University · CNMinistry of Agriculture and Rural Affairs · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mixed-species biofilms are the predominant form of biofilms found in nature. Research on biofilms have typically concentrated on single species biofilms and this study expands the horizon of biofilm research, where the characterization and dynamic changes of mono and mixed-species biofilms formed by the pathogens,

Indexed as

foodborne pathogenListeria monocytogenesminimum biofilm inhibitory concentrationmixed-species biofilmsVibrio parahaemolyticus

Identifiers

PMID31787947
PMCPMC6856058
OpenAlexW2981899521

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.