Evidence map›Paper›PMID 35173690›Full record

ArticleFrontiers in microbiology2021

Hyunsoonleella sp. HU1-3 Increased the Biomass of

Han Wang, Ali Mohamed Elyamine, Yuchun Liu, Wei Liu, Qixuan Chen, Yan Xu, Tao Peng, Zhong Hu

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.3field-weighted citation impact, top 13% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Functional assembly of surface microbiota ofFrontiers in microbiology · 2024
    Article
  5. Applications ofBiology · 2022
    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

8 authors at 2 institutions in 1 country.

Han WangKey Laboratory of Resources and Environmental Microbiology, Department of Biology, Shantou University, Shantou, China.
Ali Mohamed ElyamineKey Laboratory of Resources and Environmental Microbiology, Department of Biology, Shantou University, Shantou, China.
Yuchun LiuKey Laboratory of Resources and Environmental Microbiology, Department of Biology, Shantou University, Shantou, China.
Wei LiuKey Laboratory of Resources and Environmental Microbiology, Department of Biology, Shantou University, Shantou, China.
Qixuan ChenKey Laboratory of Resources and Environmental Microbiology, Department of Biology, Shantou University, Shantou, China.
Yan XuKey Laboratory of Resources and Environmental Microbiology, Department of Biology, Shantou University, Shantou, China.
Tao PengKey Laboratory of Resources and Environmental Microbiology, Department of Biology, Shantou University, Shantou, China.
Zhong HuKey Laboratory of Resources and Environmental Microbiology, Department of Biology, Shantou University, Shantou, China.
Shantou University · CNSouthern Marine Science and Engineering Guangdong Laboratory (Guangzhou) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Green algae are photosynthetic organisms and play an important role in coastal environment. The microbial community on the surface of green algae has an effect on the health and nutrition of the host. However, few species of epiphytic microbiota have been reported to play a role in promoting the growth of algae. In this study, 16S rDNA sequencing was used to study the changes of microbial composition on the surface of

Indexed as

bacterial treatmentgrowth stageHyunsoonleella sp. HU1-3promoting-plant-growth-bacteriaUlva fasciata

Identifiers

PMID35173690
PMCPMC8841488
OpenAlexW4210478474

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.