Evidence map›Paper›PMID 32445124›Full record

ArticleApplied biochemistry and biotechnology2021

Variation of Microbial Diversity in Catastrophic Oil Spill Area in Marine Ecosystem and Hydrocarbon Degradation of UCMs (Unresolved Complex Mixtures) by Marine Indigenous Bacteria.

Jyoti Prakash Maity, Yi-Hsun Huang, Hsien-Feng Lin, Chien-Yen Chen

Abstract read
PubMed Publisher
In one paragraph

Article in Applied biochemistry and biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 55% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Degradation of SDS by psychrotolerant Staphylococcus saprophyticus and Bacillus pumilus isolated from Southern Ocean water samples.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 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

4 authors at 1 institution in 3 countries.

Jyoti Prakash MaityDepartment of Earth and Environmental Sciences, National Chung Cheng University, 168 University Road, Ming-Shung, Chiayi County, 62102, Taiwan.ORCID https://orcid.org/0000-0003-4702-335X
Yi-Hsun HuangDepartment of Earth and Environmental Sciences, National Chung Cheng University, 168 University Road, Ming-Shung, Chiayi County, 62102, Taiwan.ORCID https://orcid.org/0000-0002-5605-5161
Hsien-Feng LinDepartment of Earth and Environmental Sciences, National Chung Cheng University, 168 University Road, Ming-Shung, Chiayi County, 62102, Taiwan.ORCID https://orcid.org/0000-0003-3099-0116
Chien-Yen ChenDepartment of Earth and Environmental Sciences, National Chung Cheng University, 168 University Road, Ming-Shung, Chiayi County, 62102, Taiwan. chien-yen.chen@oriel.oxon.org.ORCID http://orcid.org/0000-0003-1130-669X
National Chung Cheng University · TW

Funding

Ministry of Science and Technology, Taiwan MOST 108-2811-M-194-510; MOST 107-2811-M-194-006; MOST 106-2811-M-194-006
6 · The paper itself

Abstract

The study targeted an assessment of microbial diversity during oil spill in the marine ecosystem (Kaohsiung port, Taiwan) and screened dominant indigenous bacteria for oil degradation, as well as UCM weathering. DO was detected lower and TDS/conductivity was observed higher in oil-spilled area, compared to the control, where a significant correlation (R

Indexed as

Bacillus megateriumBiodegradation, EnvironmentalEcosystemHydrocarbonsStaphylococcus saprophyticusHydrocarbonsIndigenous bacteriaMarine oil spillMicrobial diversityOil degradationOil removal from waterUCM weathering

Identifiers

PMID32445124
OpenAlexW3027351166

What OpenQuestion holds

Textmetadata
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.