Evidence map›Paper›PMID 28794933›Full record

Article3 Biotech2017

Biosurfactant and enzyme mediated crude oil degradation by

Punniyakotti Parthipan, Punniyakotti Elumalai, Kuppusamy Sathishkumar, Devaraj Sabarinathan, Kadarkarai Murugan, Giovanni Benelli, Aruliah Rajasekar

Abstract read
In one paragraph

Article in 3 Biotech, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

17 citing papers in PubMed, 62 citations in OpenAlex.

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  9. Development of a highly tolerant bacterial consortium for asphaltene biodegradation in soils.Environmental science and pollution research international · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Use of Taguchi design for optimization of diesel-oil biodegradation using consortium ofJournal of environmental health science & engineering · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. 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

7 authors at 3 institutions in 2 countries.

Punniyakotti ParthipanEnvironmental Molecular Microbiology Research Laboratory, Department of Biotechnology, Thiruvalluvar University, Serkkadu, Vellore, Tamilnadu 632115 India.
Punniyakotti ElumalaiEnvironmental Molecular Microbiology Research Laboratory, Department of Biotechnology, Thiruvalluvar University, Serkkadu, Vellore, Tamilnadu 632115 India.
Kuppusamy SathishkumarEnvironmental Molecular Microbiology Research Laboratory, Department of Biotechnology, Thiruvalluvar University, Serkkadu, Vellore, Tamilnadu 632115 India.
Devaraj SabarinathanDepartment of Microbial Biotechnology, Bharathiar University, Coimbatore, Tamilnadu 641046 India.
Kadarkarai MuruganDivision of Entomology, Department of Zoology, School of Life Sciences, Bharathiar University, Coimbatore, Tamilnadu 641046 India.
Giovanni BenelliDepartment of Agriculture, Food and Environment, University of Pisa, via del Borghetto 80, 56124 Pisa, Italy.
Aruliah RajasekarEnvironmental Molecular Microbiology Research Laboratory, Department of Biotechnology, Thiruvalluvar University, Serkkadu, Vellore, Tamilnadu 632115 India.
Thiruvalluvar University · INBharathiar University · INUniversity of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study focuses on the optimization of biosurfactant (BS) production using two potential biosurfactant producer

Indexed as

Alkane hydroxylaseBiodegradationBiosurfactantEmulsification activityFT-IR spectroscopyGC–MS

Identifiers

PMID28794933
PMCPMC5545984
OpenAlexW2744841525

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.