Evidence map›Paper›PMID 30647677›Full record

ArticleJournal, genetic engineering & biotechnology2017

Statistical optimisation of xylanase production by estuarine

Emilda Rosmine, Neethu Changanedassery Sainjan, Reshma Silvester, Aneesa Alikkunju, Saramma Aikkarakunnath Varghese

Open access · diamondAbstract read
In one paragraph

Article in Journal, genetic engineering & biotechnology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.2field-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

10 citing papers in PubMed, 54 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. HarnessingBioMed research international · 2022
    Article
  7. Article
  8. Review
  9. Article
  10. 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

5 authors at 1 institution in 1 country.

Emilda RosmineDepartment of Marine Biology, Microbiology and Biochemistry, School of Marine Sciences, CUSAT, Kerala, India.
Neethu Changanedassery SainjanDepartment of Marine Biology, Microbiology and Biochemistry, School of Marine Sciences, CUSAT, Kerala, India.
Reshma SilvesterDepartment of Marine Biology, Microbiology and Biochemistry, School of Marine Sciences, CUSAT, Kerala, India.
Aneesa AlikkunjuDepartment of Marine Biology, Microbiology and Biochemistry, School of Marine Sciences, CUSAT, Kerala, India.
Saramma Aikkarakunnath VargheseDepartment of Marine Biology, Microbiology and Biochemistry, School of Marine Sciences, CUSAT, Kerala, India.
Cochin University of Science and Technology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, xylanase has become an essential option for environmental friendly industrial biotechnological applications and the rising demand for its large scale production urge to take the advantage of statistical approach of optimization to investigate the interactive effects of prominent process factors involved to enhance xylanase production. In the present study, xylanase production from

Indexed as

Fruit juice clarificationOptimisationPlackett-BurmanRSMStreptomycesXylanase

Identifiers

PMID30647677
PMCPMC6296605
OpenAlexW2689090243

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.