Evidence map›Paper›PMID 36589721›Full record

ReviewBiochemistry research international2022

A Combined Study on Optimization,

Md Raisul Islam Rabby, Zabed Bin Ahmed, Gobindo Kumar Paul, Nafisa Nusrat Chowdhury, Fatema Akter, Mamudul Hasan Razu, Pranab Karmaker, Mala Khan

Open access · goldAbstract readReview
In one paragraph

Review in Biochemistry research international, 2022. 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
0.7field-weighted citation impact, top 36% 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, 8 citations in OpenAlex.

  1. Biochemistry and biophysics reports · 2025
    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

8 authors at 1 institution.

Md Raisul Islam RabbyBangladesh Reference Institute for Chemical Measurements, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0003-4225-4853
Zabed Bin AhmedBangladesh Reference Institute for Chemical Measurements, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0001-5463-4883
Gobindo Kumar PaulBangladesh Reference Institute for Chemical Measurements, Dhaka, Bangladesh.
Nafisa Nusrat ChowdhuryBangladesh Reference Institute for Chemical Measurements, Dhaka, Bangladesh.
Fatema AkterBangladesh Reference Institute for Chemical Measurements, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0002-0122-3578
Mamudul Hasan RazuBangladesh Reference Institute for Chemical Measurements, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0001-9953-9476
Pranab KarmakerBangladesh Reference Institute for Chemical Measurements, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0002-1249-3960
Mala KhanBangladesh Reference Institute for Chemical Measurements, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0002-0816-2413
Bangladesh Reference Institute for Chemical Measurements

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cellulase is a biocatalyst that hydrolyzes cellulosic biomass and is considered a major group of industrial enzymes for its applications. Extensive work has been done on microbial cellulase but fungi are considered a novel strain for their maximum cellulase production. Production cost and novel microbial strains are major challenges for its improvement where cheap agro wastes can be essential sources of cellulose as substrates. The researcher searches for more cellulolytic microbes from natural sources but the production level of isolated strains is comparatively low. So genetic modification or mutation can be employed for large-scale cellulase production before optimization. After genetic modification than

Identifiers

PMID36589721
PMCPMC9797302
OpenAlexW4313454629

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.