Evidence map›Paper›PMID 37731928›Full record

ArticleFrontiers in microbiology2023

Culture-independent assessment of the indigenous microbial diversity of Raniganj coal bed methane block, Durgapur.

Mansi Chawla, Meeta Lavania, Nishi Sahu, Sudhanshu Shekhar, Nimmi Singh, Anand More, Magesh Iyer, Sanjay Kumar, Komal Singh, Banwari Lal

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Review
  2. Frontiers in bioengineering and biotechnology · 2025
    Article
  3. Article
  4. 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

10 authors.

Mansi ChawlaEnvironmental and Industrial Biotechnology Division, The Energy and Resources Institute, New Delhi, India.
Meeta LavaniaEnvironmental and Industrial Biotechnology Division, The Energy and Resources Institute, New Delhi, India.
Nishi SahuEnvironmental and Industrial Biotechnology Division, The Energy and Resources Institute, New Delhi, India.
Sudhanshu ShekharONGC Energy Centre, New Delhi, India.
Nimmi SinghEnvironmental and Industrial Biotechnology Division, The Energy and Resources Institute, New Delhi, India.
Anand MoreEssar Oil and Gas Exploration and Production Limited, Durgapur, West Bengal, India.
Magesh IyerEssar Oil and Gas Exploration and Production Limited, Durgapur, West Bengal, India.
Sanjay KumarEssar Oil and Gas Exploration and Production Limited, Durgapur, West Bengal, India.
Komal SinghONGC Energy Centre, New Delhi, India.
Banwari LalEnvironmental and Industrial Biotechnology Division, The Energy and Resources Institute, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is widely acknowledged that conventional mining and extraction techniques have left many parts of the world with depleting coal reserves. A sustainable method for improving the recovery of natural gas from coalbeds involves enhancing the production of biogenic methane in coal mines. By taking a culture-independent approach, the diversity of the microbial community present in the formation water of an Indian reservoir was examined using 16S rRNA gene amplification in order to study the potential of microbial-enhanced coal bed methane (CBM) production from the deep thermogenic wells at a depth of 800-1200 m. Physicochemical characterization of formation water and coal samples was performed with the aim of understanding the

Indexed as

biogenic CBM enhancementcoalbed methane (CBM)methanogenesismicrobial communityRaniganj coal block

Identifiers

PMID37731928
PMCPMC10507629

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.