Evidence map›Paper›PMID 35909600›Full record

ReviewCurrent research in microbial sciences2022

Bacterial diversity, physicochemical and geothermometry of South Asian hot springs.

Ishfaq Nabi Najar, Prayatna Sharma, Sayak Das, Mingma Thundu Sherpa, Santosh Kumar, Nagendra Thakur

Abstract readReview
In one paragraph

Review in Current research in microbial sciences, 2022. 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
–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

10 citing papers in PubMed.

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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

6 authors.

Ishfaq Nabi NajarDepartment of Microbiology, School of Life Sciences, Sikkim University, 6th Mile, Samdur, Gangtok, 737102 Sikkim, India.
Prayatna SharmaDepartment of Microbiology, School of Life Sciences, Sikkim University, 6th Mile, Samdur, Gangtok, 737102 Sikkim, India.
Sayak DasDepartment of Microbiology, School of Life Sciences, Sikkim University, 6th Mile, Samdur, Gangtok, 737102 Sikkim, India.
Mingma Thundu SherpaDepartment of Microbiology, School of Life Sciences, Sikkim University, 6th Mile, Samdur, Gangtok, 737102 Sikkim, India.
Santosh KumarDepartment of Microbiology, School of Life Sciences, Sikkim University, 6th Mile, Samdur, Gangtok, 737102 Sikkim, India.
Nagendra ThakurDepartment of Microbiology, School of Life Sciences, Sikkim University, 6th Mile, Samdur, Gangtok, 737102 Sikkim, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extreme ecosystems with enormous arrays of physicochemical or biological physiognomies serve as an important indicator of various processes occurred and/or occurring in and on the Earth. Among extreme habitats, hot springs represent geothermal features which are complex systems with a well-defined plumbing system. Besides geological tectonic based hypsography and orology annotations, the hot springs have served as hot spots for ages where there is an amalgamation of nature, religion, faith, health, and science. Thus, there remains an escalating scope to study these hot springs all over the world. The Himalayan Geothermal Belt (HGB) banquets three densely demographic countries i.e. Pakistan, India and China, that hosts numerous hot springs. Studies on the hot springs distributed over these countries reveal Proteobacteria, Firmicutes, Bacteroidetes and Actinobacteria as the predominant bacterial phyla. The bacterial diversity shows a significant positive correlation with physicochemical parameters like temperature, pH, Na

Indexed as

Bacterial diversityHimalayan geothermal beltHot springsMetagenomicsPhysicochemical

Identifiers

PMID35909600
PMCPMC9325890

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.