Evidence map›Paper›PMID 35688921›Full record

ArticleScientific reports2022

Deciphering waste bound nitrogen by employing psychrophillic Aporrectodea caliginosa and priming of coprolites by associated heterotrophic nitrifiers under high altitude Himalayas.

Tahir Sheikh, Zahoor Baba, Ali Mohd Yatoo, Basharat Hamid, Sadaf Iqbal, Fehim Wani, Sabah Fatima, Saleh Alfarraj, Mohammad Javed Ansari

Abstract read
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In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Tahir SheikhDivision of Agronomy, FoA, Sher-E-Kashmir University of Agricultural Sciences and Technology Kashmir-Wadura, Sopore, 193201, India. tahirkmr@gmail.com.
Zahoor BabaDivision of Basic Science, FoA, Sher-E-Kashmir University of Agricultural Sciences and Technology Kashmir-Wadura, Sopore, 193201, India.
Ali Mohd YatooDepartment of Environmental Sciences, University of Kashmir, Srinagar, 190001, India.
Basharat HamidDivision of Basic Science, FoA, Sher-E-Kashmir University of Agricultural Sciences and Technology Kashmir-Wadura, Sopore, 193201, India.
Sadaf IqbalDivision of Agronomy, FoA, Sher-E-Kashmir University of Agricultural Sciences and Technology Kashmir-Wadura, Sopore, 193201, India.
Fehim WaniDivision of Agricultural Economics & Statistics, FoA, Sher-E-Kashmir University of Agricultural Sciences and Technology Kashmir-Wadura, Sopore, 193201, India.
Sabah FatimaDepartment of Environmental Sciences, University of Kashmir, Srinagar, 190001, India.
Saleh AlfarrajZoology Department, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia.
Mohammad Javed AnsariDepartment of Botany, Hindu College Moradabad (Mahatma Jyotiba Phule Rohilkhand University Bareilly), Moradabad, 244001, India. mjavedansari@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Himalayan ecosystem is characterized by its fragile climate with rich repositories of biodiversity. Waste collection and disposal are becoming increasingly difficult due to topographical variations. Aporrectodea caligenosa, a versatile psychrophillic soil dweller, is a useful biocatalyst with potent bio-augmented capability for waste treatment at low temperatures. Microcosm experiments were conducted to elucidate the comprehensive nature of biogenic nitrogen transformation to NH

Indexed as

NitrogenOligochaetaAerobiosisAltitudeAnimalsDenitrificationEcosystemHeterotrophic ProcessesManureNitrificationSoilWastewaterManureNitrogenSoilWastewater

Identifiers

PMID35688921
PMCPMC9187671

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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.