Evidence map›Paper›PMID 33224119›Full record

ArticleFrontiers in microbiology2020

Distribution of Antibiotic-Resistant

Ashish Kumar Singh, Saurav Das, Santosh Kumar, Varsha Rani Gajamer, Ishfaq Nabi Najar, Yangchen D Lepcha, Hare Krishna Tiwari, Samer Singh

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
  2. Review
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  4. Article
  5. Article
  6. Enterobacteriaceae as a Key Indicator of Huanglongbing Infection inInternational journal of molecular sciences · 2024
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  8. Article
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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

8 authors at 4 institutions in 2 countries.

Ashish Kumar SinghDepartment of Microbiology, School of Life Sciences, Sikkim University, Gangtok, India.
Saurav DasDepartment of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE, United States.
Santosh KumarDepartment of Microbiology, School of Life Sciences, Sikkim University, Gangtok, India.
Varsha Rani GajamerDepartment of Microbiology, School of Life Sciences, Sikkim University, Gangtok, India.
Ishfaq Nabi NajarDepartment of Microbiology, School of Life Sciences, Sikkim University, Gangtok, India.
Yangchen D LepchaState Institute of Rural Development (SIRD), Government of Sikkim, Gangtok, India.
Hare Krishna TiwariDepartment of Microbiology, School of Life Sciences, Sikkim University, Gangtok, India.
Samer SinghCentre of Experimental Medicine and Surgery (CEMS), Institute of Medical Sciences, Banaras Hindu University, Varanasi, India.
Sikkim University · INGovernment of Sikkim · INInstitute of Medical Sciences · INUniversity of Nebraska–Lincoln · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Every year millions of people die due to fatal waterborne diseases around the world especially in developing countries like India. Sikkim, a northeastern state of India, greatly depends on natural water sources. About 80% of the population of Sikkim depends on natural spring water for domestic as well as agricultural use. Recent waterborne disease outbreaks in the state raises a concerning question on water quality. In this study, we analyzed water quality especially for the detection of

Indexed as

antibiotic resistance geneEnterobacteriaceaemultidrug resistant (MDR)springvirulence genewaterborne pathogenswater quality

Identifiers

PMID33224119
PMCPMC7674312
OpenAlexW3096260789

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.