Evidence map›Paper›PMID 32849416›Full record

ArticleFrontiers in microbiology2020

An Optimized Method to Assess Viable

Yulong Fu, Zhe Ye, Yangyang Jia, Jiahui Fan, Muhammad Zaffar Hashmi, Chaofeng Shen

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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

11 citing papers in PubMed, 26 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

Yulong FuDepartment of Environmental Engineering, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China.
Zhe YeDepartment of Environmental Engineering, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China.
Yangyang JiaDepartment of Environmental Engineering, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China.
Jiahui FanDepartment of Environmental Engineering, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China.
Muhammad Zaffar HashmiDepartment of Chemistry, COMSATS University Islamabad, Islamabad, Pakistan.
Chaofeng ShenDepartment of Environmental Engineering, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China.
Zhejiang University · CNCOMSATS University Islamabad · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Agricultural soil contaminated by manure is becoming an important source for the transmission of foodborne pathogens. There is an urgent need for a rapid and accurate method for viable pathogen detection in agricultural soil samples. Propidium monoazide (PMA) is a DNA-binding dye that can inhibit the amplification of DNA from dead cells through subsequent quantitative polymerase chain reaction (qPCR), thus allowing for viable cells detection and quantification. The objective of this study was to detect viable

Indexed as

agricultural soilsE. coli O157:H7PMAqPCRviable cells

Identifiers

PMID32849416
PMCPMC7411311
OpenAlexW3046817436

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.