Evidence map›Paper›PMID 34721319›Full record

ArticleFrontiers in microbiology2021

Comparison of 16S rRNA Gene Based Microbial Profiling Using Five Next-Generation Sequencers and Various Primers.

Changwoo Park, Seung Bum Kim, Sang Ho Choi, Seil Kim

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.3field-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

26 citing papers in PubMed, 45 citations in OpenAlex.

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  19. Diabetes and gut microbiome.Frontiers in microbiology · 2024
    Review
  20. Antifungal potential of multi-drug-resistantFrontiers in cellular and infection microbiology · 2024
    Article
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

4 authors at 2 institutions in 1 country.

Changwoo ParkDepartment of Agricultural Biotechnology, Seoul National University, Seoul, South Korea.
Seung Bum KimDepartment of Biological Sciences, College of Bioscience and Biotechnology, Chungnam National University, Daejeon, South Korea.
Sang Ho ChoiDepartment of Agricultural Biotechnology, Seoul National University, Seoul, South Korea.
Seil KimGroup for Biometrology, Korea Research Institute of Standards and Science, Daejeon, South Korea.
Chungnam National University · KRSeoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial community analysis based on the 16S rRNA-gene is used to investigate both beneficial and harmful microorganisms in various fields and environments. Recently, the next-generation sequencing (NGS) technology has enabled rapid and accurate microbial community analysis. Despite these advantages of NGS based metagenomics study, sample transport, storage conditions, amplification, library preparation kits, sequencing, and bioinformatics procedures can bias microbial community analysis results. In this study, eight mock communities were pooled from genomic DNA of

Indexed as

16S rRNABias Index (BI)Droplet Digital PCR (ddPCR)mock communitynext-generation sequencing (NGS)reference material (RM)

Identifiers

PMID34721319
PMCPMC8552068
OpenAlexW3205673283

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.