Evidence map›Paper›PMID 37102867›Full record

ArticleMicrobiology spectrum2023

Comprehensive Assessment of 16S rRNA Gene Amplicon Sequencing for Microbiome Profiling across Multiple Habitats.

Wenke Zhang, Xiaoqian Fan, Haobo Shi, Jian Li, Mingqian Zhang, Jin Zhao, Xiaoquan Su

Abstract read
In one paragraph

Article in Microbiology spectrum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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  9. Review
  10. Article
  11. GGut microbes · 2025
    Review
  12. Article
  13. Exploring potential biomarkers in foods of animal origin.Journal of food science and technology · 2025
    Review
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

7 authors.

Wenke ZhangCollege of Computer Science and Technology, Qingdao University, Qingdao, China.
Xiaoqian FanShouguang Hospital of Traditional Chinese Medicine, Weifang, China.
Haobo ShiCollege of Computer Science and Technology, Qingdao University, Qingdao, China.
Jian LiCollege of Computer Science and Technology, Qingdao University, Qingdao, China.
Mingqian ZhangCollege of Computer Science and Technology, Qingdao University, Qingdao, China.
Jin ZhaoCollege of Computer Science and Technology, Qingdao University, Qingdao, China.
Xiaoquan SuCollege of Computer Science and Technology, Qingdao University, Qingdao, China.ORCID 0000-0003-2144-1991

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 16S rRNA gene works as a rapid and effective marker for the identification of microorganisms in complex communities; hence, a huge number of microbiomes have been surveyed by 16S amplicon-based sequencing. The resolution of the 16S rRNA gene is always considered only at the genus level; however, it has not been verified on a wide range of microbes yet. To fully explore the ability and potential of the 16S rRNA gene in microbial profiling, here, we propose Qscore, a comprehensive method to evaluate the performance of amplicons by integrating the amplification rate, multitier taxonomic annotation, sequence type, and length. Our

Indexed as

MicrobiotaGenes, rRNAHigh-Throughput Nucleotide SequencingMetagenomePhylogenyRNA, Ribosomal, 16SSequence Analysis, DNARNA, Ribosomal, 16S16S rRNAamplicondatabasemicrobiome

Identifiers

PMID37102867
PMCPMC10269731

What OpenQuestion holds

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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.