Evidence map›Paper›PMID 34975791›Full record

ReviewFrontiers in microbiology2021

Advances in Metagenomics and Its Application in Environmental Microorganisms.

Lu Zhang, FengXin Chen, Zhan Zeng, Mengjiao Xu, Fangfang Sun, Liu Yang, Xiaoyue Bi, Yanjie Lin, YuanJiao Gao, HongXiao Hao and 3 more

Abstract readReview
In one paragraph

Review 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 102 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
102citing papers in PubMed, 5 pooled it
–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

102 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  17. Exploring theFrontiers in microbiology · 2026
    Article
  18. Article
  19. International journal of microbiology · 2026
    Review
  20. Article

42 more citing papers are in PubMed but not listed here.

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

13 authors.

Lu ZhangDepartment of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
FengXin ChenDepartment of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Zhan ZengDepartment of Hepatology Division 2, Peking University Ditan Teaching Hospital, Beijing, China.
Mengjiao XuDepartment of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Fangfang SunDepartment of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Liu YangDepartment of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Xiaoyue BiDepartment of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Yanjie LinDepartment of Hepatology Division 2, Peking University Ditan Teaching Hospital, Beijing, China.
YuanJiao GaoDepartment of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
HongXiao HaoDepartment of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Wei YiDepartment of Gynecology and Obstetrics, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Minghui LiDepartment of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Yao XieDepartment of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metagenomics is a new approach to study microorganisms obtained from a specific environment by functional gene screening or sequencing analysis. Metagenomics studies focus on microbial diversity, community constitute, genetic and evolutionary relationships, functional activities, and interactions and relationships with the environment. Sequencing technologies have evolved from shotgun sequencing to high-throughput, next-generation sequencing (NGS), and third-generation sequencing (TGS). NGS and TGS have shown the advantage of rapid detection of pathogenic microorganisms. With the help of new algorithms, we can better perform the taxonomic profiling and gene prediction of microbial species. Functional metagenomics is helpful to screen new bioactive substances and new functional genes from microorganisms and microbial metabolites. In this article, basic steps, classification, and applications of metagenomics are reviewed.

Indexed as

antibiotics resistance genesbioremediationmetagenomicsnext-generation sequencingshotgun sequencingthird generation sequencing

Identifiers

PMID34975791
PMCPMC8719654

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.