Evidence map›Paper›PMID 40264973›Full record

ArticleFrontiers in microbiology2025

Impact of agronomic practices on microbial diversity in brown-desert soil: insights from the Aksu region, Xinjiang.

Wenbo Guo, Yanbo Fu, Silayiding Simayi, Yunmeng Wen, Qingyong Bian, Jinquan Zhu, Zhigang Liu, Hanming Su, Yanhong Wei, Guohong Liu and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Wenbo GuoTurpan Experimental Station, Xinjiang Uygur Autonomous Region Academy of Agricultural Sciences, Turpan, China.
Yanbo FuAgricultural Resources and Environment Research Institute, Xinjiang Uygur Autonomous Region Academy of Agricultural Sciences, Ürümqi, China.
Silayiding SimayiTurpan Experimental Station, Xinjiang Uygur Autonomous Region Academy of Agricultural Sciences, Turpan, China.
Yunmeng WenTurpan Experimental Station, Xinjiang Uygur Autonomous Region Academy of Agricultural Sciences, Turpan, China.
Qingyong BianAgricultural Resources and Environment Research Institute, Xinjiang Uygur Autonomous Region Academy of Agricultural Sciences, Ürümqi, China.
Jinquan ZhuAgricultural Resources and Environment Research Institute, Xinjiang Uygur Autonomous Region Academy of Agricultural Sciences, Ürümqi, China.
Zhigang LiuTurpan Experimental Station, Xinjiang Uygur Autonomous Region Academy of Agricultural Sciences, Turpan, China.
Hanming SuTurpan Experimental Station, Xinjiang Uygur Autonomous Region Academy of Agricultural Sciences, Turpan, China.
Yanhong WeiAgricultural Resources and Environment Research Institute, Xinjiang Uygur Autonomous Region Academy of Agricultural Sciences, Ürümqi, China.
Guohong LiuTurpan Experimental Station, Xinjiang Uygur Autonomous Region Academy of Agricultural Sciences, Turpan, China.
Haifeng LiTurpan Experimental Station, Xinjiang Uygur Autonomous Region Academy of Agricultural Sciences, Turpan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study highlights how different agronomic practices reshape the microbial communities structure in brown-desert soils of Xinjiang's Aksu region, with the goal of informing sustainable soil stewardship and agricultural strategies. Employing an L

Indexed as

agronomic practicesbrown-desert soilcommunity structurerelative abundancesoil microorganisms

Identifiers

PMID40264973
PMCPMC12011806

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.