Evidence map›Paper›PMID 37577417›Full record

ArticleFrontiers in microbiology2023

Responses of soil bacterial community structure to different artificially restored forests in open-pit coal mine dumps on the loess plateau, China.

Shuang Liu, Yuru Gao, Jianwen Chen, Junjian Li, Hong Zhang

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2023. 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

5 authors.

Shuang LiuInstitute of Loess Plateau, Shanxi University, Taiyuan, China.
Yuru GaoInstitute of Loess Plateau, Shanxi University, Taiyuan, China.
Jianwen ChenInstitute of Loess Plateau, Shanxi University, Taiyuan, China.
Junjian LiInstitute of Loess Plateau, Shanxi University, Taiyuan, China.
Hong ZhangCollege of Environment and Resources, Shanxi University, Taiyuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial vegetation restoration is an effective method for improving soil quality. In areas experiencing coal mine subsidence, the microbial community is essential for reconstructing the ecological balance of the soil. Studies are needed to examine how soil microbial community structure respond to different artificial forest restoration types and ages, especially over long-term periods. Therefore, in this study, 10, 20, and 30-year trials were chosen with two restoration types:

Indexed as

forest types and agesmicrobial communitymining areasoil propertiesvegetation restoration

Identifiers

PMID37577417
PMCPMC10416249

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.