Evidence map›Paper›PMID 34943217›Full record

ArticleBiology2021

Structural and Predicted Functional Diversities of Bacterial Microbiome in Response to Sewage Sludge Amendment in Coastal Mudflat Soil.

Yunlong Li, Yimin Wang, Chao Shen, Lu Xu, Siqiang Yi, Yilin Zhao, Wengang Zuo, Chuanhui Gu, Yuhua Shan, Yanchao Bai

Open access · goldAbstract read
In one paragraph

Article in Biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.5field-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

8 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Effects of biopolymers, cork, andFrontiers in microbiomes · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. 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

10 authors at 2 institutions in 1 country.

Yunlong LiCollege of Environmental Science and Engineering, Yangzhou University, Yangzhou 225127, China.ORCID 0000-0002-3659-3034
Yimin WangCollege of Environmental Science and Engineering, Yangzhou University, Yangzhou 225127, China.
Chao ShenCollege of Environmental Science and Engineering, Yangzhou University, Yangzhou 225127, China.
Lu XuCollege of Environmental Science and Engineering, Yangzhou University, Yangzhou 225127, China.
Siqiang YiCollege of Environmental Science and Engineering, Yangzhou University, Yangzhou 225127, China.
Yilin ZhaoCollege of Environmental Science and Engineering, Yangzhou University, Yangzhou 225127, China.
Wengang ZuoCollege of Environmental Science and Engineering, Yangzhou University, Yangzhou 225127, China.
Chuanhui GuEnvironmental Research Center, Duke Kunshan University, Kunshan 215316, China.
Yuhua ShanCollege of Environmental Science and Engineering, Yangzhou University, Yangzhou 225127, China.
Yanchao BaiCollege of Environmental Science and Engineering, Yangzhou University, Yangzhou 225127, China.ORCID 0000-0003-0553-8144
Yangzhou University · CNDuke Kunshan University · CN

Funding

National Natural Science Foundation of China 31872179National Natural Science Foundation of China 41977089Project Fund for Jiangsu Agriculture Development 2020-SJ-003-YD05Research Fund for Jiangsu Agricultural Industry Technology System JATS[2020]312 and JATS[2020]313
6 · The paper itself

Abstract

The study investigated the influence of sewage sludge application at rates of 0 (CK), 30 (ST), 75 (MT), and 150 (HT) t ha

Indexed as

bacterial communitybacterial functional diversitycoastal mudflatcore and unique microbiomesmicrobial diversitysaline–sodic soilsewage sludge

Identifiers

PMID34943217
PMCPMC8698727
OpenAlexW4200422340

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.