Evidence map›Paper›PMID 33665025›Full record

ArticlePeerJ2021

Characteristics of planktonic and sediment bacterial communities in a heavily polluted urban river.

Heqing Huang, Jianhui Liu, Fanghui Zhang, Kangwen Zhu, Chunhua Yang, Qiujie Xiang, Bo Lei

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 16 citations in OpenAlex.

  1. Structure, Diversity, and Metabolic Potential of Bacterioplankton in an Urban River at a Long Low-Level Water Period.Water environment research : a research publication of the Water Environment Federation · 2026
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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 at 2 institutions in 1 country.

Heqing HuangChongqing Academy of Ecology and Environmental Sciences, Chongqing, China.
Jianhui LiuChongqing Academy of Ecology and Environmental Sciences, Chongqing, China.
Fanghui ZhangChongqing Academy of Ecology and Environmental Sciences, Chongqing, China.
Kangwen ZhuCollege of Resources and Environment, Southwest University, Chongqing, China.
Chunhua YangChongqing Academy of Ecology and Environmental Sciences, Chongqing, China.
Qiujie XiangChongqing Academy of Ecology and Environmental Sciences, Chongqing, China.
Bo LeiChongqing Academy of Ecology and Environmental Sciences, Chongqing, China.
Chongqing Academy of Environmental Science · CNSouthwest University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urban rivers represent a unique ecosystem in which pollution occurs regularly, altering the biogeochemical characteristics of waterbodies and sediments. However, little is presently known about the spatiotemporal patterns of planktonic and sediment bacterial community diversities and compositions in urban rivers. Herein, Illumina MiSeq high-throughput sequencing was performed to reveal the spatiotemporal dynamics of bacterial populations in Liangtan River, a heavily polluted urban river in Chongqing City (China). The results showed the richness and diversity of sediment bacteria were significantly higher than those of planktonic bacteria, whereas a strong overlap (46.7%) in OTUs was identified between water and sediment samples. Bacterial community composition remarkably differed in waters and sediments. Planktonic bacterial communities were dominated by

Indexed as

Bacterial community structureDiversityIllumina MiSeq high-throughput sequencingSewage dischargeUrban river

Identifiers

PMID33665025
PMCPMC7912603
OpenAlexW3132837503

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.