Evidence map›Paper›PMID 34780015›Full record

ArticleEnvironmental science and pollution research international2022

Use of functional units of periphytic protozoa for monitoring water quality in marine ecosystems: bioindicator redundancy.

Syed Shabi Ul Hassan Kazmi, Uroosa, Alan Warren, Guangjian Xu, Henglong Xu

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

0 citing papers in PubMed, 12 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 3 institutions in 2 countries.

Syed Shabi Ul Hassan KazmiDepartment of Microbial Ecology, Ocean University of China, Qingdao, 266003, People's Republic of China.
UroosaDepartment of Microbial Ecology, Ocean University of China, Qingdao, 266003, People's Republic of China.
Alan WarrenDepartment of Life Sciences, Natural History Museum, London, SW7 5BD, UK.
Guangjian XuCollege of Environment and Safety Engineering, Qingdao University of Science and Technology, Qingdao, 266000, People's Republic of China. guangjianxu@126.com.
Henglong XuDepartment of Microbial Ecology, Ocean University of China, Qingdao, 266003, People's Republic of China. henglongxu@126.com.ORCID http://orcid.org/0000-0003-1954-6647
Ocean University of China · CNNatural History Museum · GBQingdao University of Science and Technology · CN

Funding

National Natural Science Foundation of China 31672308
6 · The paper itself

Abstract

Although periphytic protozoan communities have long been used for the bioassessment of water quality, their utility is hampered by functional redundancy, leading to high "signal-to-noise" ratios. In this study, a 1-year baseline survey of periphytic protozoan communities was carried out in coastal waters of the Yellow Sea, northern China, in order to determine redundancy levels in conditions of differing water quality. Samples were collected at four sampling sites along a pollution gradient. Environmental variables such as salinity, chemical oxygen demand (COD), and concentrations of dissolved oxygen (DO), soluble reactive phosphates (SRP), ammonium nitrogen (NH

Indexed as

CiliophoraEcosystemBiodiversityChinaEnvironmental BiomarkersEnvironmental MonitoringWater QualityEnvironmental BiomarkersBioindicatorMarine environmentPeriphytic protozoaRedundancy levelResponse unitsWater quality

Identifiers

PMID34780015
OpenAlexW3211434733

What OpenQuestion holds

Textmetadata
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.