Evidence map›Paper›PMID 37512811›Full record

ArticleMicroorganisms2023

Responses of Zooplankton Community Pattern to Environmental Factors along the Salinity Gradient in a Seagoing River in Tianjin, China.

Xuewei Sun, Huayong Zhang, Zhongyu Wang, Tousheng Huang, Wang Tian, Hai Huang

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2023. 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
6.1field-weighted citation impact, top 3% 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, 17 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

6 authors at 1 institution in 1 country.

Xuewei SunResearch Center for Engineering Ecology and Nonlinear Science, North China Electric Power University, Beijing 102206, China.ORCID 0000-0001-6941-9326
Huayong ZhangResearch Center for Engineering Ecology and Nonlinear Science, North China Electric Power University, Beijing 102206, China.ORCID 0000-0001-8898-8567
Zhongyu WangResearch Center for Engineering Ecology and Nonlinear Science, North China Electric Power University, Beijing 102206, China.ORCID 0000-0002-1342-3024
Tousheng HuangResearch Center for Engineering Ecology and Nonlinear Science, North China Electric Power University, Beijing 102206, China.
Wang TianResearch Center for Engineering Ecology and Nonlinear Science, North China Electric Power University, Beijing 102206, China.
Hai HuangResearch Center for Engineering Ecology and Nonlinear Science, North China Electric Power University, Beijing 102206, China.
North China Electric Power University · CN

Funding

CHINESE MAJOR SCIENCE AND TECHNOLOGY PROGRAM FOR WATER POLLUTION CONTROL AND TREATMENT 2015ZX07203-011
6 · The paper itself

Abstract

As the primary consumers in aquatic organisms, zooplankton play an important role in aquatic ecosystems. It is valuable for management and researchers to have an insight into the responses of zooplankton community patterns to environmental factors. In this study, RDA and variation partitioning analysis were adopted to determine the important environmental factors affecting zooplankton abundance and biomass, as well as the relative importance of different environmental factors. The findings reveal that TN (total nitrogen), WD (water depth), pH, and SAL (salinity) were all important abiotic factors shaping the zooplankton community pattern in the study area. TN affected protozoa by influencing

Indexed as

environmental factornutrientsalinityseagoing riverzooplankton community pattern

Identifiers

PMID37512811
PMCPMC10384109
OpenAlexW4381804604

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.