Evidence map›Paper›PMID 31872291›Full record

ArticleEnvironmental monitoring and assessment2019

Effects of urbanization on water quality in a watershed in northeastern Brazil.

Thais Carvalho Cerqueira, Roberto Lemos Mendonça, Ronaldo Lima Gomes, Raildo Mota de Jesus, Daniela Mariano Lopes da Silva

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental monitoring and assessment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.5field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 58 citations in OpenAlex.

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  5. A comparative study on the performance of NSFWQIEnvironmental monitoring and assessment · 2020
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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

5 authors at 1 institution in 1 country.

Thais Carvalho CerqueiraDepartamento de Ciências Biológicas, Universidade Estadual de Santa Cruz (UESC), Ilhéus, BA, 45662-900, Brazil. thaiscerqueira2010@yahoo.com.br.ORCID http://orcid.org/0000-0002-2931-4674
Roberto Lemos MendonçaDepartamento de Ciências Agrárias e Ambientais, Universidade Estadual de Santa Cruz (UESC), Ilhéus, BA, Brazil.
Ronaldo Lima GomesDepartamento de Ciências Agrárias e Ambientais, Universidade Estadual de Santa Cruz (UESC), Ilhéus, BA, Brazil.
Raildo Mota de JesusDepartamento de Ciências Exatas e Tecnológicas, Universidade Estadual de Santa Cruz (UESC), Ilhéus, BA, Brazil.ORCID http://orcid.org/0000-0001-6366-948X
Daniela Mariano Lopes da SilvaDepartamento de Ciências Biológicas, Universidade Estadual de Santa Cruz (UESC), Ilhéus, BA, 45662-900, Brazil.ORCID http://orcid.org/0000-0002-9741-6170
Universidade Estadual de Santa Cruz · BR

Funding

Universidade Estadual de Santa Cruz 0220.1100.1360
6 · The paper itself

Abstract

Changes to land use generate imbalances in the natural dynamics of aquatic ecosystems. These changes can vary according to the specific characteristics of each environment and due to seasonal factors, reinforcing the importance of studies in this area in different regions of the globe. Thus, the aim of this study was to analyze the effects of land use change on the rivers and streams of the Cachoeira River Basin in the Northeast of Brazil. Samples were collected bi-monthly at 16 points along the basin over 1 year and analyzed for physical and chemical parameters (temperature, pH, conductivity, and percentage saturation of dissolved oxygen), inorganic nutrients (NO

Indexed as

UrbanizationBrazilEcosystemEnvironmental MonitoringRiversWater Pollutants, ChemicalWater QualityWater Pollutants, ChemicalLandscape ecologyTropical basinUrbanizationWater quality

Identifiers

PMID31872291
OpenAlexW2996731748

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.