Evidence map›Paper›PMID 29562675›Full record

ArticleInternational journal of environmental research and public health2018

Assessment of the Eutrophication-Related Environmental Parameters in Two Mediterranean Lakes by Integrating Statistical Techniques and Self-Organizing Maps.

Ekaterini Hadjisolomou, Konstantinos Stefanidis, George Papatheodorou, Evanthia Papastergiadou

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Ekaterini HadjisolomouLaboratory of Marine Geology and Physical Oceanography, Department of Geology, Patras University, 26504 Patras, Greece. hadjisolomou@gmail.com.ORCID 0000-0003-3711-9585
Konstantinos StefanidisDepartment of Biology, University of Patras-University Campus Rio, 26500 Patras, Greece. kstefani@chi.civil.ntua.gr.ORCID 0000-0002-9121-3188
George PapatheodorouLaboratory of Marine Geology and Physical Oceanography, Department of Geology, Patras University, 26504 Patras, Greece. George.Papatheodorou@upatras.gr.
Evanthia PapastergiadouDepartment of Biology, University of Patras-University Campus Rio, 26500 Patras, Greece. evapap@upatras.gr.ORCID 0000-0003-4430-878X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the last decades, Mediterranean freshwater ecosystems, especially lakes, have been under severe pressure due to increasing eutrophication and water quality deterioration. In this article, we compared the effectiveness of different data analysis methods by assessing the contribution of environmental parameters to eutrophication processes. For this purpose, principal components analysis (PCA), cluster analysis, and a self-organizing map (SOM) were applied, using water quality data from two transboundary lakes of North Greece. SOM is considered as an advanced and powerful data analysis tool because of its ability to represent complex and nonlinear relationships among multivariate data sets. The results of PCA and cluster analysis agreed with the SOM results, although the latter provided more information because of the visualization abilities regarding the parameters' relationships. Besides nutrients that were found to be a key factor for controlling chlorophyll-a (Chl

Indexed as

EutrophicationChlorophyll ACluster AnalysisEnvironmental MonitoringGreeceLakesNeural Networks, ComputerPrincipal Component AnalysisWater QualityChlorophyll Acluster analysisMediterranean lakesneural networksnutrientsPCAself-organizing map

Identifiers

PMID29562675
PMCPMC5877092

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Registered trials

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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.