Evidence map›Paper›PMID 31243556›Full record

ArticleEnvironmental monitoring and assessment2019

Bacteriological quality, heavy metal and antibiotic resistance in Sapanca Lake, Turkey.

Pelin S Çiftçi Türetken, Gülşen Altuğ, Mine Çardak, Kemal Güneş

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

1 citing paper in PubMed, 15 citations in OpenAlex.

  1. 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 at 3 institutions in 1 country.

Pelin S Çiftçi TüretkenFaculty of Aquatic Sciences, Marine Biology Department, Istanbul University, Istanbul, Turkey.
Gülşen AltuğFaculty of Aquatic Sciences, Marine Biology Department, Istanbul University, Istanbul, Turkey. galtug@istanbul.edu.tr.ORCID http://orcid.org/0000-0003-3251-7699
Mine ÇardakSchool of Applied Sciences, Canakkale Onsekiz Mart University, Canakkale, Turkey.
Kemal GüneşEnvironment and Cleaner Production Institute, TUBITAK Marmara Research Center, Gebze, Kocaeli, Turkey.
Istanbul University · TRÇanakkale Onsekiz Mart Üniversitesi · TRTÜBİTAK Marmara Research Center · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sapanca Lake is important as a source of drinking water. In this study, we aimed to detect the bacterial quality, the frequency of bacterial antibiotic and heavy metal resistance, and bioindicator bacteria in the water samples taken from Sapanca Lake in the period between 2008 and 2010. The resistance of bacterial isolates to certain antibiotics and heavy metal salts was investigated using disc diffusion and minimum inhibitory concentration techniques. Bacterial metabolic reactions were tested using the VITEK 2 Compact 30 micro identification system for identification of cultivable bacteria. Twenty-seven bacteria species belonging to three classes-Gammaproteobacteria, Bacilli, Flavobacteria-were recorded for the first time in Sapanca Lake. The highest indicator bacteria were recorded as 71 ± 3.1 × 10

Indexed as

Anti-Bacterial AgentsBacillusBacteriaDrinking WaterDrug Resistance, Multiple, BacterialEnvironmental MonitoringFlavobacteriaceaeGammaproteobacteriaLakesMetals, HeavyMicrobial Sensitivity TestsTurkeyWater Pollutants, ChemicalWater PollutionAnti-Bacterial AgentsDrinking WaterMetals, HeavyWater Pollutants, ChemicalAntibiotic resistanceBacteriological pollutionHeavy metal resistance vancomycinIndicator bacteriaNickel

Identifiers

PMID31243556
OpenAlexW2954179286

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.